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

  • ~Get Your Files Here !/6. Python Overview/2. [Hands on 1] Python Data Types & Structures, NumPy Data Structures.mp4 573.4 MB
  • ~Get Your Files Here !/6. Python Overview/14. [Hands on 7] Combining Datasets.mp4 287.0 MB
  • ~Get Your Files Here !/6. Python Overview/16. [Hands on 8] Aggregation and Grouping.mp4 213.9 MB
  • ~Get Your Files Here !/6. Python Overview/18. [Hands on 9] Strings, List-Set-Dictionary Comp., Functions, Unpacking Seqence.mp4 201.9 MB
  • ~Get Your Files Here !/6. Python Overview/12. [Hands on 6] Hierarchical Indexing Multi-Indexing.mp4 196.7 MB
  • ~Get Your Files Here !/6. Python Overview/4. [Hands on 2] Pandas Data Structures.mp4 190.4 MB
  • ~Get Your Files Here !/8. Statistics – An Overview/1. Statistics – An Overview.mp4 166.9 MB
  • ~Get Your Files Here !/6. Python Overview/1. Python Data Types & Structures, NumPy Data Structures.mp4 126.9 MB
  • ~Get Your Files Here !/7. Linear Algebra – An Overview/1. Linear Algebra – An Overview.mp4 97.8 MB
  • ~Get Your Files Here !/9. Probability – An Overview/1. Probability – An Overview.mp4 95.6 MB
  • ~Get Your Files Here !/3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 88.4 MB
  • ~Get Your Files Here !/6. Python Overview/17. Strings, List-Set-Dictionary Comprehensions, Functions, Unpacking Sequence.mp4 87.6 MB
  • ~Get Your Files Here !/6. Python Overview/6. [Hands on 3] Pandas Data Indexing and Selection.mp4 78.7 MB
  • ~Get Your Files Here !/6. Python Overview/8. [Hands on 4] Pandas Operating on Data.mp4 73.0 MB
  • ~Get Your Files Here !/10. OOPs – An Overview/1. OOPs – An Overview.mp4 64.8 MB
  • ~Get Your Files Here !/6. Python Overview/10. [Hands on 5] Handling missing data.mp4 56.9 MB
  • ~Get Your Files Here !/5. JupyterLab – An Overview/2. [Hands on] JupyterLab Overview (Notebook Commands, Markdown Codes).mp4 55.7 MB
  • ~Get Your Files Here !/11. Important Libraries – An Overview/1. Important Libraries – An Overview.mp4 45.9 MB
  • ~Get Your Files Here !/6. Python Overview/15. Aggregation and Grouping.mp4 44.8 MB
  • ~Get Your Files Here !/6. Python Overview/5. Pandas Data Indexing and Selection.mp4 33.4 MB
[磁力链接] 添加时间:2024-02-14 大小:3.0 GB 最近下载:2025-11-05 热度:4613

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

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-11-05 热度:3439

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning with Python and Libraries (Update).zip

  • [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning with Python and Libraries (Update).zip 1.9 GB
[磁力链接] 添加时间:2021-05-02 大小:1.9 GB 最近下载:2025-11-05 热度:1978

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

  • 1. Introduction/2. What is Data Science.mp4 275.7 MB
  • 8. Machine Learning/2. Presentation of Different algorithms.mp4 255.0 MB
  • 2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4 202.3 MB
  • 2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4 180.5 MB
  • 8. Machine Learning/4. Machine learning algorithms part 2.mp4 170.4 MB
  • 8. Machine Learning/1. Introduction to machine learning.mp4 138.4 MB
  • 2. Basic Statstics knowledge/1. The Basics of Data.mp4 130.4 MB
  • 2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4 122.9 MB
  • 2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4 120.4 MB
  • 2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4 115.4 MB
  • 1. Introduction/1. Introduction.mp4 106.6 MB
  • 4. Python library Pandas/1. The Basics of Pandas.mp4 93.3 MB
  • 3. Python library NumPy/1. Introduction to Numpy.mp4 87.5 MB
  • 6. Python library Matplotlib/1. Introduction to Matplotlib.mp4 73.8 MB
  • 7. Python library Seaborn/1. Introduction to Seaborn.mp4 69.9 MB
  • 2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4 69.5 MB
  • 8. Machine Learning/5. Machine learning algorithms part 3.mp4 66.6 MB
  • 5. Python library Scipy/1. The Basics of SciPy.mp4 65.8 MB
  • 6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4 64.6 MB
  • 7. Python library Seaborn/3. Seaborn operations part 1.mp4 56.3 MB
[磁力链接] 添加时间:2023-12-17 大小:3.4 GB 最近下载:2025-11-05 热度:5957

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 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.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
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-11-05 热度:1094

Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)

  • 5 - More About Probability Distributions and Random Variables/23 -Exercise Sums of Jointly Normal Random Variables (Optional).mp4 450.8 MB
  • 5 - More About Probability Distributions and Random Variables/21 -Multidimensional Change of Variables (Continuous).mp4 219.9 MB
  • 10 - Advanced and Other Topics/4 -Why Does the Normal Distribution Integrate to 1.mp4 187.4 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/2 -Anaconda Environment Setup.mp4 183.9 MB
  • 6 - Expectation and Expected Values/11 -Covariance and Correlation.mp4 170.1 MB
  • 5 - More About Probability Distributions and Random Variables/11 -Conditional Distributions and Bayes' Rule.mp4 161.1 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.mp4 154.4 MB
  • 2 - Probability Basics/12 -Bayes' Rule Example.mp4 152.6 MB
  • 5 - More About Probability Distributions and Random Variables/7 -Change of Variables (Functions of Random Variables) pt 2.mp4 151.2 MB
  • 6 - Expectation and Expected Values/12 -Exercise Covariance and Correlation of Bivariate Normal.mp4 151.2 MB
  • 3 - Random Variables and Probability Distributions/3 -The Bernoulli Distribution.mp4 149.3 MB
  • 6 - Expectation and Expected Values/2 -Expected Value and Mean.mp4 141.5 MB
  • 4 - Continuous Random Variables and Probability Density Functions/2 -Continuous Random Variables and Continuous Distributions.mp4 137.3 MB
  • 5 - More About Probability Distributions and Random Variables/13 -Independence.mp4 136.2 MB
  • 5 - More About Probability Distributions and Random Variables/25 -CDFs and Multiple Random Variables Section Summary.mp4 133.8 MB
  • 3 - Random Variables and Probability Distributions/5 -The Binomial Distribution.mp4 132.9 MB
  • 9 - Limit Theorems/8 -Central Limit Theorem.mp4 132.8 MB
  • 9 - Limit Theorems/9 -LLN and CLT in Python.mp4 132.0 MB
  • 2 - Probability Basics/15 -Probability Tree Diagrams.mp4 130.0 MB
  • 7 - Generating Functions/11 -Moment Generating Functions for Random Vectors.mp4 125.0 MB
[磁力链接] 添加时间:2025-07-02 大小:10.7 GB 最近下载:2025-11-05 热度:473

[FreeCourseSite.com] 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:2021-03-11 大小:4.1 GB 最近下载:2025-11-05 热度:5016

Udemy - Complete A.I. & Machine Learning, Data Science Bootcamp (5.2024)

  • 9 - Scikitlearn Creating Machine Learning Models/118 - NEW Choosing The Right Model For Your Data.mp4 456.8 MB
  • 5 - Data Science Environment Setup/42 - Windows Environment Setup 2.mp4 437.7 MB
  • 9 - Scikitlearn Creating Machine Learning Models/141 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 431.1 MB
  • 16 - Career Advice Extra Bits/274 - CWD Git Github.mp4 379.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/108 - Typical scikitlearn Workflow.mp4 353.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/109 - Optional Debugging Warnings In Jupyter.mp4 338.1 MB
  • 16 - Career Advice Extra Bits/268 - What If I Dont Have Enough Experience.mp4 327.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/144 - Tuning Hyperparameters.mp4 325.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Training Your Deep Neural Network.mp4 311.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/187 - Feature Engineering.mp4 305.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Make And Transform Predictions.mp4 292.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Turning Data Into Batches 2.mp4 279.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Turning Data Into Numbers.mp4 279.2 MB
  • 5 - Data Science Environment Setup/39 - Mac Environment Setup.mp4 274.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/198 - Preproccessing Our Data.mp4 271.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/200 - Feature Importance.mp4 266.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Visualizing And Evaluate Model Predictions 2.mp4 266.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Exploring Our Data.mp4 264.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/253 - Training Model On Full Dataset.mp4 263.9 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/165 - Finding Patterns 3.mp4 261.1 MB
[磁力链接] 添加时间:2025-07-14 大小:32.6 GB 最近下载:2025-11-05 热度:1161

Udemy - Math 0-1 Linear Algebra for Data Science & Machine Learning (8.2023)

  • 5. Matrix Rank/1. Linear Independence and Dependence.mp4 376.3 MB
  • 3. Vectors and Matrices/9. What is a Matrix.mp4 292.2 MB
  • 6. Eigenvalues and Eigenvectors/13. Constructing the SVD (Proof of SVD).mp4 291.7 MB
  • 4. Matrix Operations and Special Matrices/21. Positive Definite and Negative Definite Matrices.mp4 269.1 MB
  • 5. Matrix Rank/4. Matrix Decompositions (SVD, QR, LU, Cholesky).mp4 269.1 MB
  • 4. Matrix Operations and Special Matrices/16. Determinants (pt 2).mp4 267.2 MB
  • 6. Eigenvalues and Eigenvectors/12. Diagonalization.mp4 261.9 MB
  • 5. Matrix Rank/5. Rank After Multplication.mp4 257.2 MB
  • 6. Eigenvalues and Eigenvectors/1. How to Find Eigenvalues and Eigenvectors (pt 1).mp4 255.4 MB
  • 4. Matrix Operations and Special Matrices/7. Properties of the Matrix Transpose.mp4 253.9 MB
  • 4. Matrix Operations and Special Matrices/3. Matrix Inverse.mp4 249.2 MB
  • 2. Linear Systems Review/4. Gaussian Elimination.mp4 240.1 MB
  • 3. Vectors and Matrices/6. Application Neural Embeddings, Cosine Similarity (Optional).mp4 238.1 MB
  • 5. Matrix Rank/3. The Rank of a Matrix.mp4 234.3 MB
  • 6. Eigenvalues and Eigenvectors/3. Exercise Rotation Matrix.mp4 232.6 MB
  • 4. Matrix Operations and Special Matrices/23. Exercise Complete the Square.mp4 226.5 MB
  • 3. Vectors and Matrices/1. What is a Vector.mp4 210.7 MB
  • 4. Matrix Operations and Special Matrices/6. Matrix Transpose.mp4 197.9 MB
  • 4. Matrix Operations and Special Matrices/15. Determinants (pt 1).mp4 197.9 MB
  • 3. Vectors and Matrices/11. Matrix Multiplication.mp4 196.8 MB
[磁力链接] 添加时间:2025-07-04 大小:11.2 GB 最近下载:2025-11-05 热度:676

[FreeCourseSite.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:2022-02-18 大小:3.3 GB 最近下载:2025-11-05 热度:1227

[GigaCourse.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:2023-12-19 大小:12.3 GB 最近下载:2025-11-05 热度:3276

Udemy - Math 0-1 Calculus for Data Science & Machine Learning (2.2025)

  • 9 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 154.2 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/8 -Optimization and Lagrange Multipliers (pt 1).mp4 131.9 MB
  • 7 - Integration (Calculus 2)/3 -Fundamental Theorem of Calculus (pt 1).mp4 120.1 MB
  • 2 - Review/1 -Functions Review.mp4 119.8 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/5 -What order should I take your courses in (part 2).mp4 111.0 MB
  • 5 - Derivative Rules/7 -Product and Quotient Rules.mp4 105.9 MB
  • 5 - Derivative Rules/5 -Chain Rule.mp4 99.6 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/2 -Partial Differentiation.mp4 97.8 MB
  • 4 - Derivatives From First Principles/1 -Slopes, Tangent Lines, and Derivatives.mp4 96.4 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/3 -The Gradient.mp4 95.3 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/2 -Can YouTube Teach Me Calculus (Optional).mp4 91.1 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/9 -Optimization and Lagrange Multipliers (pt 2).mp4 84.9 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/4 -What order should I take your courses in (part 1).mp4 81.7 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/1 -Math Order for Machine Learning & Data Science.mp4 79.3 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/4 -The Jacobian and Hessian.mp4 76.4 MB
  • 4 - Derivatives From First Principles/2 -More On Tangent Lines, Derivative Checking.mp4 74.3 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/7 -Steepest Ascent in Python.mp4 74.2 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/10 -Vector Calculus Section Summary.mp4 71.8 MB
  • 9 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4 71.7 MB
  • 2 - Review/2 -Functions Review in Python.mp4 70.8 MB
[磁力链接] 添加时间:2025-06-19 大小:4.4 GB 最近下载:2025-11-05 热度:779

[FreeCourseSite.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/39. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-03-16 大小:21.1 GB 最近下载:2025-11-05 热度:12281

[GigaCourse.Com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
  • 5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
  • 13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
  • 17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
  • 24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
  • 25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
  • 11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
  • 16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
  • 7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
  • 7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
  • 14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
  • 26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
  • 5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
  • 13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
  • 11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
[磁力链接] 添加时间:2023-12-18 大小:17.5 GB 最近下载:2025-11-05 热度:4325

[ FreeCourseWeb.com ] Udemy - Data Science - Admission Prediction using Machine Learning.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science - Admission Prediction using Machine Learning.zip 314.5 MB
[磁力链接] 添加时间:2021-04-23 大小:314.5 MB 最近下载:2025-11-05 热度:745

Udemy - Python for Machine Learning & Data Science Masterclass (9.2021)

  • 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 - Cohort Analysis and Tree Based Methods/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 - Cohort Analysis and Tree Based Methods/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 - Cohort Analysis and Tree Based Methods/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB
[磁力链接] 添加时间:2025-08-02 大小:12.3 GB 最近下载:2025-11-04 热度:346

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

  • [DesireCourse.Com] Data Science, Deep Learning and Machine Learning with Python.zip 4.0 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-11-19 大小:4.0 GB 最近下载:2025-11-04 热度:2112

[DesireCourse.Net] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 238.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 199.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16 Career Advice Extra Bits/257 CWD Git Github.mp4 184.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4 184.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4 174.7 MB
  • 16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4 168.8 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4 166.9 MB
  • 09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4 166.0 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4 162.5 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4 156.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4 153.3 MB
  • 05 Data Science Environment Setup/035 Mac Environment Setup.mp4 151.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4 149.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4 147.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4 146.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4 146.1 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-05-05 大小:20.6 GB 最近下载:2025-11-04 热度:2383

[FreeTutorials.Us] Udemy - data-science-and-machine-learning-with-python-hands-on

  • 01 Getting Started/001 Introduction.mp4 29.1 MB
  • 01 Getting Started/001 Introduction-subtitle-en.srt 5.0 kB
  • 01 Getting Started/002 [Activity] Getting What You Need.mp4 10.0 MB
  • 01 Getting Started/002 [Activity] Getting What You Need-subtitle-en.srt 4.9 kB
  • 01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4 42.5 MB
  • 01 Getting Started/003 [Activity] Installing Enthought Canopy-subtitle-en.srt 9.7 kB
  • 01 Getting Started/004 Python Basics_ Part 1.mp4 46.1 MB
  • 01 Getting Started/004 Python Basics_ Part 1-subtitle-en.srt 34.5 kB
  • 01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4 29.8 MB
  • 01 Getting Started/005 [Activity] Python Basics_ Part 2-subtitle-en.srt 20.3 kB
  • 01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
  • 01 Getting Started/006 Running Python Scripts-subtitle-en.srt 8.8 kB
  • 01 Getting Started/007 Introducing the Pandas Library.mp4 45.4 MB
  • 01 Getting Started/007 Introducing the Pandas Library-subtitle-en.srt 18.4 kB
  • 01 Getting Started/external_links.txt 146 Bytes
  • 02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4 35.8 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data-subtitle-en.srt 15.8 kB
  • 02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4 29.5 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode-subtitle-en.srt 12.6 kB
  • 02 Statistics and Probability Refresher_ and Python Practise/010 [Activity] Using mean_ median_ and mode in Python.mp4 40.9 MB
[磁力链接] 添加时间:2018-01-30 大小:3.3 GB 最近下载:2025-11-04 热度:1937

Udemy - Data Science and Machine Learning Fundamentals [2025] (5.2025)

  • 8 - Text Mining and NLP/13 -Emotion Mining and Sentiment Analysis.mp4 1.1 GB
  • 5 - Master Classification with Machine Learning models/5 -The Decision Tree Classifier.mp4 575.8 MB
  • 4 - Master Regression and Prediction with Machine Learning models/10 -Regression Regularization, Lasso and Ridge models (X).mp4 545.7 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.mp4 531.9 MB
  • 4 - Master Regression and Prediction with Machine Learning models/11 -Decision Tree Regression models (XI).mp4 499.2 MB
  • 2 - Master Python for data handling/6 -Python Strings and DateTime Objects.mp4 492.4 MB
  • 8 - Text Mining and NLP/6 -The Tokenization Process.mp4 465.7 MB
  • 4 - Master Regression and Prediction with Machine Learning models/12 -Random Forest Regression (XII).mp4 430.5 MB
  • 4 - Master Regression and Prediction with Machine Learning models/9 -Multivariate Polynomial Multiple Regression models (VIIII).mp4 428.7 MB
  • 8 - Text Mining and NLP/7 -Spelling correction and stop words.mp4 428.4 MB
  • 2 - Master Python for data handling/21 -Python Object Oriented Programming IV Recap and More.mp4 425.6 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).mp4 408.2 MB
  • 5 - Master Classification with Machine Learning models/2 -Logistic Regression Classifier.mp4 398.2 MB
  • 5 - Master Classification with Machine Learning models/7 -Linear Discriminant Analysis (LDA) [Extra Video].mp4 383.7 MB
  • 2 - Master Python for data handling/19 -Python Object Oriented Programming II OOP.mp4 355.1 MB
  • 4 - Master Regression and Prediction with Machine Learning models/6 -Linear Multiple Regression model (VI).mp4 354.7 MB
  • 1 - Introduction/4 -The Conda Package Management System (optional).mp4 354.5 MB
  • 2 - Master Python for data handling/1 -Overview.mp4 352.0 MB
  • 6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 350.7 MB
  • 5 - Master Classification with Machine Learning models/6 -The Random Forest Classifier.mp4 347.6 MB
[磁力链接] 添加时间:2025-08-06 大小:24.4 GB 最近下载:2025-11-04 热度:369


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