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GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. 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/22. 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/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. 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/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2021-03-22 大小:5.5 GB 最近下载:2025-11-01 热度:6663

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-03-14 大小:4.1 GB 最近下载:2025-11-01 热度:972

[ DevCourseWeb.com ] Udemy - Python-Introduction to Data Science and Machine learning A-Z

  • ~Get Your Files Here !/1. Introduction/2. What is Data Science.mp4 275.7 MB
  • ~Get Your Files Here !/8. Machine Learning/2. Presentation of Different algorithms.mp4 255.0 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4 202.3 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4 180.5 MB
  • ~Get Your Files Here !/8. Machine Learning/4. Machine learning algorithms part 2.mp4 170.4 MB
  • ~Get Your Files Here !/8. Machine Learning/1. Introduction to machine learning.mp4 138.4 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/1. The Basics of Data.mp4 130.4 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4 122.9 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4 120.4 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4 115.4 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 106.6 MB
  • ~Get Your Files Here !/4. Python library Pandas/1. The Basics of Pandas.mp4 93.3 MB
  • ~Get Your Files Here !/3. Python library NumPy/1. Introduction to Numpy.mp4 87.5 MB
  • ~Get Your Files Here !/6. Python library Matplotlib/1. Introduction to Matplotlib.mp4 73.8 MB
  • ~Get Your Files Here !/7. Python library Seaborn/1. Introduction to Seaborn.mp4 69.9 MB
  • ~Get Your Files Here !/2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4 69.5 MB
  • ~Get Your Files Here !/8. Machine Learning/5. Machine learning algorithms part 3.mp4 66.6 MB
  • ~Get Your Files Here !/5. Python library Scipy/1. The Basics of SciPy.mp4 65.8 MB
  • ~Get Your Files Here !/6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4 64.6 MB
  • ~Get Your Files Here !/7. Python library Seaborn/3. Seaborn operations part 1.mp4 56.3 MB
[磁力链接] 添加时间:2023-12-20 大小:3.4 GB 最近下载:2025-11-01 热度:3634

[FreeCourseSite.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:2022-02-06 大小:18.4 GB 最近下载:2025-11-01 热度:3314

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-11-01 热度:1197

[Udemy] 40 Days Bootcamp 40 Data Science and Machine Learning Projects (09.2021)

  • 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 254.8 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 224.1 MB
  • 21. Project-20 Predicting Forest Fire/2. Project Notebook.mp4 217.2 MB
  • 32. Project-31 Video Game Sales Prediction App/2. Google Colab part-1.mp4 211.9 MB
  • 17. Project-16 Customer Revenue Prediction/2. Colab Notebook.mp4 211.5 MB
  • 21. Project-20 Predicting Forest Fire/6.1 Forest Fires App -Code.zip 196.6 MB
  • 21. Project-20 Predicting Forest Fire/6.2 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 189.3 MB
  • 14. Project-13 Project To Find Legendary Pokemon/2. Creating Colab Notebook.mp4 185.7 MB
  • 30. Project-29 Customer Churning Prediction/3. Data visualization.mp4 168.3 MB
  • 32. Project-31 Video Game Sales Prediction App/4. Creating Django App.mp4 154.6 MB
  • 30. Project-29 Customer Churning Prediction/4. Model building.mp4 154.5 MB
  • 12. Project-11 Sentiment Analysis Using Logistic Regression/2. Project Notebook Google Colab.mp4 147.6 MB
  • 20. Project-19 Check Happiness Ranking Using Machine Learning/3. Creating Django App.mp4 145.0 MB
  • 29. Project-28 Covid 19 Data Analysis/4. Data Analysis part2.mp4 141.5 MB
  • 35. Project-34 Mushroom Classification App - Deploy On Heruko/2. Importing libraries and Understanding data.mp4 135.8 MB
  • 9. Project-8 Create Face Swapping Application/3. Data preprocessing and creating output.mp4 133.9 MB
[磁力链接] 添加时间:2022-02-05 大小:15.2 GB 最近下载:2025-10-31 热度:8120

[GigaCourse.Com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
  • 05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
  • 13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
  • 17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
  • 11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 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 121.5 MB
  • 23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
  • 07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
  • 22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
  • 06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
  • 07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
  • 11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
[磁力链接] 添加时间:2022-01-28 大小:11.3 GB 最近下载:2025-10-31 热度:1756

[FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

  • 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:2022-03-15 大小:1.5 GB 最近下载:2025-10-31 热度:1288

Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science

  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part02.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part05.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part04.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part03.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part11.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part09.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part07.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part10.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part06.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part01.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part08.rar 2.1 GB
  • Udemy.Machine.Learning.de.A.a.la.Z.R.y.Python.para.Data Science.part12.rar 985.1 MB
[磁力链接] 添加时间:2021-03-13 大小:24.6 GB 最近下载:2025-10-31 热度:1901

[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:2025-10-31 热度:1662

[GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning

  • 04 Matrices and Systems of Linear Equations/024 Row Echelon Form (REF).mp4 187.9 MB
  • 04 Matrices and Systems of Linear Equations/023 Elementary Row Operations.mp4 171.1 MB
  • 04 Matrices and Systems of Linear Equations/020 The Online Matrix Calculator A FREE Tool.mp4 88.2 MB
  • 03 Basics of Matrices (Continued)/012 Multiplication of two Matrices.mp4 85.6 MB
  • 07 Inverse of a Matrix/042 Inverse of a 3x3 Matrix - Gauss-Jordan Elimination Method.mp4.part 72.8 MB
  • 06 Determinant of a Matrix/033 Determinant of a 3x3 Matrix.mp4 72.3 MB
  • 04 Matrices and Systems of Linear Equations/025 Reduced Row Echelon Form (RREF).mp4 70.8 MB
  • 07 Inverse of a Matrix/041 Inverse of a 3x3 Matrix - The Co-factor Method.mp4 69.1 MB
  • 02 Basics of Matrices/006 Solving Linear Systems in 2 Unknowns - 005.mp4 57.2 MB
  • 03 Basics of Matrices (Continued)/019 SUMMARY.mp4 57.1 MB
  • 01 Welcome and Introduction/001 Welcome and Introduction.mp4 51.5 MB
  • 03 Basics of Matrices (Continued)/016 Using Matrices to Solve Simultaneous Linear Equations.mp4 45.4 MB
  • 03 Basics of Matrices (Continued)/017 EXAMPLE - Using Matrices to Solve Simultaneous Linear Equations.mp4 39.9 MB
  • 05 Matrix Algebra and Operations/029 Matrix Algebra - Matrix Multiplication.mp4 35.0 MB
  • 07 Inverse of a Matrix/038 Importance of Inverse in solving Linear Systems.mp4 33.6 MB
  • 02 Basics of Matrices/007 Solving Linear Systems in 3 Unknowns - 006.mp4 31.5 MB
  • 06 Determinant of a Matrix/032 Determinant of a 2x2 Matrix.mp4 31.1 MB
  • 03 Basics of Matrices (Continued)/010 Addition and Subtraction of Matrices.mp4 30.0 MB
  • 03 Basics of Matrices (Continued)/009 Types of Matrices.mp4 27.8 MB
  • 04 Matrices and Systems of Linear Equations/021 Systems of Linear Equations.mp4 23.5 MB
[磁力链接] 添加时间:2021-03-18 大小:1.5 GB 最近下载:2025-10-31 热度:2259

[ DevCourseWeb.com ] Udemy - Applied Physics for Data Science and Machine Learning

  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/002 Vectors and Scalars + Trigonometry.mp4 798.6 MB
  • ~Get Your Files Here !/05 - Types of Motion, Theories on Light, Interference, Diffraction and Polarization/001 Types of Motion, Theories on Light, Interference, Diffraction and Polarization.mp4 365.3 MB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/001 Properties of Matters.mp4 225.5 MB
  • ~Get Your Files Here !/03 - Heat and Thermodynamic/003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium.mp4 168.1 MB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/005 Viscosity and Surface Tension.mp4 162.0 MB
  • ~Get Your Files Here !/03 - Heat and Thermodynamic/001 A Brief Introductory Lecture on Heat.mp4 159.0 MB
  • ~Get Your Files Here !/07 - Electricity and Magnetism/001 A Brief Discussion on Electricity and Magnetism.mp4 150.0 MB
  • ~Get Your Files Here !/03 - Heat and Thermodynamic/002 Latent Heat and Temperature.mp4 125.4 MB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/003 Types of Flowing Fluids.mp4 107.0 MB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/004 Bernoulli's Equations.mp4 80.6 MB
  • ~Get Your Files Here !/04 - Waves and Oscillation/001 Defining Simple Harmonic Motion and Finding The Mathematical results in SHM.mp4 67.4 MB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/006 Methods to Determined the Surface Tension and What is Surface Energy.mp4 66.8 MB
  • ~Get Your Files Here !/06 - Reflection and Refraction/002 Reflection and Refraction.mp4 54.1 MB
  • ~Get Your Files Here !/06 - Reflection and Refraction/001 Definition of Reflection and Refraction.mp4 20.9 MB
  • ~Get Your Files Here !/01 - Introduction/001 Introduction.mp4 12.4 MB
  • ~Get Your Files Here !/05 - Types of Motion, Theories on Light, Interference, Diffraction and Polarization/001 Types of Motion, Theories on Light, Interference, Diffraction and Polarization_en.vtt 55.2 kB
  • ~Get Your Files Here !/07 - Electricity and Magnetism/001 A Brief Discussion on Electricity and Magnetism_en.vtt 34.0 kB
  • ~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/002 Vectors and Scalars + Trigonometry_en.vtt 32.3 kB
  • ~Get Your Files Here !/03 - Heat and Thermodynamic/003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium_en.vtt 31.9 kB
  • ~Get Your Files Here !/03 - Heat and Thermodynamic/001 A Brief Introductory Lecture on Heat_en.vtt 28.2 kB
[磁力链接] 添加时间:2022-02-01 大小:2.6 GB 最近下载:2025-10-31 热度:2081

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
  • 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB
[磁力链接] 添加时间:2021-03-11 大小:8.2 GB 最近下载:2025-10-31 热度:1316

Udemy - Machine Learning & Data Science The Complete Visual Guide (6.2025)

  • 04. Preliminary Data QA/9. CASE STUDY Preliminary QA.mp4 160.0 MB
  • 18. Clustering & Segmentation/6. CASE STUDY K-Means.mp4 96.4 MB
  • 13. Regression Modeling 101/8. CASE STUDY Non-Linear Regression.mp4 86.7 MB
  • 09. Classification Models/4. CASE STUDY KNN.mp4 81.8 MB
  • 15. Time-Series Forecasting/6. CASE STUDY Seasonality with One-Hot Encoding.mp4 70.3 MB
  • 15. Time-Series Forecasting/8. CASE STUDY Seasonality with Linear Trend.mp4 62.6 MB
  • 15. Time-Series Forecasting/14. CASE STUDY Intervention Analysis.mp4 61.5 MB
  • 20. Outlier Detection/5. CASE STUDY Cross-Sectional Outlier.mp4 60.2 MB
  • 19. Association Mining & Basket Analysis/8. CASE STUDY Apriori.mp4 50.4 MB
  • 05. Univariate Profiling/10. CASE STUDY Normal Distribution.mp4 48.3 MB
  • 09. Classification Models/21. CASE STUDY Logistic Regression.mp4 41.2 MB
  • 09. Classification Models/14. CASE STUDY Decision Trees.mp4 40.9 MB
  • 09. Classification Models/25. CASE STUDY Sentiment Analysis.mp4 40.5 MB
  • 06. Multivariate Profiling/13. CASE STUDY Correlation.mp4 37.4 MB
  • 06. Multivariate Profiling/3. CASE STUDY Heat Maps.mp4 31.2 MB
  • 13. Regression Modeling 101/5. CASE STUDY Univariate Linear Regression.mp4 30.5 MB
  • 13. Regression Modeling 101/3. Least Squared Error.mp4 29.7 MB
  • 15. Time-Series Forecasting/10. CASE STUDY Smoothing.mp4 25.3 MB
  • 05. Univariate Profiling/8. CASE STUDY Histograms.mp4 24.7 MB
  • 09. Classification Models/8. CASE STUDY Naïve Bayes.mp4 23.4 MB
[磁力链接] 添加时间:2025-08-19 大小:2.1 GB 最近下载:2025-10-30 热度:149

[ DevCourseWeb.com ] Udemy - Introduction to Machine Learning for Begineers[Data-science]

  • ~Get Your Files Here !/2. How Machine Learns/1. How Machine learns.mp4 77.6 MB
  • ~Get Your Files Here !/5. DATA VISUALIZATION/1. Data Visualization.mp4 70.4 MB
  • ~Get Your Files Here !/1. Complete machine learning series/1. Introduction.mp4 64.2 MB
  • ~Get Your Files Here !/4. Introduction To Pandas/1. pandas.mp4 56.2 MB
  • ~Get Your Files Here !/11. NAIVE BAYES/1. NAIVE BAYES THEORY.mp4 53.6 MB
  • ~Get Your Files Here !/9. KNN Algorithm/2. KNN code.mp4 48.0 MB
  • ~Get Your Files Here !/8. LOGISTIC REGRESSION/2. Logistic Regression code.mp4 46.7 MB
  • ~Get Your Files Here !/6. DATA PRE-PROCESSING/1. Data Preprocessing Theory.mp4 45.9 MB
  • ~Get Your Files Here !/9. KNN Algorithm/1. KNN THEORY.mp4 40.5 MB
  • ~Get Your Files Here !/10. DECISION TREE/1. DECISION TREE THEORY.mp4 36.0 MB
  • ~Get Your Files Here !/6. DATA PRE-PROCESSING/2. Data Preprocessing Code.mp4 34.7 MB
  • ~Get Your Files Here !/7. LINEAR REGRESSION/1. Linear Regression theory.mp4 30.3 MB
  • ~Get Your Files Here !/7. LINEAR REGRESSION/2. Linear Regression code.mp4 30.0 MB
  • ~Get Your Files Here !/10. DECISION TREE/2. DECISION TREE CODE.mp4 27.6 MB
  • ~Get Your Files Here !/12. RANDOM FOREST/1. RANDOM FOREST THEORY.mp4 23.8 MB
  • ~Get Your Files Here !/12. RANDOM FOREST/2. RANDOM FOREST CODE.mp4 21.3 MB
  • ~Get Your Files Here !/11. NAIVE BAYES/2. NAIVE BAYES CODE.mp4 19.2 MB
  • ~Get Your Files Here !/3. Installation of Lab/1. jupyter notebook installation.mp4 18.0 MB
  • ~Get Your Files Here !/8. LOGISTIC REGRESSION/1. Logistic Regression theory.mp4 7.3 MB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
[磁力链接] 添加时间:2022-05-05 大小:751.3 MB 最近下载:2025-10-30 热度:1503

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2025-10-30 热度:638

[FreeCourseSite.com] Udemy - Linear Programming for Data Science and Machine Learning

  • 3 - Linear Inequality/10 - Detailed Examples.mp4 339.2 MB
  • 3 - Linear Inequality/9 - Solution and Graphing of Linear Inequalities.mp4 288.6 MB
  • 4 - Linear Programming/12 - Optimal solution and objective function.mp4 275.6 MB
  • 4 - Linear Programming/11 - Linear Programming.mp4 271.0 MB
  • 3 - Linear Inequality/7 - Examples.mp4 120.7 MB
  • 2 - Coordinate System/2 - What is coordinate axis.mp4 41.3 MB
  • 2 - Coordinate System/4 - Drawing a linear graph.mp4 38.9 MB
  • 2 - Coordinate System/3 - Coordinate points of straight line.mp4 37.9 MB
  • 3 - Linear Inequality/5 - What are Linear Inequalities.mp4 35.8 MB
  • 1 - Introduction/1 - Introduction.mp4 28.5 MB
  • 3 - Linear Inequality/6 - Graphing Linear Inequalities.mp4 19.4 MB
  • 3 - Linear Inequality/8 - Example 2.mp4 15.5 MB
  • 4 - Linear Programming/12 - Optimal solution and objective function English.vtt 45.2 kB
  • 3 - Linear Inequality/10 - Detailed Examples English.vtt 44.8 kB
  • 3 - Linear Inequality/9 - Solution and Graphing of Linear Inequalities English.vtt 41.5 kB
  • 4 - Linear Programming/11 - Linear Programming English.vtt 39.2 kB
  • 3 - Linear Inequality/7 - Examples English.vtt 31.9 kB
  • 3 - Linear Inequality/5 - What are Linear Inequalities English.vtt 9.1 kB
  • 2 - Coordinate System/2 - What is coordinate axis English.vtt 7.8 kB
  • 2 - Coordinate System/3 - Coordinate points of straight line English.vtt 6.6 kB
[磁力链接] 添加时间:2023-12-26 大小:1.5 GB 最近下载:2025-10-30 热度:1037

[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
  • 15. Data Visualization with R/2. Histograms.mp4 59.7 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
  • 21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB
[磁力链接] 添加时间:2021-04-28 大小:3.1 GB 最近下载:2025-10-30 热度:554

GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip

  • GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
[磁力链接] 添加时间:2021-05-10 大小:18.1 GB 最近下载:2025-10-29 热度:978

[FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
  • 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB
[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2025-10-29 热度:1325


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