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Udemy - Complete Machine Learning & Data Science with Python A-Z (4.2025)

  • 02. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
  • 03. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 93.9 MB
  • 02. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 89.8 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 66.8 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 60.3 MB
  • 06. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 52.2 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 48.1 MB
  • 02. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 48.0 MB
  • 03. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 47.2 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 46.9 MB
  • 05. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 41.7 MB
  • 07. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp4 41.3 MB
  • 17. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp4 39.8 MB
  • 13. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp4 34.9 MB
  • 09. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 31.6 MB
  • 10. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp4 28.4 MB
  • 08. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp4 28.2 MB
  • 11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 26.3 MB
  • 16. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp4 26.2 MB
[磁力链接] 添加时间:2025-10-08 大小:1.6 GB 最近下载:2025-11-04 热度:50

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

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:2025-11-03 热度:366

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:2025-11-01 热度:341

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:2025-11-04 热度:1152

Udemy - Data Science Supervised Machine Learning in Python (11.2024)

  • 9 - Setting Up Your Environment FAQ by Student Request/43 - Anaconda Environment Setup.mp4 324.0 MB
  • 9 - Setting Up Your Environment FAQ by Student Request/44 - How to install Numpy Scipy Matplotlib and SciKit Learn.mp4 201.3 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/52 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.9 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/51 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
  • 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
  • 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/45 - How to Code by Yourself part 1.mp4 98.1 MB
  • 1 - Introduction and Review/3 - Where to get the Code and Data.mp4 64.2 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 63.1 MB
  • 4 - Decision Trees/28 - Decision Tree in Code.mp4 55.1 MB
  • 3 - Naive Bayes and Bayes Classifiers/14 - Bayes Classifier Intuition Continuous.mp4 53.1 MB
  • 3 - Naive Bayes and Bayes Classifiers/16 - Naive Bayes.mp4 49.7 MB
  • 12 - Appendix FAQ Finale/54 - BONUS.mp4 45.2 MB
  • 1 - Introduction and Review/1 - Introduction and Outline.mp4 40.8 MB
  • 5 - Perceptrons/31 - Perceptron for MNIST and XOR.mp4 39.9 MB
  • 5 - Perceptrons/29 - Perceptron Concepts.mp4 39.4 MB
  • 3 - Naive Bayes and Bayes Classifiers/19 - NonNaive Bayes.mp4 37.0 MB
  • 6 - Practical Machine Learning/37 - SciKit Learn.mp4 35.2 MB
  • 3 - Naive Bayes and Bayes Classifiers/15 - Bayes Classifier Intuition Discrete.mp4 32.9 MB
  • 2 - KNearest Neighbor/7 - KNN in Code with MNIST.mp4 31.9 MB
  • 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/46 - How to Code by Yourself part 2.mp4 30.7 MB
[磁力链接] 添加时间:2025-07-06 大小:2.2 GB 最近下载:2025-10-19 热度:177

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:2025-11-04 热度:624

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:2025-10-31 热度:472

Udemy - Math 0-1 Matrix Calculus in Data Science & Machine Learning (12.2024)

  • 2 - Matrix and Vector Derivatives/3 -Quadratic Form (pt 1).mp4 191.6 MB
  • 3 - Optimization Techniques/3 -Gradient Descent (One Dimension).mp4 182.5 MB
  • 2 - Matrix and Vector Derivatives/7 -Exercise Gaussian.mp4 178.6 MB
  • 4 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 154.3 MB
  • 2 - Matrix and Vector Derivatives/10 -Chain Rule Generalized.mp4 147.5 MB
  • 2 - Matrix and Vector Derivatives/12 -Left and Right Inverse as Optimization Problems.mp4 143.9 MB
  • 3 - Optimization Techniques/8 -Exercise Code Preparation.mp4 127.0 MB
  • 3 - Optimization Techniques/6 -Newton's Method (Multiple Dimensions).mp4 122.9 MB
  • 5 - Effective Learning Strategies (AppendixFAQ by Student Request)/5 -What order should I take your courses in (part 2).mp4 110.9 MB
  • 5 - Effective Learning Strategies (AppendixFAQ by Student Request)/3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 108.5 MB
  • 2 - Matrix and Vector Derivatives/9 -Chain Rule in Matrix Form.mp4 104.2 MB
  • 5 - Effective Learning Strategies (AppendixFAQ by Student Request)/2 -Can YouTube Teach Me Calculus (Optional).mp4 91.0 MB
  • 3 - Optimization Techniques/9 -Gradient Descent and Newton's Method in Python.mp4 83.7 MB
  • 2 - Matrix and Vector Derivatives/8 -Chain Rule.mp4 83.6 MB
  • 5 - Effective Learning Strategies (AppendixFAQ by Student Request)/4 -What order should I take your courses in (part 1).mp4 81.7 MB
  • 5 - Effective Learning Strategies (AppendixFAQ by Student Request)/1 -Math Order for Machine Learning & Data Science.mp4 79.2 MB
  • 3 - Optimization Techniques/5 -Newton's Method (One Dimension).mp4 76.6 MB
  • 3 - Optimization Techniques/2 -Second Derivative Test in Multiple Dimensions.mp4 73.5 MB
  • 3 - Optimization Techniques/7 -Exercise Newton's Method for Least Squares.mp4 73.0 MB
  • 4 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4 71.6 MB
[磁力链接] 添加时间:2025-07-01 大小:3.0 GB 最近下载:2025-11-03 热度:1656

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:2025-11-04 热度:770

Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)

  • 13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4 283.9 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4 277.3 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4 276.6 MB
  • 13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 174.6 MB
  • 11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
  • 08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4 148.2 MB
  • 08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
  • 06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 131.3 MB
  • 05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
  • 10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4 126.4 MB
  • 08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4 121.8 MB
  • 10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4 116.4 MB
  • 10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4 112.9 MB
  • 02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4 108.4 MB
  • 01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
  • 02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4 100.8 MB
  • 01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4 100.4 MB
  • 10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4 99.7 MB
[磁力链接] 添加时间:2025-06-14 大小:8.4 GB 最近下载:2025-11-03 热度:1097

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:2025-11-04 热度:1088

udemy-complete-machine-learning-and-data-science-zero-to-mastery_202112

  • 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:2025-03-23 大小:23.0 GB 最近下载:2025-10-16 热度:18

[ WebToolTip.com ] Udemy - Data Science And Machine Learning With R - A Complete Masterc

  • ~Get Your Files Here !/2 - What is data science.mp4 87.0 MB
  • ~Get Your Files Here !/50 - Json parsing.mp4 74.1 MB
  • ~Get Your Files Here !/64 - Data preprocessing.mp4 73.0 MB
  • ~Get Your Files Here !/7 - Getting started with r.mp4 71.7 MB
  • ~Get Your Files Here !/68 - Hands on exploratory data analysis.mp4 65.6 MB
  • ~Get Your Files Here !/10 - R tidyverse.mp4 60.4 MB
  • ~Get Your Files Here !/40 - Tidy data.mp4 55.2 MB
  • ~Get Your Files Here !/27 - Intermediate r section intro.mp4 46.6 MB
  • ~Get Your Files Here !/63 - Data preprocessing Intro.mp4 46.5 MB
  • ~Get Your Files Here !/39 - Data manipulation in r section intro.mp4 46.2 MB
  • ~Get Your Files Here !/71 - Logistic regression intro.mp4 46.1 MB
  • ~Get Your Files Here !/51 - Data visualization in r intro.mp4 46.1 MB
  • ~Get Your Files Here !/61 - Intro to machine learning Part 1.mp4 45.9 MB
  • ~Get Your Files Here !/69 - Linear regression a real model intro.mp4 45.7 MB
  • ~Get Your Files Here !/62 - Intro to machine learning Part 2.mp4 45.5 MB
  • ~Get Your Files Here !/65 - Linear regression a simple model Intro.mp4 45.4 MB
  • ~Get Your Files Here !/3 - Machine learning overview.mp4 40.8 MB
  • ~Get Your Files Here !/58 - Intro to r shiny.mp4 37.8 MB
  • ~Get Your Files Here !/67 - Exploratory data analysis intro.mp4 37.7 MB
  • ~Get Your Files Here !/48 - String manipulation.mp4 35.0 MB
[磁力链接] 添加时间:2025-03-13 大小:2.1 GB 最近下载:2025-11-03 热度:1543

[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp

  • 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4 909.9 MB
  • 46 - Dockers For Beginners/009 9-Dockers-Compose.mp4 828.8 MB
  • 62 - Transformers/004 Self Attention Layer Working.mp4 774.0 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4 704.0 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4 676.4 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4 659.4 MB
  • 50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4 652.7 MB
  • 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4 651.8 MB
  • 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4 615.5 MB
  • 62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4 608.2 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4 587.2 MB
  • 38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4 580.5 MB
  • 13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4 580.1 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4 557.1 MB
  • 32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4 547.2 MB
  • 13 - Data Analysis With Python/001 Numpy In Python.mp4 546.0 MB
  • 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4 545.2 MB
  • 25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4 513.5 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4 493.7 MB
  • 23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4 491.8 MB
[磁力链接] 添加时间:2025-01-30 大小:75.8 GB 最近下载:2025-11-03 热度:4163

[ FreeCourseWeb.com ] Udemy - Python, Excel and Machine Learning for Stocks Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Python, Excel and Machine Learning for Stocks Data Science.zip 3.7 GB
[磁力链接] 添加时间:2024-10-28 大小:3.7 GB 最近下载:2025-10-07 热度:697

[ FreeCourseWeb.com ] Udemy - Calculus for Data Science & Machine Learning - 2020.zip

  • [ FreeCourseWeb.com ] Udemy - Calculus for Data Science & Machine Learning - 2020.zip 283.2 MB
[磁力链接] 添加时间:2024-09-02 大小:283.2 MB 最近下载:2025-08-27 热度:84

[Udemy][YouRa Allakhverdov] Data Science и Machine Learning на Python 3 с нуля (2022)

  • Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 5 Задание по линейной регрессии. Решение.mp4 211.7 MB
  • Раздел 17 Decision Trees и Random Forests/[SW.BAND] 4 Решение задания.mp4 202.6 MB
  • Раздел 11 Data Science Final Project/[SW.BAND] 2 Задание US Shootings. Решение.mp4 195.6 MB
  • Раздел 3 Основы Python/[SW.BAND] 8 Форматирование строк в Python.mp4 184.7 MB
  • Раздел 4 Функции Python/[SW.BAND] 3 args _ kwargs.mp4 171.3 MB
  • Раздел 4 Функции Python/[SW.BAND] 2 Создание функций в Python.mp4 165.2 MB
  • Раздел 7 Анализ данных. Библиотека Pandas/[SW.BAND] 10 Input Output.mp4 159.4 MB
  • Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 6 Решение задания.mp4 158.2 MB
  • Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 2 Множество данных “Титаник”. Исследование данных.mp4 156.0 MB
  • Раздел 3 Основы Python/[SW.BAND] 4 Переменные в Python.mp4 154.8 MB
  • Раздел 16 Метод k-ближайших соседей/[SW.BAND] 4 Решение задания.mp4 152.6 MB
  • Раздел 4 Функции Python/[SW.BAND] 4 Лямбда выражения в функциях.mp4 152.4 MB
  • Раздел 9 Визуализация данных. Библиотека Seaborn/[SW.BAND] 2 Dataset Distribution.mp4 147.0 MB
  • Раздел 16 Метод k-ближайших соседей/[SW.BAND] 2 Метод k-ближайших соседей.mp4 146.6 MB
  • Раздел 3 Основы Python/[SW.BAND] 20 Dictionary Comprehension _ Set Comprehension и Nested loops.mp4 141.9 MB
  • Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 3 Линейная регрессия. Создание модели.mp4 135.4 MB
  • Раздел 12 Знакомство с Machine Learning/[SW.BAND] 3 Оценка производительности модели. Классификация.mp4 135.1 MB
  • Раздел 6 Анализ данных. Библиотека NumPy/[SW.BAND] 1 NumPy массивы.mp4 134.8 MB
  • Раздел 8 Визуализация данных. Библиотека Matplotlib/[SW.BAND] 6 Задание по разделу Matplotlib. Решение.mp4 134.1 MB
  • Раздел 10 Визуализация данных. Встроенная визуализация библиотеки Pandas/[SW.BAND] 1 Встроенная визуализация библиотеки Pandas.mp4 133.9 MB
[磁力链接] 添加时间:2024-06-27 大小:8.0 GB 最近下载:2025-06-27 热度:311

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

  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/9 - Access data from an online source and build a model.mp4 95.1 MB
  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/7 - Build a ML Model Using ChatGPT.mp4 82.4 MB
  • ~Get Your Files Here !/6 - Build a ML Model with Google Bard/10 - Build a ML Model with Google Bard.mp4 55.4 MB
  • ~Get Your Files Here !/7 - Prompt Engineering/13 - Prompt engineering in action.mp4 53.4 MB
  • ~Get Your Files Here !/4 - Create a computer program and debug it/6 - Create a computer program and debug it.mp4 51.8 MB
  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/8 - Build a Wordcloud using Streamlit with help from ChatGPT.mp4 45.0 MB
  • ~Get Your Files Here !/3 - Technology Behind ChatGPT/5 - Understanding Transformers and Neural Networks.mp4 35.4 MB
  • ~Get Your Files Here !/3 - Technology Behind ChatGPT/4 - Understanding Large Language Models LLMs and Generative AI.mp4 28.2 MB
  • ~Get Your Files Here !/6 - Build a ML Model with Google Bard/11 - Useful Features in Google Bard.mp4 18.5 MB
  • ~Get Your Files Here !/2 - Getting Started with ChatGPT/2 - Introduction to OpenAI.mp4 18.1 MB
  • ~Get Your Files Here !/7 - Prompt Engineering/12 - What is prompt engineering.mp4 14.9 MB
  • ~Get Your Files Here !/8 - Addressing Data Privacy Issues/14 - Addressing Data Privacy Issues.mp4 11.9 MB
  • ~Get Your Files Here !/2 - Getting Started with ChatGPT/3 - OpenAI Account Setup.mp4 9.5 MB
  • ~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 8.9 MB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
[磁力链接] 添加时间:2024-06-21 大小:528.3 MB 最近下载:2025-11-01 热度:793

[ DevCourseWeb.com ] Udemy - Data Science Case Study - Real-World Machine Learning Project

  • ~Get Your Files Here !/1 - Introduction/1 - Californian House Price Prediction.mp4 625.0 MB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/2 - What is Machine Learning.html 2.7 kB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/4 - Linear Regression in Python.html 2.5 kB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/3 - Short Linear Regression Explanation.html 2.3 kB
  • ~Get Your Files Here !/3 - Bonus Section/5 - Bonus Lecture.html 2.0 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
[磁力链接] 添加时间:2024-05-24 大小:625.0 MB 最近下载:2025-11-02 热度:3509


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