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[CourseClub.Me] SkillShare - Data Science and Business Analytics with Python

  • 28. ML Interpretability.mp4 201.1 MB
  • 30. Visuals & Reports.mp4 201.1 MB
  • 31. Visualization Basics.mp4 201.1 MB
  • 20. Dividing Data into Subsets.mp4 170.7 MB
  • 14. Scaling and Binning Numerical Data.mp4 156.4 MB
  • 5. How To Find Help.mp4 140.0 MB
  • 10. Dealing with Huge Data.mp4 129.2 MB
  • 25. Machine Learning Classification.mp4 125.0 MB
  • 15. Validating Data with Schemas.mp4 124.1 MB
  • 18. Visual Data Exploration.mp4 121.4 MB
  • 19. Descriptive Statistics.mp4 121.4 MB
  • 27. Validation of Machine Learning Models.mp4 120.7 MB
  • 29. Intro to Machine Learning Fairness.mp4 105.2 MB
  • 13. Dealing with Missing Data.mp4 104.9 MB
  • 23. Linear Regression for Price Prediction.mp4 97.8 MB
  • 16. Encoding Categorical Data.mp4 83.6 MB
  • 17. Exploratory Data Analysis.mp4 83.6 MB
  • 26. Data Clustering for Deeper Insights.mp4 80.8 MB
  • 9. Loading Any Data File.mp4 78.9 MB
  • 24. Decision Trees and Random Forests.mp4 76.5 MB
[磁力链接] 添加时间:2024-02-07 大小:3.3 GB 最近下载:2025-05-21 热度:850

[FreeCoursesOnline.Me] Coursera - Data Science Fundamentals with Python and SQL Specialization

  • Tools-for-data-science.zip 220.0 MB
  • SQL-data-science.zip 189.0 MB
  • Python-for-applied-data-science-ai.zip 180.3 MB
  • Statistics-for-data-science-python.zip 163.4 MB
  • Python-project-for-data-science.zip 14.4 MB
  • 0. Websites you may like/1. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
  • FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url 290 Bytes
  • Content Info.txt 283 Bytes
  • 0. Websites you may like/2. FTUApps.com Download Cracked Developers Applications For Free.url 239 Bytes
  • Support Us.txt 185 Bytes
[磁力链接] 添加时间:2024-02-09 大小:767.0 MB 最近下载:2025-06-15 热度:6128

[FreeCoursesOnline.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP

  • Chapter 9 Vertex AI - Machine Learning Framework/007. Lab - Model Deployment Flow Using Python SDK.mp4 63.2 MB
  • Chapter 7 Data Science Models with Google App Engine/008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4 63.0 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/003. Lab - Custom Model Training Using Web Console.mp4 59.7 MB
  • Chapter 8 Dataproc Serverless PySpark/007. Lab - Airflow with Serverless PySpark.mp4 55.6 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4 54.8 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/005. Lab - Run and Ship Applications Using the Container Registry.mp4 54.6 MB
  • Chapter 7 Data Science Models with Google App Engine/003. Lab - Deploy Training Code to App Engine.mp4 53.9 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/007. Lab – Use Case Deployment - Part-1.mp4 47.2 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4 46.6 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/007. Lab - Deploy Python Application to Cloud Run.mp4 46.1 MB
  • Chapter 5 Google App Engine - For Serverless Applications/008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4 45.8 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/004. Lab - Custom Model Training Using SDK and Model Registries.mp4 43.5 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/010. Lab - Code Walkthrough Using Kubeflow and Python.mp4 42.3 MB
  • Chapter 3 Get Started with Google Cloud/003. Get Comfortable with Basics of gcloud CLI.mp4 40.1 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/010. Lab - Python Application Deployment Using Cloud Build.mp4 40.0 MB
  • Chapter 7 Data Science Models with Google App Engine/006. Lab - Data Validation Using App Engine.mp4 39.9 MB
  • Chapter 3 Get Started with Google Cloud/004. gsutil and Bash Command Basics.mp4 39.0 MB
  • Chapter 5 Google App Engine - For Serverless Applications/012. Lab - Scalability and Instance Types in App Engine.mp4 38.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4 37.7 MB
  • Chapter 8 Dataproc Serverless PySpark/004. Lab - Develop and Submit PySpark Job.mp4 37.0 MB
[磁力链接] 添加时间:2024-02-11 大小:1.8 GB 最近下载:2025-06-12 热度:1512

[UdemyCourseDownloader] R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 129.5 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 86.4 MB
  • 7. Homework Solutions/3. Homework Solution Section 4 Basketball Free Throws.mp4 83.9 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 80.5 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 77.0 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 73.0 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 68.3 MB
  • 4. Matrices/12. Basketball Insights.mp4 68.2 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 62.6 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 61.3 MB
  • 1. Hit The Ground Running/2. Updates on Udemy Reviews.mp4 59.8 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 59.5 MB
  • 5. Data Frames/10. Building Dataframes.mp4 58.6 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 57.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 56.4 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 56.1 MB
  • 4. Matrices/9. Subsetting.mp4 55.2 MB
  • 4. Matrices/2. Project Brief Basketball Trends.mp4 54.4 MB
  • 1. Hit The Ground Running/4. Exercise - Get Excited!.mp4 53.1 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 52.4 MB
[磁力链接] 添加时间:2024-02-12 大小:2.9 GB 最近下载:2025-02-20 热度:31

Favero L. Data Science, Analytics and Machine Learning with R 2023

  • Favero L. Data Science, Analytics and Machine Learning with R 2023.pdf 186.2 MB
[磁力链接] 添加时间:2024-02-12 大小:186.2 MB 最近下载:2025-06-15 热度:1412

[ DevCourseWeb.com ] Udemy - Data Science And Machine Learning Basic To Advanced

  • ~Get Your Files Here !/8 - Projects/36 - Insurance Cost Prediction.mp4 83.7 MB
  • ~Get Your Files Here !/8 - Projects/35 - Diabetes Prediction.mp4 79.1 MB
  • ~Get Your Files Here !/6 - Machine Learning/28 - KNN.mp4 78.9 MB
  • ~Get Your Files Here !/6 - Machine Learning/27 - Logistic Regression.mp4 75.0 MB
  • ~Get Your Files Here !/6 - Machine Learning/30 - Decision Tree.mp4 74.3 MB
  • ~Get Your Files Here !/6 - Machine Learning/33 - GridSearch CV.mp4 73.9 MB
  • ~Get Your Files Here !/5 - Data Preparation/19 - Feature Encoding.mp4 67.6 MB
  • ~Get Your Files Here !/6 - Machine Learning/32 - K Means Clustering.mp4 66.1 MB
  • ~Get Your Files Here !/5 - Data Preparation/18 - Handling Missing Values.mp4 65.0 MB
  • ~Get Your Files Here !/6 - Machine Learning/29 - SVM.mp4 63.9 MB
  • ~Get Your Files Here !/4 - Data Visualization/17 - Seaborn.mp4 63.3 MB
  • ~Get Your Files Here !/7 - Machine Learning Pipeline/34 - Machine Learning Pipeline.mp4 57.0 MB
  • ~Get Your Files Here !/5 - Data Preparation/20 - Feature Scaling.mp4 56.7 MB
  • ~Get Your Files Here !/6 - Machine Learning/25 - Regression Analysis.mp4 56.1 MB
  • ~Get Your Files Here !/6 - Machine Learning/26 - Linear Regression.mp4 52.0 MB
  • ~Get Your Files Here !/2 - Numpy/4 - Creating Arrays in Numpy.mp4 51.9 MB
  • ~Get Your Files Here !/2 - Numpy/5 - Array Shape and Reshape.mp4 49.4 MB
  • ~Get Your Files Here !/6 - Machine Learning/31 - Random Forest.mp4 48.6 MB
  • ~Get Your Files Here !/3 - Pandas/14 - Pandas Analyzing DataFrames.mp4 48.3 MB
  • ~Get Your Files Here !/4 - Data Visualization/16 - Different types of plots in Matplotlib.mp4 45.8 MB
[磁力链接] 添加时间:2024-02-13 大小:1.7 GB 最近下载:2025-06-10 热度:394

[GigaCourse.Com] Udemy - Complete Machine Learning Data Science Bootcamp 2023

  • 5 - Data Science Environment Setup/42 - Windows Environment Setup 2.mp4 437.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/139 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.9 MB
  • 16 - Career Advice Extra Bits/272 - CWD Git Github.mp4 381.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/116 - NEW Choosing The Right Model For Your Data.mp4 371.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/106 - Typical scikitlearn Workflow.mp4 353.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/107 - Optional Debugging Warnings In Jupyter.mp4 337.9 MB
  • 16 - Career Advice Extra Bits/266 - What If I Dont Have Enough Experience.mp4 328.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/142 - Tuning Hyperparameters.mp4 325.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/243 - Training Your Deep Neural Network.mp4 312.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Feature Engineering.mp4 305.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Make And Transform Predictions.mp4 292.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 - Turning Data Into Batches 2.mp4 279.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/186 - Turning Data Into Numbers.mp4 279.3 MB
  • 5 - Data Science Environment Setup/39 - Mac Environment Setup.mp4 274.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/149 - Putting It All Together.mp4 274.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/196 - Preproccessing Our Data.mp4 271.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/198 - Feature Importance.mp4 266.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Visualizing And Evaluate Model Predictions 2.mp4 266.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/183 - Exploring Our Data.mp4 264.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/251 - Training Model On Full Dataset.mp4 264.0 MB
[磁力链接] 添加时间:2024-02-13 大小:32.5 GB 最近下载:2025-06-16 热度:7348

Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2024-02-13 大小:21.1 GB 最近下载:2025-02-25 热度:396

[ DevCourseWeb.com ] Udemy - A Foundation For Machine Learning and Data Science

  • ~Get Your Files Here !/6. Python Overview/2. [Hands on 1] Python Data Types & Structures, NumPy Data Structures.mp4 573.4 MB
  • ~Get Your Files Here !/6. Python Overview/14. [Hands on 7] Combining Datasets.mp4 287.0 MB
  • ~Get Your Files Here !/6. Python Overview/16. [Hands on 8] Aggregation and Grouping.mp4 213.9 MB
  • ~Get Your Files Here !/6. Python Overview/18. [Hands on 9] Strings, List-Set-Dictionary Comp., Functions, Unpacking Seqence.mp4 201.9 MB
  • ~Get Your Files Here !/6. Python Overview/12. [Hands on 6] Hierarchical Indexing Multi-Indexing.mp4 196.7 MB
  • ~Get Your Files Here !/6. Python Overview/4. [Hands on 2] Pandas Data Structures.mp4 190.4 MB
  • ~Get Your Files Here !/8. Statistics – An Overview/1. Statistics – An Overview.mp4 166.9 MB
  • ~Get Your Files Here !/6. Python Overview/1. Python Data Types & Structures, NumPy Data Structures.mp4 126.9 MB
  • ~Get Your Files Here !/7. Linear Algebra – An Overview/1. Linear Algebra – An Overview.mp4 97.8 MB
  • ~Get Your Files Here !/9. Probability – An Overview/1. Probability – An Overview.mp4 95.6 MB
  • ~Get Your Files Here !/3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 88.4 MB
  • ~Get Your Files Here !/6. Python Overview/17. Strings, List-Set-Dictionary Comprehensions, Functions, Unpacking Sequence.mp4 87.6 MB
  • ~Get Your Files Here !/6. Python Overview/6. [Hands on 3] Pandas Data Indexing and Selection.mp4 78.7 MB
  • ~Get Your Files Here !/6. Python Overview/8. [Hands on 4] Pandas Operating on Data.mp4 73.0 MB
  • ~Get Your Files Here !/10. OOPs – An Overview/1. OOPs – An Overview.mp4 64.8 MB
  • ~Get Your Files Here !/6. Python Overview/10. [Hands on 5] Handling missing data.mp4 56.9 MB
  • ~Get Your Files Here !/5. JupyterLab – An Overview/2. [Hands on] JupyterLab Overview (Notebook Commands, Markdown Codes).mp4 55.7 MB
  • ~Get Your Files Here !/11. Important Libraries – An Overview/1. Important Libraries – An Overview.mp4 45.9 MB
  • ~Get Your Files Here !/6. Python Overview/15. Aggregation and Grouping.mp4 44.8 MB
  • ~Get Your Files Here !/6. Python Overview/5. Pandas Data Indexing and Selection.mp4 33.4 MB
[磁力链接] 添加时间:2024-02-14 大小:3.0 GB 最近下载:2025-06-15 热度:4351

[ FreeCourseWeb.com ] Udemy - SQL for Data Science ,Oracle , MySQL, R and Python [2020]

  • ~Get Your Files Here !/10. SQL in R and Data Visualizations/3. Data Visualizations in R using ggplot.mp4 109.5 MB
  • ~Get Your Files Here !/12. Case Study - Market Data/7. Assignment Solutions-2.mp4 92.9 MB
  • ~Get Your Files Here !/5. Basics of SQL - Write your 1st SQL/1. Write your 1st SQL.mp4 70.6 MB
  • ~Get Your Files Here !/11. ImportExport Files into Database - Oracle and MySQL/3. Import CSV file in MySQL - 1.mp4 67.0 MB
  • ~Get Your Files Here !/9. SQL in Python and Data Visualizations/3. SQL Python-Upload Market Data.mp4 63.6 MB
  • ~Get Your Files Here !/5. Basics of SQL - Write your 1st SQL/2. IN,NOT IN,BETWEEN Clause.mp4 61.4 MB
  • ~Get Your Files Here !/3. Database Installation - Oracle and MySQL/5. Installation of Oracle Database (optional).mp4 51.3 MB
  • ~Get Your Files Here !/5. Basics of SQL - Write your 1st SQL/3. Null ,Not Null , Order by Clause.mp4 50.7 MB
  • ~Get Your Files Here !/12. Case Study - Market Data/1. DML and DDL commands for Market Data.mp4 48.4 MB
  • ~Get Your Files Here !/12. Case Study - Market Data/4. Select Clauses for Market Data in Oracle.mp4 47.3 MB
  • ~Get Your Files Here !/7. Nested SQL and Joins/6. Outer Join.mp4 47.1 MB
  • ~Get Your Files Here !/9. SQL in Python and Data Visualizations/6. MySQL Database Connection with Python.mp4 45.4 MB
  • ~Get Your Files Here !/12. Case Study - Market Data/2. Select Clauses for Market Data in MySQL.mp4 43.7 MB
  • ~Get Your Files Here !/9. SQL in Python and Data Visualizations/5. Visualizations in Python- Seaborn and Pandas.mp4 43.1 MB
  • ~Get Your Files Here !/3. Database Installation - Oracle and MySQL/3. Installation of MySQL Database.mp4 42.4 MB
  • ~Get Your Files Here !/7. Nested SQL and Joins/2. Nested SQL 1.mp4 39.8 MB
  • ~Get Your Files Here !/11. ImportExport Files into Database - Oracle and MySQL/1. Import CSV file in Oracle Database - 1.mp4 39.0 MB
  • ~Get Your Files Here !/11. ImportExport Files into Database - Oracle and MySQL/2. Import CSV file in Oracle Database - 2.mp4 38.8 MB
  • ~Get Your Files Here !/9. SQL in Python and Data Visualizations/4. Write SQL in Python.mp4 38.4 MB
  • ~Get Your Files Here !/1. Introduction/4. SQL Concept.mp4 38.1 MB
[磁力链接] 添加时间:2024-02-15 大小:1.8 GB 最近下载:2025-06-15 热度:1523

[FreeCourseSite.com] Udemy - Complete Python for Data Science & Machine Learning from A-Z

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-06-14 热度:3232

[CourserHub.com] Coursera - Statistical Modeling for Data Science Applications Specialization

  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/02_explanation/01_defining-causality.mp4 79.6 MB
  • modern-regression-analysis-in-r/01_introduction-to-statistical-models/02_introduction-to-statistical-modeling/03_frameworks-and-goals-of-statistical-modeling.mp4 63.3 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/01_the-conceptual-framework-of-experimental-design/01_the-conceptual-framework-of-experimental-design.mp4 59.7 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/02_variability-and-identifiability-in-regression-models/04_regression-modeling-in-r-a-second-pass.mp4 58.2 MB
  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/01_prediction/04_making-predictions-using-real-data-in-r.mp4 52.8 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/01_statistical-inference-introduction-and-t-tests/04_t-tests-in-r.mp4 52.6 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/01_least-squares/01_introduction-to-least-squares.mp4 47.8 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/01_statistical-inference-introduction-and-t-tests/02_the-sampling-distribution-of-the-least-squares-estimator.mp4 46.0 MB
  • generalized-linear-models-and-nonparametric-regression/02_models-for-count-data/01_poisson-regression-basics/04_poisson-regression-on-real-data-in-r.mp4 44.7 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/01_least-squares/04_regression-modeling-in-r-a-first-pass.mp4 43.9 MB
  • modern-regression-analysis-in-r/03_inference-in-linear-regression/02_statistical-inference-the-f-tests-and-confidence-intervals/02_the-f-test.mp4 43.5 MB
  • modern-regression-analysis-in-r/01_introduction-to-statistical-models/03_the-linear-regression-model/04_the-appropriateness-of-linear-regression.mp4 41.8 MB
  • modern-regression-analysis-in-r/02_linear-regression-parameter-estimation/02_variability-and-identifiability-in-regression-models/02_the-coefficient-of-determination.mp4 41.4 MB
  • anova-and-experimental-design/02_hypothesis-testing-in-the-anova-context/04_type-ii-error-and-power-in-the-anova-context/01_type-ii-error-and-power-in-the-anova-context.mp4 40.6 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/02_the-completely-randomized-design/01_the-completely-randomized-design.mp4 40.5 MB
  • anova-and-experimental-design/03_two-way-anova-and-interactions/04_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations/01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.mp4 40.2 MB
  • anova-and-experimental-design/01_introduction-to-anova-and-experimental-design/02_introduction-to-anova-and-experimental-design/03_introduction-to-experimental-design.mp4 39.2 MB
  • modern-regression-analysis-in-r/04_prediction-and-explanation-in-linear-regression-analysis/01_prediction/01_differentiating-prediction-and-explanation.mp4 38.6 MB
  • anova-and-experimental-design/02_hypothesis-testing-in-the-anova-context/01_beyond-the-full-f-test/01_beyond-the-full-f-test.mp4 37.6 MB
  • anova-and-experimental-design/04_experimental-design-basic-concepts-and-designs/05_further-issues-in-experimental-design/03_ethical-issues-in-experimental-design.mp4 37.6 MB
[磁力链接] 添加时间:2024-02-17 大小:2.8 GB 最近下载:2025-06-15 热度:2800

[ DevCourseWeb.com ] Udemy - Data Science Innovations - Advanced Methods, Interactive Labs

  • ~Get Your Files Here !/1. Introduction to Advanced Data Science/7. Install the Jupyter-notebook in the linux from Basics.mp4 113.6 MB
  • ~Get Your Files Here !/1. Introduction to Advanced Data Science/9. Jupyter-notebook introduction___ how to use it, how to run it from basics.mp4 56.5 MB
  • ~Get Your Files Here !/1. Introduction to Advanced Data Science/10. What is Variable in the python from Basics.mp4 52.2 MB
  • ~Get Your Files Here !/1. Introduction to Advanced Data Science/8. install jupyter with python in linux with the help of pip command.mp4 48.9 MB
  • ~Get Your Files Here !/9. Recommendation Systems/2. Advanced Collaborative Filtering Techniques for Recommendation Systems.html 20.9 kB
  • ~Get Your Files Here !/2. Mastering Data Analysis Techniques/5. Advanced Pattern Recognition Techniques for Data Analysis and Anomaly Detection.html 19.1 kB
  • ~Get Your Files Here !/24. Meta-Learning and AutoML/5. Exploring Meta-Learning and AutoML Challenges, Opportunities, and Future Implic.html 18.4 kB
  • ~Get Your Files Here !/19. Anomaly Detection/3. Optimizing Anomaly Detection Models Fine-Tuning for Precision.html 16.5 kB
  • ~Get Your Files Here !/9. Recommendation Systems/1. Mastering Recommendation Systems Personalized Content Delivery.html 16.2 kB
  • ~Get Your Files Here !/8. Natural Language Processing (NLP)/1. Advanced Natural Language Processing Foundations and Concepts for Data Science.html 16.2 kB
  • ~Get Your Files Here !/21. Reinforcement Learning/2. Reinforcement Learning Markov Decision Processes for Sequential Decision-Making.html 15.3 kB
  • ~Get Your Files Here !/5. Model Evaluation and Optimization/4. Understanding the Bias-Variance Tradeoff in Data Science Achieving Optimal Mode.html 15.1 kB
  • ~Get Your Files Here !/23. Explainable AI (XAI)/2. Interpretable Models in Machine Learning A Comprehensive Overview.html 14.9 kB
  • ~Get Your Files Here !/22. Big Data Analytics with Spark/3. Simplifying Big Data Querying and Analysis with Spark SQL and DataFrames.html 14.6 kB
  • ~Get Your Files Here !/24. Meta-Learning and AutoML/1. Meta-Learning Fundamentals Building Adaptive Models for Efficient Learning.html 14.5 kB
  • ~Get Your Files Here !/18. Time Series Analysis and Forecasting/1. Mastering Time Series Analysis Foundations, Fundamentals, and Predictive Modeli.html 14.5 kB
  • ~Get Your Files Here !/19. Anomaly Detection/2. Advanced Fraud Detection with Anomaly Detection Techniques Strategies and Best.html 14.5 kB
  • ~Get Your Files Here !/17. Advanced Feature Engineering/1. Mastering Feature Engineering Unlocking the Power of Data Insights.html 14.3 kB
  • ~Get Your Files Here !/5. Model Evaluation and Optimization/5. Advanced Model Optimization Fine-tuning Machine Learning Models for Optimal Per.html 14.2 kB
  • ~Get Your Files Here !/4. Essential Machine Learning Algorithms/4. Ensemble Learning Boosting and Bagging for Improved Predictions.html 14.1 kB
[磁力链接] 添加时间:2024-02-18 大小:272.3 MB 最近下载:2025-06-15 热度:1820

[Udemy] Python A-Z™ Python For Data Science With Real Exercises! (2021) [En]

  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
  • 6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
  • 5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
  • 4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
  • 4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
  • 6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
  • 4. Matrices/9. Advanced Function Design.mp4 59.5 MB
  • 7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
  • 6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
  • 4. Matrices/8. Creating Your First Function.mp4 50.9 MB
  • 5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
  • 5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
  • 4. Matrices/10. Basketball Insights.mp4 43.5 MB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB
[磁力链接] 添加时间:2024-02-21 大小:2.4 GB 最近下载:2025-06-09 热度:134

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

  • 09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
  • 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
  • 09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
  • 16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
  • 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
  • 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
  • 11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB
[磁力链接] 添加时间:2024-02-25 大小:17.8 GB 最近下载:2025-06-15 热度:1237

GetFreeCourses.Co-Udemy-Machine Learning A-Z™ Python & R in Data Science [2023]

  • 41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
  • 29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
  • 36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
  • 37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
  • 36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
  • 20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
  • 29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
  • 43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
  • 37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
  • 35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
  • 39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
  • 37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
  • 40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
  • 32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
  • 29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
  • 44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
  • 37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
  • 37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
  • 34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
  • 39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB
[磁力链接] 添加时间:2024-02-25 大小:17.4 GB 最近下载:2025-06-15 热度:4988

Machine Learning & Data Science with Python & Kaggle A-Z

  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.6 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/21. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/1. What is Kaggle.mp4 135.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Project.mp4 122.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 120.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/24. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 110.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Examining Statistics of Variables.mp4 95.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/16. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 95.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp4 94.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/29. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 88.2 MB
[磁力链接] 添加时间:2024-02-28 大小:6.9 GB 最近下载:2025-06-15 热度:2977

Udemy Машинное обучение в Python Machine Learning Data Science

  • Раздел 7. Seaborn/61. Scatterplots - Графики рассеяния (диаграммы рассеяния) .mp4 338.3 MB
  • Раздел 5. Pandas/48. Решения для проверочных упражнений по Pandas .mp4 337.2 MB
  • Раздел 23. Иерархическая кластеризация данных/211. Иерархическая кластеризация - Пишем код, часть 2 - Scikit-Learn.mp4 336.7 MB
  • Раздел 1. Вводная часть курса/4. Установка Anaconda, Python, Jupyter Notebook .mp4 333.2 MB
  • Раздел 13. Логистическая регрессия/137. Решения для проверочного проекта по логистической регрессии.mp4 324.8 MB
  • Раздел 5. Pandas/43. Input_Output в Pandas - HTML-таблицы .mp4 311.5 MB
  • Раздел 16. Деревья решений (Decision Trees)/161. Код в Python для деревьев решений - Часть 2 - Модель.mp4 293.3 MB
  • Раздел 11. Конструирование признаков (Feature Engineering)/112. Работа с отсутствующими данными (missing data) - Часть 2 - Работа по строкам.mp4 261.3 MB
  • Раздел 8. Большой Проект по Визуализации Данных/77. Разбор решений проекта - Часть 3.mp4 259.7 MB
  • Раздел 13. Логистическая регрессия/135. Мульти-классовая классификация - Логистическая регрессия - Модель.mp4 249.0 MB
  • Раздел 6. Matplotlib/59. Решения для проверочных упражнений по Matplotlib .mp4 242.6 MB
  • Раздел 10. Линейная регрессия/93. Внедрение модели и интерпретация коэффициентов.mp4 237.3 MB
  • Раздел 7. Seaborn/73. Решения для проверочных упражнений по Seaborn .mp4 232.7 MB
  • Раздел 19. Проверочный проект по моделям обучения с учителем (Supervised Learning)/181. Разбор решений - Часть 1 - Исследование данных (Exploratory Data Analysis).mp4 232.6 MB
  • Раздел 8. Большой Проект по Визуализации Данных/76. Разбор решений проекта - Часть 2.mp4 230.0 MB
  • Раздел 17. Случайные леса (Random Forests)/168. Классификация данных с помощью RandomForestClassifier - Часть 2.mp4 228.3 MB
  • Раздел 8. Большой Проект по Визуализации Данных/74. Обзор Проекта по Визуализации Данных.mp4 228.1 MB
  • Раздел 11. Конструирование признаков (Feature Engineering)/110. Работа с выбросами (outliers).mp4 226.9 MB
  • Раздел 19. Проверочный проект по моделям обучения с учителем (Supervised Learning)/182. Разбор решений - Часть 2 - Анализ оттока (churn analysis).mp4 224.6 MB
  • Раздел 7. Seaborn/67. Categorical Plots - Распределения по категориям - Код в Python .mp4 219.5 MB
[磁力链接] 添加时间:2024-02-29 大小:24.8 GB 最近下载:2025-06-15 热度:486

[FreeCourseSite.com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
  • 05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
  • 13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
  • 17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 19 - Supervised Learning Capstone Project/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
  • 05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
  • 24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
  • 25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 MB
  • 11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
  • 16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.4 MB
  • 23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
  • 19 - Supervised Learning Capstone Project/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
  • 07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
  • 26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
  • 24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
  • 08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
  • 19 - Supervised Learning Capstone Project/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB
[磁力链接] 添加时间:2024-03-01 大小:12.3 GB 最近下载:2025-06-16 热度:1478

[CourseClub.Me] TeamTreeHouse - Track Beginning Data Science

  • 12. Introduction to NumPy/03. Array Programming/01. New Way of Thinking.webm 57.9 MB
  • 12. Introduction to NumPy/02. Array Organization/01. Indexing.webm 51.4 MB
  • 12. Introduction to NumPy/01. Meet NumPy/01. Welcome.webm 48.5 MB
  • 12. Introduction to NumPy/02. Array Organization/02. Boolean Array Indexing.webm 47.6 MB
  • 12. Introduction to NumPy/02. Array Organization/04. Manipulation.webm 45.6 MB
  • 12. Introduction to NumPy/03. Array Programming/02. Universal Functions.webm 45.0 MB
  • 19. Introduction to Big Data/01. What is Big Data/04. Exploring Our New Problems.webm 43.3 MB
  • 13. Introduction to pandas/0. Meet pandas/0.Welcome.webm 41.7 MB
  • 12. Introduction to NumPy/03. Array Programming/04. Plotting.webm 40.6 MB
  • 12. Introduction to NumPy/03. Array Programming/03. Routines in Action.webm 40.3 MB
  • 12. Introduction to NumPy/01. Meet NumPy/03. Introducing Arrays.webm 40.3 MB
  • 17. Scraping Data From the Web/02. A World Full of Spiders/04. The Endless Web.webm 40.2 MB
  • 01. Data Analysis Basics/01. Introducing Data Analysis/04. Getting Good Data is Hard.webm 39.4 MB
  • 02. Python Basics/01. Meet Python/01. Welcome.webm 37.6 MB
  • 14. Preparing Data for Analysis/02. Data Cleaning/01. Cleaning A Spreadsheet.webm 37.1 MB
  • 12. Introduction to NumPy/01. Meet NumPy/05. Multidimensional Arrays.webm 37.0 MB
  • 19. Introduction to Big Data/02. Where and How is Big Data Used/03. Domain Data Storage.webm 36.3 MB
  • 18. Data from APIs/01. Accessing an API with Python.webm 33.9 MB
  • 03. Introducing Lists/01. Meet Lists/04. Indexing.webm 33.1 MB
  • 08. Object-Oriented Python/01. Instant Objects/05. Design.webm 33.1 MB
[磁力链接] 添加时间:2024-03-07 大小:3.8 GB 最近下载:2025-06-14 热度:710


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