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[TutNetFlix.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-03-27 大小:20.5 GB 最近下载:2025-08-22 热度:451

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-05-14 大小:20.6 GB 最近下载:2025-08-22 热度:919

[DesireCourse.Net] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/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. The Field of Data Science/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. The Field of Data Science - The Various Data Science Disciplines/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 107.7 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
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 12. Probability - Distributions/3. Types of Probability Distributions.mp4 96.0 MB
[磁力链接] 添加时间:2021-04-05 大小:16.8 GB 最近下载:2025-08-22 热度:1052

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

  • 9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4 456.4 MB
  • 5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4 437.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.1 MB
  • 16 - Career Advice Extra Bits/268 - CWD Git Github.mp4 379.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4 352.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4 337.7 MB
  • 16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4 327.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4 311.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4 305.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4 292.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4 278.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4 278.7 MB
  • 5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4 274.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4 273.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4 271.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4 266.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4 266.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4 263.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4 260.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4 257.0 MB
[磁力链接] 添加时间:2024-01-13 大小:31.4 GB 最近下载:2025-08-21 热度:1714

[FreeCourseLab.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.3 MB
  • 12. Probability Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 164.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 MB
  • 3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.vtt 133.0 MB
  • 3. The Field of Data Science - Connecting the Data Science Disciplines/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
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/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 108.6 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 107.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
  • 13. 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
[磁力链接] 添加时间:2021-04-03 大小:16.6 GB 最近下载:2025-08-21 热度:271

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [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
  • 5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 4. 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
  • 3. 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
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [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
  • 5. 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
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 4. 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/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/9. 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:2021-03-14 大小:18.4 GB 最近下载:2025-08-21 热度:1568

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science with Python A-Z

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-03-22 大小:3.3 GB 最近下载:2025-08-20 热度:856

[FreeCourseSite.com] Udemy - Data Science with Python Complete Course

  • 5. Let's dig deeper/2. EDA on Mc'donalds Data Set.mp4 723.3 MB
  • 4. Advance Python/2. Advance Programming in Python Part 2.mp4 629.0 MB
  • 5. Let's dig deeper/3. Exploratory Data Analysis.mp4 460.1 MB
  • 4. Advance Python/1. Advance Programming in Python.mp4 377.0 MB
  • 4. Advance Python/5. Multivariate Plotting.mp4 352.8 MB
  • 7. Module Seven/2. How to use Linear Regression.mp4 318.3 MB
  • 3. Python for Data Science/15. Control Flow in Python.mp4 286.8 MB
  • 4. Advance Python/3. Data Visualisations.mp4 276.4 MB
  • 3. Python for Data Science/17. Types of Functions in Python.mp4 240.0 MB
  • 3. Python for Data Science/9. Data Types & Related Stuffs in Python.mp4 213.1 MB
  • 2. Basic Maths Required for Data Science/8. Probability.mp4 188.5 MB
  • 7. Module Seven/3. Logistic Regression.mp4 163.9 MB
  • 7. Module Seven/1. Linear Regression.mp4 157.4 MB
  • 2. Basic Maths Required for Data Science/4. Measures of Spread.mp4 156.2 MB
  • 4. Advance Python/4. Bivariate Plotting.mp4 156.1 MB
  • 7. Module Seven/4. Logistic Regression on Titanic Data Set.mp4 147.9 MB
  • 10. Project Telecom Churn Production/3. Project Part 3.mp4 135.7 MB
  • 2. Basic Maths Required for Data Science/1. Let's Start with Statistics.mp4 135.2 MB
  • 3. Python for Data Science/14. Operators in Python.mp4 126.5 MB
  • 10. Project Telecom Churn Production/5. Project Let's Finalise it.mp4 125.2 MB
[磁力链接] 添加时间:2022-02-01 大小:8.7 GB 最近下载:2025-08-18 热度:695

[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:2025-08-18 热度:2171

[ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip

  • [ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip 832.8 MB
[磁力链接] 添加时间:2021-03-29 大小:832.8 MB 最近下载:2025-08-18 热度:75

[FreeCourseSite.com] Udemy - The Data Science Course 2018 Complete Data Science Bootcamp

  • 1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.mp4 51.4 MB
  • 1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.srt 6.5 kB
  • 1. Part 1 Introduction/1. A Practical Example What You Will Learn in This Course.vtt 5.8 kB
  • 1. Part 1 Introduction/2. What Does the Course Cover.mp4 65.3 MB
  • 1. Part 1 Introduction/2. What Does the Course Cover.srt 5.2 kB
  • 1. Part 1 Introduction/2. What Does the Course Cover.vtt 4.6 kB
  • 10. Statistics - Descriptive Statistics/1. Types of Data.mp4 76.0 MB
  • 10. Statistics - Descriptive Statistics/1. Types of Data.srt 6.1 kB
  • 10. Statistics - Descriptive Statistics/1. Types of Data.vtt 5.4 kB
  • 10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 493.8 kB
  • 10. Statistics - Descriptive Statistics/10. Histogram Exercise.html 81 Bytes
  • 10. Statistics - Descriptive Statistics/10.1 2.5.The-Histogram-exercise.xlsx.xlsx 15.9 kB
  • 10. Statistics - Descriptive Statistics/10.2 2.5.The-Histogram-exercise-solution.xlsx.xlsx 17.5 kB
  • 10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.mp4 41.7 MB
  • 10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.srt 6.8 kB
  • 10. Statistics - Descriptive Statistics/11. Cross Table and Scatter Plot.vtt 6.0 kB
  • 10. Statistics - Descriptive Statistics/11.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.7 kB
  • 10. Statistics - Descriptive Statistics/12. Cross Tables and Scatter Plots Exercise.html 81 Bytes
  • 10. Statistics - Descriptive Statistics/12.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 41.4 kB
  • 10. Statistics - Descriptive Statistics/12.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.7 kB
[磁力链接] 添加时间:2018-10-17 大小:9.9 GB 最近下载:2025-08-16 热度:318

[ DevCourseWeb.com ] Udemy - Complete Machine Learning and Data Science with Python A-Z

  • ~Get Your Files Here !/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
  • ~Get Your Files Here !/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 125.6 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 94.4 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 85.4 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 79.9 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 75.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 73.7 MB
  • ~Get Your Files Here !/9. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 62.3 MB
  • ~Get Your Files Here !/2. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
  • ~Get Your Files Here !/6. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp4 51.3 MB
  • ~Get Your Files Here !/10. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp4 49.8 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp4 49.7 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp4 49.5 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Python.mp4 47.9 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 44.5 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/3. Support Vector Machine Algorithm with Python Part 2.mp4 43.7 MB
[磁力链接] 添加时间:2023-12-17 大小:2.7 GB 最近下载:2025-08-15 热度:5262

[FreeCourseSite.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 MB
  • 3. The Field of Data Science - Connecting the Data Science Disciplines/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
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
  • 53. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 53. 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
  • 51. Deep Learning - Business Case Example/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
  • 13. 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
  • 12. Probability Distributions/3. Types of Probability Distributions.mp4 96.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2021-04-07 大小:15.1 GB 最近下载:2025-08-15 热度:495

Complete Machine Learning & Data Science with R-2019

  • Complete Machine Learning & Data Science with R-2019.zip 6.3 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:2022-05-08 大小:6.3 GB 最近下载:2025-08-15 热度:439

Udemy - Microsoft Power BI - The Complete Masterclass - Master Power BI Desktop, Cloud & Mobile and advanced analytics with DAX (also Data Science)! [2020 EDITION] - Nov 2020.rar

  • Udemy - Microsoft Power BI - The Complete Masterclass - Master Power BI Desktop, Cloud & Mobile and advanced analytics with DAX (also Data Science)! [2020 EDITION] - Nov 2020.rar 4.3 GB
[磁力链接] 添加时间:2024-08-15 大小:4.3 GB 最近下载:2025-08-14 热度:270

[FreeCourseSite.com] Udemy - Data Science with Python Complete Course

  • 5. Let's dig deeper/2. EDA on Mc'donalds Data Set.mp4 723.3 MB
  • 4. Advance Python/2. Advance Programming in Python Part 2.mp4 629.0 MB
  • 5. Let's dig deeper/3. Exploratory Data Analysis.mp4 460.1 MB
  • 4. Advance Python/1. Advance Programming in Python.mp4 377.0 MB
  • 4. Advance Python/5. Multivariate Plotting.mp4 352.8 MB
  • 7. Module Seven/2. How to use Linear Regression.mp4 318.3 MB
  • 3. Python for Data Science/15. Control Flow in Python.mp4 286.8 MB
  • 4. Advance Python/3. Data Visualisations.mp4 276.4 MB
  • 3. Python for Data Science/17. Types of Functions in Python.mp4 240.0 MB
  • 3. Python for Data Science/9. Data Types & Related Stuffs in Python.mp4 213.1 MB
  • 2. Basic Maths Required for Data Science/8. Probability.mp4 188.5 MB
  • 7. Module Seven/3. Logistic Regression.mp4 163.9 MB
  • 7. Module Seven/1. Linear Regression.mp4 157.4 MB
  • 2. Basic Maths Required for Data Science/4. Measures of Spread.mp4 156.2 MB
  • 4. Advance Python/4. Bivariate Plotting.mp4 156.1 MB
  • 7. Module Seven/4. Logistic Regression on Titanic Data Set.mp4 147.9 MB
  • 10. Project Telecom Churn Production/3. Project Part 3.mp4 135.7 MB
  • 2. Basic Maths Required for Data Science/1. Let's Start with Statistics.mp4 135.2 MB
  • 3. Python for Data Science/14. Operators in Python.mp4 126.5 MB
  • 10. Project Telecom Churn Production/5. Project Let's Finalise it.mp4 125.2 MB
[磁力链接] 添加时间:2022-02-28 大小:8.7 GB 最近下载:2025-08-13 热度:883

[DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • [DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
  • [FreeCourseWorld.Com].url 54 Bytes
  • [DesireCourse.Net].url 51 Bytes
[磁力链接] 添加时间:2021-03-06 大小:18.1 GB 最近下载:2025-08-12 热度:1007

[CourseClub.Me] O'REILLY - Python for Data Science Complete Video Course Video Training

  • 48 - 9.2 Learn SciPy.mp4 697.3 MB
  • 77 - 14.4 Use function-based concurrency.mp4 637.7 MB
  • 08 - 2.2 Manage Colab documents.mp4 473.7 MB
  • 84 - 16.1 PyTest.mp4 391.0 MB
  • 24 - 5.1 Use lists and tuples.mp4 387.9 MB
  • 85 - 16.2 Visual Studio Code.mp4 382.4 MB
  • 79 - 15.1 Share with Github.mp4 375.5 MB
  • 50 - 9.4 Learn TensorFlow.mp4 358.5 MB
  • 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
  • 49 - 9.3 Learn Pandas.mp4 351.9 MB
  • 07 - 2.1 Create your first Colab document.mp4 344.8 MB
  • 45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
  • 72 - 13.3 Sort in Pandas.mp4 316.6 MB
  • 47 - 9.1 Learn NumPy.mp4 301.9 MB
  • 67 - 12.2 Use regular expressions.mp4 298.4 MB
  • 52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
  • 51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
  • 10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
  • 53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
  • 27 - 5.4 Work with the numpy array.mp4 245.8 MB
[磁力链接] 添加时间:2021-03-31 大小:14.1 GB 最近下载:2025-08-11 热度:1283

GetFreeCourses.Co-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:2022-02-15 大小:18.4 GB 最近下载:2025-08-11 热度:1580

[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:2025-08-09 热度:1333


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