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Data Science Made Easy Hands-On Analytics with No-Code Software Tool KNIME

  • Lesson 1 Data Science Overview/005. 1.4 AIML Evolution.mp4 102.2 MB
  • Lesson 3 ML Model Development with KNIME/002. 3.1 Data Ingestion and Preparation Part 1.mp4 98.0 MB
  • Lesson 1 Data Science Overview/003. 1.2 Data Science Process.mp4 95.3 MB
  • Lesson 2 Data Science Tools/003. 2.2 Introduction to KNIME AP.mp4 91.6 MB
  • Lesson 2 Data Science Tools/006. 2.5 KNIME Demo with Iris Dataset Part 2.mp4 88.5 MB
  • Lesson 4 Best Practices in Data Science and AIML/005. 4.4 Model Explainability (XAI).mp4 84.4 MB
  • Lesson 4 Best Practices in Data Science and AIML/002. 4.1 Data Balancing for Class Imbalance Problem.mp4 83.1 MB
  • Lesson 2 Data Science Tools/002. 2.1 Tool Landscape.mp4 79.7 MB
  • Lesson 5 Text Analytics/004. 5.3 TM Applications Sentiment Analysis.mp4 79.2 MB
  • Lesson 1 Data Science Overview/002. 1.1 Definition, Terminology, and a Simple Taxonomy.mp4 74.1 MB
  • Lesson 1 Data Science Overview/004. 1.3 Data Science Methods and Algorithms.mp4 72.2 MB
  • Lesson 4 Best Practices in Data Science and AIML/004. 4.3 Model Ensembles (with Bagging & Boosting).mp4 64.9 MB
  • Lesson 5 Text Analytics/003. 5.2 Text Mining Process.mp4 58.1 MB
  • Lesson 3 ML Model Development with KNIME/003. 3.2 Data Ingestion and Preparation Part 2.mp4 54.7 MB
  • Lesson 5 Text Analytics/005. 5.4 TM Applications Topic Modeling.mp4 52.0 MB
  • Lesson 4 Best Practices in Data Science and AIML/003. 4.2 Cross Validation for Bias-Variance Tradeoff.mp4 50.8 MB
  • Lesson 2 Data Science Tools/005. 2.4 KNIME Demo with Iris Dataset Part 1.mp4 43.0 MB
  • Lesson 3 ML Model Development with KNIME/004. 3.3 ML Model Building and Testing.mp4 42.4 MB
  • Lesson 5 Text Analytics/002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).mp4 35.1 MB
  • Lesson 3 ML Model Development with KNIME/005. 3.4 Comparative Assessment.mp4 30.8 MB
[磁力链接] 添加时间:2025-04-02 大小:1.5 GB 最近下载:2025-05-31 热度:1150

Boland M. Health Analytics with R. Learning Data Science Using Examples...2024

  • Boland M. Health Analytics with R. Learning Data Science Using Examples...2024.pdf 106.2 MB
[磁力链接] 添加时间:2025-01-16 大小:106.2 MB 最近下载:2025-05-31 热度:2213

[GigaCourse.Com] Udemy - Build 30 Real World Data Science & Machine Learning Projects

  • 4. Project-2 Costa Rican household poverty prediction/2. Data preprocessing and feature engineering.mp4 217.3 MB
  • 11. Project-9 Apparent temperature prediction/3. Model building part1.mp4 208.1 MB
  • 6. Project-4 Car price prediction/3. Creating and hypertunning model.mp4 198.1 MB
  • 22. Project-20 Vaccination for justified user system using NLP/2. Importing data and libraries.mp4 192.1 MB
  • 19. Project-17 Amazon Alexa Review system/2. Importing libraries and data.mp4 184.5 MB
  • 10. Project-8 Predicting Hotel Booking/2. Data preprocessing, EDA.mp4 184.2 MB
  • 4. Project-2 Costa Rican household poverty prediction/3. Creating models.mp4 159.6 MB
  • 9. Project-7 Predicting employee attrition/3. Feature selection and model building.mp4 158.0 MB
  • 21. Project-19 IMDB Movie Review system/3. Data Visualization.mp4 154.0 MB
  • 12. Project-10 Consumer Complaint classification/3. Model building.mp4 150.2 MB
  • 8. Project-6 Loan Prediction Analysis/4. Hypertuning models.mp4 149.4 MB
  • 19. Project-17 Amazon Alexa Review system/3. EDA.mp4 145.2 MB
  • 22. Project-20 Vaccination for justified user system using NLP/3. data preprocessing.mp4 143.9 MB
  • 28. Project-26 E-signing of loan based on financial history/5. feature engineering.mp4 143.1 MB
  • 3. Project-1 Image Caption Bot/6.1 Image caption Code and Model Files.zip 141.7 MB
  • 29. Project-27 Mutual fund project/5. Understanding various parameters.mp4 140.0 MB
  • 22. Project-20 Vaccination for justified user system using NLP/4. data visualization.mp4 138.8 MB
  • 28. Project-26 E-signing of loan based on financial history/2. loading data and EDA.mp4 137.2 MB
  • 26. Project-24 Mortality prediction in ICU using ANN/5. model building.mp4 135.1 MB
  • 23. Project-21 Blood donation analysis/4. model building.mp4 133.9 MB
[磁力链接] 添加时间:2022-03-30 大小:11.7 GB 最近下载:2025-05-31 热度:2541

[GigaCourse.com] Udemy - R Programming Advanced Analytics In R For Data Science

  • 02 Data Preparation/020 Replacing Missing Data Median Imputation Method (Part 1).mp4 65.0 MB
  • 03 Lists in R/027 Project Brief Machine Utilization.mp4 64.8 MB
  • 02 Data Preparation/006 Updates on Udemy Reviews.mp4 61.2 MB
  • 02 Data Preparation/014 An Elegant Way To Locate Missing Data.mp4 59.8 MB
  • 04 Apply Family of Functions/050 THANK YOU bonus video.mp4 54.8 MB
  • 03 Lists in R/029 Handling Date-Times in R.mp4 52.5 MB
  • 04 Apply Family of Functions/037 Welcome to this section. This is what you will learn.mp4 51.9 MB
  • 04 Apply Family of Functions/043 Using lapply().mp4 51.0 MB
  • 02 Data Preparation/004 Welcome to this section. This is what you will learn.mp4 50.1 MB
  • 01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 48.4 MB
  • 03 Lists in R/035 Creating A Timeseries Plot.mp4 48.1 MB
  • 02 Data Preparation/012 Dealing with Missing Data.mp4 47.8 MB
  • 03 Lists in R/030 R programming What is a List.mp4 46.9 MB
  • 02 Data Preparation/011 gsub() and sub().mp4 46.1 MB
  • 02 Data Preparation/018 Reseting the dataframe index.mp4 46.0 MB
  • 04 Apply Family of Functions/046 Using sapply().mp4 45.7 MB
  • 04 Apply Family of Functions/048 which.max() and which.min() (advanced topic).mp4 42.4 MB
  • 02 Data Preparation/024 Visualizing results.mp4 42.0 MB
  • 03 Lists in R/033 Adding and deleting components.mp4 40.3 MB
  • 02 Data Preparation/008 What are Factors (Refresher).mp4 39.4 MB
[磁力链接] 添加时间:2021-03-07 大小:1.7 GB 最近下载:2025-05-31 热度:1267

[FreeCourseSite.com] Udemy - Ultimate Data Science Bootcamp Build 50 Real Time Projects

  • 21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4 315.7 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4 256.2 MB
  • 28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4 254.7 MB
  • 29. Project-28 Restaurant Recommendation System/4. Data Analysis 2 - Model Building.mp4 254.6 MB
  • 30. Project-29 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4 252.1 MB
  • 23. Project-22 Attrition Rate Django Application/2. Creating Colab Notebook.mp4 224.2 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4 217.3 MB
  • 27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4 211.4 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/6.1 Forest Fires App -Code.zip 196.6 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/6.1 Cats Vs Dogs App Code.zip 189.4 MB
  • 24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4 185.8 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4 179.2 MB
  • 16. Project-15 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4 173.6 MB
  • 20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on GCP.mp4 173.3 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4 163.6 MB
  • 15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4 162.8 MB
  • 37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4 162.1 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4 160.3 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4 160.0 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4 155.1 MB
[磁力链接] 添加时间:2022-03-08 大小:24.7 GB 最近下载:2025-05-31 热度:3059

Machine Learning with Python Data Science for Beginners

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Machine Learning with Python Data Science for Beginners.zip 1.1 GB
[磁力链接] 添加时间:2018-05-13 大小:1.1 GB 最近下载:2025-05-31 热度:17977

[ FreeCourseWeb.com ] Lynda - Future Proofing Your Data Science Career.zip

  • [ FreeCourseWeb.com ] Lynda - Future Proofing Your Data Science Career.zip 500.2 MB
[磁力链接] 添加时间:2022-01-31 大小:500.2 MB 最近下载:2025-05-31 热度:609

Lynda - Data Science Foundations: Data Mining

  • 053 Text mining in RapidMiner.mp4 21.0 MB
  • 028 Anomaly detection in Python.mp4 11.6 MB
  • 048 Sequence mining in BigML - Part 2.mp4 10.3 MB
  • 045 Sequence mining in R.mp4 14.0 MB
  • 034 Association analysis in Python.mp4 5.5 MB
  • 044 Sequence mining algorithms.mp4 7.6 MB
  • 019 Classification goals.mp4 6.6 MB
  • 032 Association analysis data.mp4 6.5 MB
  • 006 Software prerequisites.mp4 12.3 MB
  • 042 Regression analysis in RapidMiner.mp4 10.7 MB
  • 024 Classification in KNIME.mp4 16.8 MB
  • 046 Sequence mining in Python.mp4 10.4 MB
  • 007 Goals of data reduction.mp4 10.4 MB
  • 038 Regression analysis data.mp4 6.9 MB
  • 049 Text mining goals.mp4 5.3 MB
  • 004 Data mining prerequisites.mp4 6.0 MB
  • 031 Association analysis goals.mp4 10.6 MB
  • 050 Text mining algorithms.mp4 5.2 MB
  • 018 Clustering in Orange.mp4 15.6 MB
  • 037 Regression analysis goals.mp4 5.7 MB
[磁力链接] 添加时间:2017-02-08 大小:658.3 MB 最近下载:2025-05-31 热度:3584

Introduction to Machine Learning for Data Science

  • Introduction to Machine Learning for Data Science/3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 270.2 MB
  • Introduction to Machine Learning for Data Science/1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp4 231.6 MB
  • Introduction to Machine Learning for Data Science/1. Introduction/4. Course Overview.mp4 127.4 MB
  • Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
  • Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
  • Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
  • Introduction to Machine Learning for Data Science/13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
  • Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
  • Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 100.9 MB
  • Introduction to Machine Learning for Data Science/9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
  • Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
  • Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
  • Introduction to Machine Learning for Data Science/2. Core Concepts/9. What is Artificial Intelligence (AI).mp4 94.9 MB
  • Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
  • Introduction to Machine Learning for Data Science/2. Core Concepts/3. What's Data I can see data everywhere!.mp4 88.6 MB
  • Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
  • Introduction to Machine Learning for Data Science/4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp4 82.3 MB
  • Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
  • Introduction to Machine Learning for Data Science/4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp4 80.9 MB
  • Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
[磁力链接] 添加时间:2021-04-14 大小:3.8 GB 最近下载:2025-05-31 热度:1413

Data Science Skillpath SQL, Looker Studio, ML and Alteryx

  • Chapter_19-Window_Functions/89. Implementing Row number in SQL.mp4.mp4 117.0 MB
  • Chapter_48-Linear_Regression/198. Ridge regression and Lasso in Python.mp4.mp4 115.2 MB
  • Chapter_71-Merging_tables_to_create_a_datamart/286. The Joining Tool - Adding customer and Product data to Sales table.mp4.mp4 93.8 MB
  • Chapter_46-Introduction_to_Machine_Learning/163. Introduction to Machine Learning.mp4.mp4 82.4 MB
  • Chapter_47-Data_Preprocessing/176. Bi-variate analysis and Variable transformation.mp4.mp4 74.5 MB
  • Chapter_55-Simple_Classification_Tree/239. Classification tree in Python Training.mp4.mp4 68.3 MB
  • Chapter_57-Ensemble_technique_2_Random_Forests/245. Using Grid Search in Python.mp4.mp4 66.9 MB
  • Chapter_48-Linear_Regression/185. Assessing accuracy of predicted coefficients.mp4.mp4 65.8 MB
  • Chapter_54-Simple_Decision_Trees/235. Pruning a tree in Python.mp4.mp4 64.6 MB
  • Chapter_47-Data_Preprocessing/172. Outlier Treatment in Python.mp4.mp4 64.5 MB
  • Chapter_58-Ensemble_technique_3_Boosting/249. Ensemble technique 3c - XGBoost in Python.mp4.mp4 62.2 MB
  • Chapter_19-Window_Functions/94. SUM TOTAL.mp4.mp4 61.5 MB
  • Chapter_56-Ensemble_technique_1_Bagging/242. Ensemble technique 1 - Bagging in Python.mp4.mp4 61.4 MB
  • Chapter_48-Linear_Regression/187. Simple Linear Regression in Python.mp4.mp4 60.8 MB
  • Chapter_27-Charts_to_highlight_numbers/116. Styling tab for data table.mp4.mp4 60.6 MB
  • Chapter_48-Linear_Regression/191. Multiple Linear Regression in Python.mp4.mp4 60.6 MB
  • Chapter_48-Linear_Regression/196. Subset selection techniques.mp4.mp4 59.3 MB
  • Chapter_26-Practical_part_begins_here/111. Opening Looker Studio and Preparing the Data.mp4.mp4 58.7 MB
  • Chapter_9-Group_by_Commands/41. GROUP BY.mp4.mp4 58.5 MB
  • Chapter_66-Data_Cleansing_and_Improving_data_quality/270. Autofield and Select Tool - For controlling Field order and data type.mp4.mp4 58.4 MB
[磁力链接] 添加时间:2024-06-05 大小:8.6 GB 最近下载:2025-05-31 热度:2817

[Tutorialsplanet.NET] Udemy - Probability and Statistics for Business and Data Science

  • 4/6. Poisson Distribution.mp4 101.8 MB
  • 4/10. Normal Distribution - Formulas and Z Scores.mp4 84.5 MB
  • 5. Statistics/2. Sampling.mp4 78.0 MB
  • 5. Statistics/13. Student's T Distribution Example Exercise.mp4 73.0 MB
  • 5. Statistics/6. Hypothesis Testing.mp4 69.6 MB
  • 3/12. Bayes Theorem.mp4 67.0 MB
  • 2/2. Measuring Data.mp4 63.3 MB
  • 4/4. Binomial Distribution.mp4 63.0 MB
  • 7. Regression/1. Linear Regression.mp4 61.4 MB
  • 5. Statistics/12. Student's T Distribution.mp4 59.2 MB
  • 7. Regression/3. Multiple Regression.mp4 58.5 MB
  • 6. Analysis of Variance (ANOVA)/6. Two Way ANOVA with Replication.mp4 55.5 MB
  • 2/10. Bi-variate Data and Covariance.mp4 52.6 MB
  • 6. Analysis of Variance (ANOVA)/4. Two Way ANOVA Overview.mp4 52.3 MB
  • 2/1. What is Data.mp4 49.6 MB
  • 8. Chi-Square Analysis/1. Chi-Square Analysis.mp4 48.6 MB
  • 5. Statistics/5. Standard Error.mp4 48.4 MB
  • 6. Analysis of Variance (ANOVA)/2. ANOVA - Analysis of Variance.mp4 44.9 MB
  • 3/2. Permutations.mp4 42.8 MB
  • 8. Chi-Square Analysis/2. Chi Squared Analysis - Exercise Example.mp4 40.7 MB
[磁力链接] 添加时间:2022-03-19 大小:1.9 GB 最近下载:2025-05-31 热度:808

GetFreeCourses.Co-Udemy-Machine Learning & Data Science Foundations Masterclass.zip

  • GetFreeCourses.Co-Udemy-Machine Learning & Data Science Foundations Masterclass.zip 1.1 GB
[磁力链接] 添加时间:2021-03-07 大小:1.1 GB 最近下载:2025-05-31 热度:1681

Data Science A-Z™ Real-Life Data Science Exercises Included

  • Data Science A-Z™ Real-Life Data Science Exercises Included.zip 6.0 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2022-02-21 大小:6.0 GB 最近下载:2025-05-31 热度:1187

Udemy - Data Science Mastery Complete Data Science Bootcamp 2025

  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/101 - Day 6 SequencetoSequence Models and Applications.mp4 678.3 MB
  • 6 - Week 5 Introduction to Machine Learning/50 - Day 3 Advanced Regression Models Polynomial Regression and Regularization.mp4 516.8 MB
  • 2 - Week 1 Python Programming Basics/22 - Day 7 Pythonic Code and Project Work.mp4 505.3 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/94 - Day 7 CNN Project Image Classification on Fashion MNIST or CIFAR10.mp4 430.2 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/85 - Day 6 Building Neural Networks with PyTorch.mp4 409.5 MB
  • 9 - Week 8 Model Tuning and Optimization/74 - Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 407.4 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/96 - Day 1 Introduction to Sequence Modeling and RNNs.mp4 395.6 MB
  • 5 - Week 4 Probability and Statistics for Machine Learning/46 - Day 7 Statistical Analysis Project Analyzing RealWorld Data.mp4 350.9 MB
  • 11 - Week 10 Convolutional Neural Networks CNNs/88 - Day 1 Introduction to Convolutional Neural Networks.mp4 345.3 MB
  • 3 - Week 2 Data Science Essentials/29 - Day 6 Data Visualization with Matplotlib and Seaborn.mp4 331.8 MB
  • 12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/97 - Day 2 Understanding RNN Architecture and Backpropagation Through Time BPTT.mp4 313.3 MB
  • 10 - Week 9 Neural Networks and Deep Learning Fundamentals/83 - Day 4 Gradient Descent and Optimization Techniques.mp4 303.5 MB
  • 4 - Week 3 Mathematics for Machine Learning/36 - Day 5 Probability Theory and Distributions.mp4 296.2 MB
  • 9 - Week 8 Model Tuning and Optimization/77 - Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 287.9 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/106 - Day 3 SelfAttention and MultiHead Attention in Transformers.mp4 284.1 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/109 - Day 6 Advanced Transformers BERT Variants and GPT3.mp4 282.3 MB
  • 14 - Week 13 Transfer Learning and FineTuning/113 - Day 2 Transfer Learning in Computer Vision.mp4 278.7 MB
  • 13 - Week 12 Transformers and Attention Mechanisms/108 - Day 5 HandsOn with PreTrained Transformers BERT and GPT.mp4 276.4 MB
  • 3 - Week 2 Data Science Essentials/30 - Day 7 Exploratory Data Analysis EDA Project.mp4 274.3 MB
  • 8 - Week 7 Advanced Machine Learning Algorithms/68 - Day 5 LightGBM and CatBoost.mp4 271.3 MB
[磁力链接] 添加时间:2025-03-20 大小:25.4 GB 最近下载:2025-05-31 热度:826

[Udemy] The Data Science Course 2020 Complete Data Science Bootcamp (2021) [En]

  • 16 Statistics - Practical Example_ Descriptive Statistics/093 Practical Example_ Descriptive Statistics.mp4 168.2 MB
  • 12 Probability - Distributions/066 A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11 Probability - Bayesian Inference/051 A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40 Part 6_ Mathematics/282 Why is Linear Algebra Useful_.mp4 151.3 MB
  • 05 The Field of Data Science - Popular Data Science Techniques/011 Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10 Probability - Combinatorics/039 A Practical Example of Combinatorics.mp4 140.8 MB
  • 03 The Field of Data Science - Connecting the Data Science Disciplines/009 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 05 The Field of Data Science - Popular Data Science Techniques/020 Types of Machine Learning.mp4 131.2 MB
  • 56 Software Integration/405 Taking a Closer Look at APIs.mp4 121.2 MB
  • 05 The Field of Data Science - Popular Data Science Techniques/017 Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 02 The Field of Data Science - The Various Data Science Disciplines/007 Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56 Software Integration/404 What are Data Connectivity, APIs, and Endpoints_.mp4 109.1 MB
  • 06 The Field of Data Science - Popular Data Science Tools/022 Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
  • 55 Appendix_ Deep Learning - TensorFlow 1_ Business Case/394 Business Case_ Preprocessing.mp4 108.4 MB
  • 19 Statistics - Practical Example_ Inferential Statistics/118 Practical Example_ Inferential Statistics.mp4 107.6 MB
  • 05 The Field of Data Science - Popular Data Science Techniques/019 Machine Learning (ML) Techniques.mp4 104.1 MB
  • 13 Probability - Probability in Other Fields/067 Probability in Finance.mp4 103.9 MB
  • 35 Advanced Statistical Methods - Practical Example_ Linear Regression/225 Practical Example_ Linear Regression (Part 1).mp4 101.8 MB
  • 20 Statistics - Hypothesis Testing/120 Null vs Alternative Hypothesis.mp4 96.5 MB
  • 05 The Field of Data Science - Popular Data Science Techniques/015 Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2021-03-10 大小:16.4 GB 最近下载:2025-05-31 热度:2294

Saeed F. Recent Trends in Data Science and Soft Computing 2019

  • Saeed F. Recent Trends in Data Science and Soft Computing 2019.pdf 111.2 MB
[磁力链接] 添加时间:2021-03-07 大小:111.2 MB 最近下载:2025-05-31 热度:802

[CourseClub.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:2023-12-20 大小:1.8 GB 最近下载:2025-05-31 热度:1712

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip

  • [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip 4.1 GB
[磁力链接] 添加时间:2021-03-18 大小:4.1 GB 最近下载:2025-05-31 热度:1157

[ FreeCourseWeb.com ] Python Numpy For Data Science (2025)

  • ~Get Your Files Here !/7 - Linear Algebra/1 -Major Ideas from Linear Algebra.mp4 118.6 MB
  • ~Get Your Files Here !/2 - Numpy Arrays/1 -Numpy Arrays and Manipulation.mp4 111.2 MB
  • ~Get Your Files Here !/2 - Numpy Arrays/2 -Array Indexing and Slicing.mp4 104.1 MB
  • ~Get Your Files Here !/4 - Vectorized Operations/1 -Vectorized Operations.mp4 97.2 MB
  • ~Get Your Files Here !/11 - Numpy and its use in Machine Learning and Data Science/1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 83.0 MB
  • ~Get Your Files Here !/8 - Sequences and Random Number Generation/1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 82.9 MB
  • ~Get Your Files Here !/3 - Numpy Dates and Set Operations/1 -Numpy Dates and Set Operations.mp4 57.8 MB
  • ~Get Your Files Here !/5 - Inferential Statistics and Universal Functions/1 -Inferential Statistics and Universal Functions.mp4 53.6 MB
  • ~Get Your Files Here !/4 - Vectorized Operations/2 -Vectorized Operations Continued.mp4 50.5 MB
  • ~Get Your Files Here !/9 - Working with Missing Data/1 -Dealing with missing values and basic imputation techniques.mp4 47.0 MB
  • ~Get Your Files Here !/10 - Visualizations/1 -Plotting with Numpy.mp4 32.0 MB
  • ~Get Your Files Here !/6 - Performance Optimization/1 -Performance Optimization For loops vs Vectorization.mp4 28.0 MB
  • ~Get Your Files Here !/2 - Numpy Arrays/3 -Comparing Numpy Arrays and Numpy Special Values.mp4 21.3 MB
  • ~Get Your Files Here !/1 - Introduction/1 -Introduction.mp4 10.3 MB
  • ~Get Your Files Here !/1 - Introduction/1 -Course_Python_Numpy_For_Data_Science.ipynb 917.0 kB
  • Get Bonus Downloads Here.url 183 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes
[磁力链接] 添加时间:2025-05-10 大小:898.3 MB 最近下载:2025-05-31 热度:443

[ DevCourseWeb.com ] Udemy - Data Science - Build, Train and Test A Machine Learning Model

  • ~Get Your Files Here !/3 - Exploratory Data Analysis EDA/5 - Exploring the data using Seaborn and Pandas Libraries.mp4 109.2 MB
  • ~Get Your Files Here !/4 - Building and Training Machine Learning Model/6 - Build and Train Machine Learning Model.mp4 62.9 MB
  • ~Get Your Files Here !/2 - Importing Libraries and Dataset/4 - Cleaning the Data.mp4 38.9 MB
  • ~Get Your Files Here !/5 - Model Testing and Evaluation/7 - Testing & Evaluating the Performance of the Model.mp4 28.9 MB
  • ~Get Your Files Here !/1 - Introduction/2 - Introduction to Libraries Linear Regression Algorithm and Colab Platform.mp4 27.8 MB
  • ~Get Your Files Here !/1 - Introduction/1 - Project Overview and Introduction to the Dataset.mp4 26.1 MB
  • ~Get Your Files Here !/2 - Importing Libraries and Dataset/3 - Importing all the necessary Libraries and Dataset into the Colab environment.mp4 23.5 MB
  • ~Get Your Files Here !/2 - Importing Libraries and Dataset/3 - Admission-Predict-Ver1.1.csv 16.2 kB
  • ~Get Your Files Here !/3 - Exploratory Data Analysis EDA/5 - Exploring the data using Seaborn and Pandas Libraries English.srt 13.5 kB
  • ~Get Your Files Here !/1 - Introduction/1 - Project Overview and Introduction to the Dataset English.srt 8.9 kB
  • ~Get Your Files Here !/4 - Building and Training Machine Learning Model/6 - Build and Train Machine Learning Model English.srt 7.8 kB
  • ~Get Your Files Here !/1 - Introduction/2 - Introduction to Libraries Linear Regression Algorithm and Colab Platform English.srt 6.6 kB
  • ~Get Your Files Here !/2 - Importing Libraries and Dataset/4 - Cleaning the Data English.srt 5.3 kB
  • ~Get Your Files Here !/5 - Model Testing and Evaluation/7 - Testing & Evaluating the Performance of the Model English.srt 4.3 kB
  • ~Get Your Files Here !/2 - Importing Libraries and Dataset/3 - Importing all the necessary Libraries and Dataset into the Colab environment English.srt 3.8 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
  • ~Get Your Files Here !/5 - Model Testing and Evaluation/7 - Google Colab Notebook Code.txt 85 Bytes
[磁力链接] 添加时间:2024-01-20 大小:317.4 MB 最近下载:2025-05-31 热度:1746


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