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[ FreeCourseWeb.com ] Udemy - Data science for algorithmic trading

  • ~Get Your Files Here !/7. Data science for algorithmic trading/4. Other features selection.mp4 48.1 MB
  • ~Get Your Files Here !/8. Machine Learning for algorithmic trading/2. Preprocessing.mp4 43.9 MB
  • ~Get Your Files Here !/7. Data science for algorithmic trading/2. Variance Features Selection.mp4 41.1 MB
  • ~Get Your Files Here !/8. Machine Learning for algorithmic trading/1. Data import.mp4 40.9 MB
  • ~Get Your Files Here !/5. Statistics Stratégie for algorithmic trading/7. Visualization.mp4 33.1 MB
  • ~Get Your Files Here !/7. Data science for algorithmic trading/3. Correlation features selection.mp4 32.6 MB
  • ~Get Your Files Here !/7. Data science for algorithmic trading/1. Data import.mp4 31.6 MB
  • ~Get Your Files Here !/8. Machine Learning for algorithmic trading/3. Linear SVR.mp4 31.4 MB
  • ~Get Your Files Here !/7. Data science for algorithmic trading/8. Standardization.mp4 29.5 MB
  • ~Get Your Files Here !/7. Data science for algorithmic trading/5. Backtesting all variable.mp4 28.8 MB
  • ~Get Your Files Here !/5. Statistics Stratégie for algorithmic trading/2. Data import.mp4 28.1 MB
  • ~Get Your Files Here !/5. Statistics Stratégie for algorithmic trading/9. Statistics.mp4 26.8 MB
  • ~Get Your Files Here !/3. Python for finance/5. pandas visualization.mp4 25.0 MB
  • ~Get Your Files Here !/5. Statistics Stratégie for algorithmic trading/4. Set of data.mp4 24.1 MB
  • ~Get Your Files Here !/6. Backtesting/2. Initialization.mp4 23.8 MB
  • ~Get Your Files Here !/5. Statistics Stratégie for algorithmic trading/6. trading and prediction.mp4 23.6 MB
  • ~Get Your Files Here !/2. Basics of python/2. list.mp4 22.7 MB
  • ~Get Your Files Here !/6. Backtesting/3. Growth of investment.mp4 22.2 MB
  • ~Get Your Files Here !/3. Python for finance/3. Variation price.mp4 22.0 MB
  • ~Get Your Files Here !/3. Python for finance/2. data import.mp4 21.7 MB
[磁力链接] 添加时间:2022-03-13 大小:931.2 MB 最近下载:2025-05-17 热度:2522

Udemy - R Programming Advanced Analytics In R For Data Science

  • 2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
  • 3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
  • 4. Apply Family of Functions/15. THANK YOU bonus video.mp4 54.8 MB
  • 2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
  • 2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
  • 2. Data Preparation/9. Dealing with Missing Data.mp4 44.6 MB
  • 2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
  • 4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
  • 3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
  • 3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
  • 3. Lists in R/5. R programming What is a List.mp4 37.7 MB
  • 4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
  • 2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
  • 3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
  • 4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
  • 2. Data Preparation/21. Visualizing results.mp4 33.4 MB
  • 2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.4 MB
  • 2. Data Preparation/5. What are Factors (Refresher).mp4 30.6 MB
  • 1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
  • 4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
[磁力链接] 添加时间:2021-03-11 大小:1.4 GB 最近下载:2025-05-17 热度:4581

[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-03-09 大小:2.6 GB 最近下载:2025-05-17 热度:1462

[ DevCourseWeb.com ] Udemy - Data Science Project Planning.zip

  • [ DevCourseWeb.com ] Udemy - Data Science Project Planning.zip 1.4 GB
[磁力链接] 添加时间:2021-04-10 大小:1.4 GB 最近下载:2025-05-17 热度:840

[GigaCourse.Com] Udemy - The R Programming For Data Science A-Z Complete Diploma 2021

  • 15. Module 14 Statistics and Data analysis/2. Statistics 2.mp4 77.6 MB
  • 3. Module 2 Numbers and Math/3. Math operations.mp4 65.3 MB
  • 3. Module 2 Numbers and Math/2. Type conversion.mp4 58.5 MB
  • 3. Module 2 Numbers and Math/1. Type of numbers.mp4 54.7 MB
  • 8. Module 7 DS - Matrices/4. DS - Matrices 4.mp4 52.6 MB
  • 14. Module 13 Functional Programming/5. Functions 5.mp4 48.4 MB
  • 16. Module 15 Data Visualization and Graphics/10. Pie Charts 3.mp4 40.5 MB
  • 14. Module 13 Functional Programming/3. Functions 3.mp4 40.4 MB
  • 6. Module 5 DS - Vectors/5. DS -Vectors 5.mp4 38.7 MB
  • 10. Module 9 DS - Data Frame/4. DS - Data Frame 4.mp4 38.1 MB
  • 11. Module 10 DS - Factors/2. DS - Factors 2.mp4 37.1 MB
  • 1. Module 0 Introduction/3. Downloading and Installing the RStudio IDE.mp4 35.4 MB
  • 13. Module 12 Repetition/6. For loop 3.mp4 35.1 MB
  • 8. Module 7 DS - Matrices/3. DS - Matrices 3.mp4 34.8 MB
  • 7. Module 6 DS - Lists/4. DS - Lists 4.mp4 34.4 MB
  • 7. Module 6 DS - Lists/3. DS - Lists 3.mp4 32.6 MB
  • 15. Module 14 Statistics and Data analysis/3. Statistics 3.mp4 31.7 MB
  • 1. Module 0 Introduction/2. Downloading and Installing R.mp4 30.6 MB
  • 15. Module 14 Statistics and Data analysis/4. Statistics 4.mp4 30.6 MB
  • 6. Module 5 DS - Vectors/4. DS -Vectors 4.mp4 28.9 MB
[磁力链接] 添加时间:2022-01-17 大小:2.1 GB 最近下载:2025-05-17 热度:2725

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
  • 01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
  • 01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
  • 01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 24.4 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data-subtitle-en.srt 24.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 33.7 MB
[磁力链接] 添加时间:2018-02-06 大小:5.9 GB 最近下载:2025-05-17 热度:688

[Udemy] Python Real World Data Science Mega Project Car Buyer App (2020)

  • 6. FINDING MY DREAM CAR/5. 4-05 Application of the Methodology (and the Results!).mp4 355.3 MB
  • 6. FINDING MY DREAM CAR/3. 4-03 Creation of the Carpools I.mp4 282.7 MB
  • 7. THE ADD-ONs/1. 5-01 Refinements of the Methodology.mp4 218.9 MB
  • 7. THE ADD-ONs/2. 5-02 How to run this.mp4 217.9 MB
  • 5. SCRAPE THE THIRD WEBSITE/8. 3-08 Solutions 1-2.mp4 163.8 MB
  • 6. FINDING MY DREAM CAR/4. 4-04 Creation of the Carpools II.mp4 150.6 MB
  • 5. SCRAPE THE THIRD WEBSITE/5. 3-05 flip_pages Function.mp4 150.2 MB
  • 5. SCRAPE THE THIRD WEBSITE/4. 3-04 Parse Function.mp4 148.8 MB
  • 3. SCRAPE THE FIRST WEBSITE/5. 1-05 Spider Response Validation.mp4 147.4 MB
  • 4. SCRAPE THE SECOND WEBSITE/5. 2-05 Parse Function I.mp4 119.6 MB
  • 5. SCRAPE THE THIRD WEBSITE/1. 3-01 Site Investigation I.mp4 113.1 MB
  • 4. SCRAPE THE SECOND WEBSITE/4. 2-04 Locating Data.mp4 100.6 MB
  • 4. SCRAPE THE SECOND WEBSITE/8. 2-08 flip_pages Function I.mp4 99.0 MB
  • 4. SCRAPE THE SECOND WEBSITE/10. 2-10 Error Analysis.mp4 90.2 MB
  • 5. SCRAPE THE THIRD WEBSITE/9. 3-09 Solution 3.mp4 86.2 MB
  • 3. SCRAPE THE FIRST WEBSITE/8. 1-08 Spider Parse Function III.mp4 85.5 MB
  • 4. SCRAPE THE SECOND WEBSITE/7. 2-07 start_requests Function.mp4 84.5 MB
  • 3. SCRAPE THE FIRST WEBSITE/6. 1-06 Spider Parse Function I.mp4 80.5 MB
  • 3. SCRAPE THE FIRST WEBSITE/15. 1-15 Solutions 1-2.mp4 80.3 MB
  • 4. SCRAPE THE SECOND WEBSITE/1. 2-01 First Thoughts.mp4 79.9 MB
[磁力链接] 添加时间:2021-04-01 大小:4.5 GB 最近下载:2025-05-17 热度:1387

[GigaCourse.Com] Udemy - Data Science in R Be an Expert in Regression Analysis in R

  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
  • 05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
  • 05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
  • 02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
  • 05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
  • 02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB
[磁力链接] 添加时间:2022-03-12 大小:1.6 GB 最近下载:2025-05-17 热度:1615

[FreeCourseSite.com] Udemy - Data science ,Analytics & AI Real world Project using Python

  • 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4 137.9 MB
  • 9. NLP (Natural Language Processing )/5. Lecture 35.mp4 131.1 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4 130.2 MB
  • 9. NLP (Natural Language Processing )/4. Lecture 34.mp4 129.4 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4 117.9 MB
  • 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4 116.2 MB
  • 10. Machine Learning/1. Lecture 36.mp4 115.0 MB
  • 6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4 114.8 MB
  • 8. Advance Data Analysis/1. Lecture 28.mp4 114.3 MB
  • 8. Advance Data Analysis/3. Lecture 30.mp4 113.2 MB
  • 11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4 111.8 MB
  • 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4 107.9 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4 107.3 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp4 104.4 MB
  • 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp4 100.6 MB
  • 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp4 99.3 MB
  • 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp4 97.1 MB
  • 11. Hypertuning of Machine Learning Model/1. Lecture 37.mp4 92.5 MB
  • 9. NLP (Natural Language Processing )/3. Lecture 33.mp4 91.7 MB
  • 4. Feature Extraction for Data Science/2. Finding Length of questions.mp4 90.7 MB
[磁力链接] 添加时间:2022-04-01 大小:3.6 GB 最近下载:2025-05-17 热度:848

Kurs Data Science Bootcamp w j陑yku Python - od A do Z (UDEMY).part3.rar

  • Kurs Data Science Bootcamp w j陑yku Python - od A do Z (UDEMY).part3.rar 384.7 MB
[磁力链接] 添加时间:2022-01-21 大小:384.7 MB 最近下载:2025-05-17 热度:540

[Tutorialsplanet.NET] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
  • 3/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 2/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
  • 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
  • 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
  • 35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 35/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
[磁力链接] 添加时间:2022-01-19 大小:16.3 GB 最近下载:2025-05-17 热度:541

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

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2022-02-26 大小:18.4 GB 最近下载:2025-05-17 热度:1321

[ FreeCourseWeb.com ] Udemy - Docker Masterclass for Machine Learning and Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Docker Masterclass for Machine Learning and Data Science.zip 1.3 GB
[磁力链接] 添加时间:2021-03-13 大小:1.3 GB 最近下载:2025-05-17 热度:1404

[FreeCourseSite.com] Udemy - Data Science for Business Financial Sectors

  • 1. Introduction/1. Introduction.mp4 20.6 MB
  • 1. Introduction/1. Introduction.vtt 1.5 kB
  • 2. Data Science for Business Economics & Finance/1. Data Science and Money.mp4 93.6 MB
  • 2. Data Science for Business Economics & Finance/1. Data Science and Money.vtt 12.0 kB
  • 2. Data Science for Business Economics & Finance/2. Algorithmic & Human-In-the-Loop Trading.mp4 71.0 MB
  • 2. Data Science for Business Economics & Finance/2. Algorithmic & Human-In-the-Loop Trading.vtt 9.0 kB
  • 2. Data Science for Business Economics & Finance/3. Automated Application Reviews For Loans & Credit.mp4 70.0 MB
  • 2. Data Science for Business Economics & Finance/3. Automated Application Reviews For Loans & Credit.vtt 8.2 kB
  • 2. Data Science for Business Economics & Finance/4. Real-Time Fraud Detection.mp4 63.9 MB
  • 2. Data Science for Business Economics & Finance/4. Real-Time Fraud Detection.vtt 7.5 kB
  • 2. Data Science for Business Economics & Finance/5. Social Media and Economics.mp4 82.4 MB
  • 2. Data Science for Business Economics & Finance/5. Social Media and Economics.vtt 9.0 kB
  • 2. Data Science for Business Economics & Finance/6. Data Science and Cryptocurrencies.mp4 66.0 MB
  • 2. Data Science for Business Economics & Finance/6. Data Science and Cryptocurrencies.vtt 7.4 kB
  • 2. Data Science for Business Economics & Finance/7. Correlation & Causality in Economic Data.mp4 70.6 MB
  • 2. Data Science for Business Economics & Finance/7. Correlation & Causality in Economic Data.vtt 8.2 kB
  • 2. Data Science for Business Economics & Finance/8. Ethical and Technical Challenges.mp4 33.4 MB
  • 2. Data Science for Business Economics & Finance/8. Ethical and Technical Challenges.vtt 4.2 kB
  • 3. Conclusion/1. Final Conclusion.mp4 12.1 MB
  • 3. Conclusion/1. Final Conclusion.vtt 1.5 kB
[磁力链接] 添加时间:2018-10-08 大小:583.6 MB 最近下载:2025-05-17 热度:1214

[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
[磁力链接] 添加时间:2021-04-02 大小:5.5 GB 最近下载:2025-05-17 热度:540

[ TutGee.com ] Udemy - Learn Data Science - Full Course for Beginners

  • ~Get Your Files Here !/1. Introduction/2. Introduction.mp4 794.8 MB
  • ~Get Your Files Here !/3. Coding/1. Coding.mp4 640.5 MB
  • ~Get Your Files Here !/5. Statistics/1. Statistics.mp4 473.6 MB
  • ~Get Your Files Here !/2. Data Sourcing/1. Part 2 Data Sourcing.mp4 383.8 MB
  • ~Get Your Files Here !/4. Mathematics/1. Mathematics.mp4 237.5 MB
  • ~Get Your Files Here !/1. Introduction/1. Course Overview.mp4 20.4 MB
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • Get Bonus Downloads Here.url 176 Bytes
[磁力链接] 添加时间:2025-02-09 大小:2.6 GB 最近下载:2025-05-17 热度:87

[FreeCourseWorld.Com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-03-18 大小:2.6 GB 最近下载:2025-05-17 热度:259

[GigaCourse.Com] Udemy - Data Science Masterclass 2021 Build 30 Real World Projects

  • 16. Project-15 Cats Vs Dogs Image Classification App/2. Creating Project Notebook.mp4 256.2 MB
  • 18. Project-17 Gender From Voice Prediction/2. Creating Project Notebook.mp4 254.7 MB
  • 19. Project-18 Restaurant Recommendation System/4. Data Analysis 2.mp4 254.6 MB
  • 20. Project-19 Check Happiness Ranking Using Machine Learning/2. Project Notebook.mp4 252.2 MB
  • 13. Project-12 Attrition Rate Django App/2. Creating Colab Notebook.mp4 224.2 MB
  • 21. Project-20 Predicting Forest Fire - Machine Learning/2. Project Notebook.mp4 217.2 MB
  • 17. Project-16 Customer Revenue Prediction/2. Colab Notebook.mp4 211.5 MB
  • 21. Project-20 Predicting Forest Fire - Machine Learning/6.1 Forest Fires App -Code.zip 196.6 MB
  • 16. Project-15 Cats Vs Dogs Image Classification App/6.1 Cats Vs Dogs App Code.zip 189.4 MB
  • 14. Project-13 Project To Find Legendary Pokemon/2. Creating Colab Notebook.mp4 185.8 MB
  • 30. Project-29 Customer Churning Prediction/3. data visualization.mp4 168.3 MB
  • 30. Project-29 Customer Churning Prediction/4. Model building.mp4 154.4 MB
  • 12. Project-11 Sentiment Analysis Using Logistic Regression/2. Project Notebook Google Colab.mp4 147.7 MB
  • 20. Project-19 Check Happiness Ranking Using Machine Learning/3. Creating Django App.mp4 145.1 MB
  • 29. Project-28 Covid-19 Case Analysis/4. Data Analysis part2.mp4 141.5 MB
  • 9. Project-8 Create A Face Swapping Application/3. Data preprocessing and creating output.mp4 133.7 MB
  • 28. Project-27 Air Quality Prediction/6. Model building part1.mp4 129.4 MB
  • 29. Project-28 Covid-19 Case Analysis/2. data preprocessing.mp4 124.9 MB
  • 17. Project-16 Customer Revenue Prediction/3. Creating Flask App.mp4 123.7 MB
  • 21. Project-20 Predicting Forest Fire - Machine Learning/4. Creating Django App.mp4 122.8 MB
[磁力链接] 添加时间:2022-01-14 大小:11.7 GB 最近下载:2025-05-17 热度:1550

[ FreeCourseWeb.com ] Udemy - R for Data Science- Learn Data Manipulation With R.zip

  • [ FreeCourseWeb.com ] Udemy - R for Data Science- Learn Data Manipulation With R.zip 2.5 GB
[磁力链接] 添加时间:2022-03-15 大小:2.5 GB 最近下载:2025-05-17 热度:142

[ FreeCourseWeb.com ] Udemy - 250 + Exercises - Data Science Bootcamp in Python.zip

  • [ FreeCourseWeb.com ] Udemy - 250 + Exercises - Data Science Bootcamp in Python.zip 210.9 MB
[磁力链接] 添加时间:2021-06-09 大小:210.9 MB 最近下载:2025-05-17 热度:1064


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