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[GigaCourse.Com] Udemy - Build 30 Real World Data Science & Machine Learning Projects

  • 4. Project-2 Costa Rican household poverty prediction/2. Data preprocessing and feature engineering.mp4 217.3 MB
  • 11. Project-9 Apparent temperature prediction/3. Model building part1.mp4 208.1 MB
  • 6. Project-4 Car price prediction/3. Creating and hypertunning model.mp4 198.1 MB
  • 22. Project-20 Vaccination for justified user system using NLP/2. Importing data and libraries.mp4 192.1 MB
  • 19. Project-17 Amazon Alexa Review system/2. Importing libraries and data.mp4 184.5 MB
  • 10. Project-8 Predicting Hotel Booking/2. Data preprocessing, EDA.mp4 184.2 MB
  • 4. Project-2 Costa Rican household poverty prediction/3. Creating models.mp4 159.6 MB
  • 9. Project-7 Predicting employee attrition/3. Feature selection and model building.mp4 158.0 MB
  • 21. Project-19 IMDB Movie Review system/3. Data Visualization.mp4 154.0 MB
  • 12. Project-10 Consumer Complaint classification/3. Model building.mp4 150.2 MB
  • 8. Project-6 Loan Prediction Analysis/4. Hypertuning models.mp4 149.4 MB
  • 19. Project-17 Amazon Alexa Review system/3. EDA.mp4 145.2 MB
  • 22. Project-20 Vaccination for justified user system using NLP/3. data preprocessing.mp4 143.9 MB
  • 28. Project-26 E-signing of loan based on financial history/5. feature engineering.mp4 143.1 MB
  • 3. Project-1 Image Caption Bot/6.1 Image caption Code and Model Files.zip 141.7 MB
  • 29. Project-27 Mutual fund project/5. Understanding various parameters.mp4 140.0 MB
  • 22. Project-20 Vaccination for justified user system using NLP/4. data visualization.mp4 138.8 MB
  • 28. Project-26 E-signing of loan based on financial history/2. loading data and EDA.mp4 137.2 MB
  • 26. Project-24 Mortality prediction in ICU using ANN/5. model building.mp4 135.1 MB
  • 23. Project-21 Blood donation analysis/4. model building.mp4 133.9 MB
[磁力链接] 添加时间:2022-03-30 大小:11.7 GB 最近下载:2025-11-05 热度:2787

[Tutorialsplanet.NET] Udemy - Python for Data Science & Machine Learning from A-Z

  • 19. PCA/7. PCA - Image Compression.mp4 262.1 MB
  • 16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
  • 15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
  • 14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
  • 15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
  • 19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
  • 1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
  • 1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
  • 17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
  • 15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
  • 15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
  • 19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
  • 15. Decision Trees/13. Pruning.mp4 118.5 MB
  • 17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
  • 13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
  • 18. K-means/3. Representing Clusters.mp4 114.9 MB
  • 3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
  • 17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
  • 18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
  • 9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
[磁力链接] 添加时间:2022-04-10 大小:7.9 GB 最近下载:2025-10-05 热度:295

[ DevCourseWeb.com ] Udemy - Kaggle - Get The Best Data Science, Machine Learning Profile

  • ~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 188.2 MB
  • ~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 183.4 MB
  • ~Get Your Files Here !/4. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 155.7 MB
  • ~Get Your Files Here !/3. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 128.5 MB
  • ~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.mp4 128.3 MB
  • ~Get Your Files Here !/1. First Contact with Kaggle/4. Getting to Know the Kaggle Homepage.mp4 117.9 MB
  • ~Get Your Files Here !/6. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 104.1 MB
  • ~Get Your Files Here !/4. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 102.7 MB
  • ~Get Your Files Here !/7. Details on Kaggle/1. User Page Review on Kaggle.mp4 78.4 MB
  • ~Get Your Files Here !/4. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.mp4 77.0 MB
  • ~Get Your Files Here !/7. Details on Kaggle/2. Treasure in The Kaggle.mp4 73.1 MB
  • ~Get Your Files Here !/7. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp4 58.2 MB
  • ~Get Your Files Here !/6. Other Most Used Options on Kaggle/1. Courses in Kaggle.mp4 50.3 MB
  • ~Get Your Files Here !/1. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp4 42.5 MB
  • ~Get Your Files Here !/6. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.mp4 40.7 MB
  • ~Get Your Files Here !/5. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp4 39.6 MB
  • ~Get Your Files Here !/7. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp4 37.1 MB
  • ~Get Your Files Here !/1. First Contact with Kaggle/1. What is Kaggle.mp4.jpg 171.2 kB
  • ~Get Your Files Here !/2. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.srt 31.6 kB
  • ~Get Your Files Here !/2. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.srt 30.7 kB
[磁力链接] 添加时间:2022-05-08 大小:1.6 GB 最近下载:2025-11-04 热度:716

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

  • 42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • 42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • 41. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.8 MB
  • 1. Installations/5. Installing Anaconda Distribution for Linux.mp4 120.3 MB
  • 21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • 27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.0 MB
  • 25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • 22. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 14. 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:2023-12-17 大小:11.3 GB 最近下载:2025-11-06 热度:5716

GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
  • 12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
  • 03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
  • 12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
  • 11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
  • 12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
  • 12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
  • 12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
  • 12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
  • 03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB
[磁力链接] 添加时间:2023-12-20 大小:13.5 GB 最近下载:2025-11-01 热度:1805

[ DevCourseWeb.com ] Udemy - Mastering Data Science, Machine Learning, and AI

  • ~Get Your Files Here !/10. Ethics and Bias in AI/1. The impact of AI on society and ethics.mp4 29.7 MB
  • ~Get Your Files Here !/11. Conclusion/2. Opportunities and challenges in data science, machine learning, and AI.mp4 29.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/2. The process of data science and its different stages.mp4 28.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/3. Different fields that use data science and examples of real-world applications.mp4 27.7 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/2. Types of artificial intelligence and their applications.mp4 27.0 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/4. Overview of the tools and techniques used in data science.mp4 26.3 MB
  • ~Get Your Files Here !/4. Statistical Modeling/1. Overview of statistics and probability.mp4 26.3 MB
  • ~Get Your Files Here !/5. Machine Learning/2. Different types of machine learning algorithms.mp4 25.6 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/1. Sources of data and methods of collecting data.mp4 24.6 MB
  • ~Get Your Files Here !/11. Conclusion/3. Suggestions for further learning and resources.mp4 24.3 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/1. Univariate and multivariate analysis.mp4 23.9 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/3. Identifying relationships and patterns in data.mp4 23.2 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/2. Understanding and cleaning data.mp4 22.9 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/4. Feature engineering and selection.mp4 21.7 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/2. Dimensionality reduction.mp4 20.5 MB
  • ~Get Your Files Here !/8. Reinforcement Learning/3. Policy gradient methods.mp4 20.2 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/1. Definition and history of artificial intelligence.mp4 19.6 MB
  • ~Get Your Files Here !/4. Statistical Modeling/4. Model evaluation and selection.mp4 19.4 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/2. Data visualization techniques.mp4 19.2 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/3. Anomaly detection.mp4 19.0 MB
[磁力链接] 添加时间:2024-01-26 大小:768.0 MB 最近下载:2025-11-02 热度:780

[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:3449

[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
  • 12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
  • 03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
  • 12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
  • 11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
  • 12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
  • 12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
  • 12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
  • 12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
  • 03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB
[磁力链接] 添加时间:2024-04-09 大小:13.5 GB 最近下载:2025-10-29 热度:4212

[ 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

[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:2025-11-06 热度:4194

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:2025-11-06 热度:794

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:2025-11-05 热度:1659

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:2025-11-06 热度:481

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

[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:2025-11-06 热度:1938

Udemy - Data Science and Machine Learning with Python

  • Udemy - Data Science and Machine Learning with Python/spark-2.2.0-bin-hadoop2.7.tar 203.7 MB
  • Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/006 Activity Decision Trees in Spark.mp4 92.5 MB
  • Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/002 Activity Installing Spark - Part 2.mp4 85.6 MB
  • Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/006 Reinforcement Learning.mp4 66.6 MB
  • Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/005 Activity Making Movie Recommendations to People.mp4 66.3 MB
  • Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/007 Activity K-Means Clustering in Spark.mp4 65.9 MB
  • Udemy - Data Science and Machine Learning with Python/07 Dealing with Real-World Data(45)/004 Activity Cleaning web log data.mp4 63.1 MB
  • Udemy - Data Science and Machine Learning with Python/08 Apache Spark Machine Learning on Big Data(81)/009 Activity Searching Wikipedia with Spark.mp4 62.7 MB
  • Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/002 Activity Using KNN to predict a rating for a movie.mp4 62.1 MB
  • Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/005 Data Warehousing Overview ETL and ELT.mp4 56.7 MB
  • Udemy - Data Science and Machine Learning with Python/06 More Data Mining and Machine Learning Techniques(64)/004 Activity PCA Example with the Iris data set.mp4 55.9 MB
  • Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/010 Exercise Conditional Probability.mp4 55.4 MB
  • Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/009 Activity Covariance and Correlation.mp4 52.2 MB
  • Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/008 Activity A Crash Course in matplotlib.mp4 51.7 MB
  • Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/003 Activity Finding Movie Similarities.mp4 50.8 MB
  • Udemy - Data Science and Machine Learning with Python/04 Machine Learning with Python(77)/001 Supervised vs. Unsupervised Learning, and TrainTest.mp4 50.1 MB
  • Udemy - Data Science and Machine Learning with Python/07 Dealing with Real-World Data(45)/002 Activity K-Fold Cross-Validation to avoid overfitting.mp4 48.1 MB
  • Udemy - Data Science and Machine Learning with Python/05 Recommender Systems(49)/006 Exercise Improve the recommenders results.mp4 48.1 MB
  • Udemy - Data Science and Machine Learning with Python/02 Statistics and Probability Refresher, and Python Practise(99)/004 Activity Variation and Standard Deviation.mp4 47.8 MB
  • Udemy - Data Science and Machine Learning with Python/10 You made it(5)/001 More to Explore.mp4 47.3 MB
[磁力链接] 添加时间:2018-03-14 大小:3.0 GB 最近下载:2025-05-24 热度:168

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

  • 1. Course Introduction/4. Course FAQ.html 1.5 kB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/Lesson_1._Introduction_to_Course.mp4 13.0 MB
  • 1. Course Introduction/Lesson_2._Course_Curriculum.mp4 6.0 MB
  • 1. Course Introduction/Lesson_3._What_is_Data_Science_.mp4 7.4 MB
  • 10. R Lists/Lesson_35._List_Basics.mp4 20.5 MB
  • 11. Data Input and Output with R/Lesson_36._Introduction_to_Data_Input_and_Output_with_R.mp4 890.6 kB
  • 11. Data Input and Output with R/Lesson_37._CSV_Files_with_R.mp4 12.8 MB
  • 11. Data Input and Output with R/Lesson_38._Excel_Files_with_R.mp4 25.3 MB
  • 11. Data Input and Output with R/Lesson_39._SQL_with_R.mp4 26.7 MB
  • 11. Data Input and Output with R/Lesson_40._Web_Scraping_with_R.mp4 18.3 MB
  • 12. R Programming Basics/Lesson_41._Introduction_to_Programming_Basics.mp4 1.8 MB
  • 12. R Programming Basics/Lesson_42._Logical_Operators.mp4 15.2 MB
  • 12. R Programming Basics/Lesson_43._if,_else,_and_else_if_Statements.mp4 27.2 MB
  • 12. R Programming Basics/Lesson_44._Conditional_Statements_Training_Exercise.mp4 3.6 MB
  • 12. R Programming Basics/Lesson_45._Conditional_Statements_Training_Exercise_-_Solutions_Walkthrough.mp4 22.1 MB
  • 12. R Programming Basics/Lesson_46._While_Loops.mp4 12.6 MB
  • 12. R Programming Basics/Lesson_47._For_Loops.mp4 24.2 MB
  • 12. R Programming Basics/Lesson_48._Functions.mp4 36.8 MB
  • 12. R Programming Basics/Lesson_49._Functions_Training_Exercise.mp4 7.0 MB
[磁力链接] 添加时间:2018-08-03 大小:2.6 GB 最近下载:2025-05-23 热度:127

[DesireCourse.Com] Udemy - Introduction to Machine Learning for Data Science

  • [DesireCourse.Com] Udemy - Introduction to Machine Learning for Data Science.zip 2.6 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-12-06 大小:2.6 GB 最近下载:2025-11-03 热度:2833

[DesireCourse.Net] Udemy - Beginning with Machine Learning & Data Science in Python

  • 2. Understanding Data Wrangling/7. Cleaning Messy Data.mp4 33.6 MB
  • 2. Understanding Data Wrangling/3. Selecting data and finding the most common complaint type.mp4 26.3 MB
  • 6. Regularization/6. Regularization using scikit-learn.mp4 24.0 MB
  • 3. Linear Regression/5. Simple Linear Regression.mp4 23.0 MB
  • 2. Understanding Data Wrangling/6. Which month was the snowiest.mp4 21.4 MB
  • 3. Linear Regression/11. Handling categorical features.mp4 20.8 MB
  • 2. Understanding Data Wrangling/4. Which borough has the most noise complaints.mp4 20.4 MB
  • 1. Working with Machine Learning/5. Python and Jupyter Demo.mp4 18.5 MB
  • 2. Understanding Data Wrangling/5. Which weekday do people bike the most.mp4 17.8 MB
  • 6. Regularization/4. Regularizing linear models.mp4 17.7 MB
  • 2. Understanding Data Wrangling/8. How to deal with timestamps.mp4 17.2 MB
  • 4. Logistic Regression/8. Interpreting logistic regression.mp4 17.1 MB
  • 2. Understanding Data Wrangling/2. Reading from a CSV.mp4 16.8 MB
  • 5. Cross Validation/4. Cross-validation continued.mp4 16.7 MB
  • 4. Logistic Regression/4. Predicting a categorical response.mp4 16.5 MB
  • 3. Linear Regression/8. Multiple linear regression.mp4 16.1 MB
  • 4. Logistic Regression/6. Probability, odds, log-odds.mp4 15.8 MB
  • 2. Understanding Data Wrangling/9. Loading data from SQL databases.mp4 14.1 MB
  • 6. Regularization/8. Pipeline and GridSearchCV.mp4 13.2 MB
  • 6. Regularization/3. Overfitting with linear models.mp4 13.1 MB
[磁力链接] 添加时间:2021-03-06 大小:569.1 MB 最近下载:2024-09-21 热度:785

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

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-03-09 大小:2.6 GB 最近下载:2025-09-29 热度:743


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