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Machine Learning, Data Science and Deep Learning with Python

  • Machine Learning, Data Science and Deep Learning with Python.zip 7.9 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2022-01-10 大小:7.9 GB 最近下载:2025-10-26 热度:2008

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
  • 23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
  • 23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2022-01-11 大小:14.1 GB 最近下载:2025-10-25 热度:2367

[Udemy] Machine Learning in Python with 5 Machine Learning Projects (04.2021)

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-01-12 大小:22.4 GB 最近下载:2025-10-24 热度:2986

Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/002 Project - 2.mp4 177.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/001 Project - 1.mp4 106.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/16 Projects/003 Project - 3.mp4 86.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-01-14 大小:4.9 GB 最近下载:2025-10-25 热度:4466

[UdemyCourseDownloader] Python 3 Bootcamp Deep learning into Python 3 with GUIs

  • 23. Example Python GUI projects (Part 2)/1. Application for calculation of an Area of a Circle in Python GUI.mp4 112.4 MB
  • 23. Example Python GUI projects (Part 2)/3. Application for calculation of an Area of a Triangle in Python GUI.mp4 111.1 MB
  • 23. Example Python GUI projects (Part 2)/2. Application for calculation of an Area of a Rectangle in Python GUI.mp4 107.6 MB
  • 03. Programming with PyCharm/1. Download and Installation of PyCharm.mp4 91.2 MB
  • 07. Functions and Modules/3. User define functions.mp4 88.5 MB
  • 20. RadioButtons in Python GUI/3. How to add more functionality to RadioButton.mp4 87.7 MB
  • 07. Functions and Modules/5. Round up of Functions and Modules.mp4 86.4 MB
  • 06. Sequences in Python/1. List [ ] in Python.mp4 85.5 MB
  • 05. Loop systems in Python/5. String properties in Python.mp4 69.2 MB
  • 07. Functions and Modules/7. Example of Time module.mp4 65.8 MB
  • 03. Programming with PyCharm/2. How to use PyCharm for Python programming.mp4 63.5 MB
  • 22. Data Entry/2. How to delete an entry in Data Entry block.mp4 60.1 MB
  • 20. RadioButtons in Python GUI/1. RadioButtons in GUI.mp4 58.4 MB
  • 20. RadioButtons in Python GUI/2. More on RadioButtons.mp4 56.0 MB
  • 21. Checkboxes in Python/2. How to get the values of Checkboxes.mp4 54.9 MB
  • 21. Checkboxes in Python/3. How to print out selected items from checkbox.mp4 53.4 MB
  • 05. Loop systems in Python/1. for loop in Python.mp4 51.5 MB
  • 01. Programming with Python Shell/4. How to prevent auto-close in Python Shell.mp4 49.8 MB
  • 25. Graphics Designs and Images in Python GUI/1. How to make graphics design in Python GUI.mp4 49.7 MB
  • 22. Data Entry/1. How to create data entry blocks.mp4 49.2 MB
[磁力链接] 添加时间:2022-01-16 大小:2.9 GB 最近下载:2025-09-10 热度:96

[ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip

  • [ DevCourseWeb.com ] Deep Learning for Beginners - A beginner's guide to getting up and running with deep learning from scratch using Python.zip 238.4 MB
[磁力链接] 添加时间:2022-01-18 大小:238.4 MB 最近下载:2025-10-26 热度:1444

[FreeCourseSite.com] Udemy - Machine Learning in Python with 5 Machine Learning Projects

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-01-20 大小:22.4 GB 最近下载:2025-10-22 热度:1127

[ TutPig.com ] Udemy - Learning Path - Python - Design and Architect Python Apps.zip

  • [ TutPig.com ] Udemy - Learning Path - Python - Design and Architect Python Apps.zip 489.4 MB
[磁力链接] 添加时间:2022-01-23 大小:489.4 MB 最近下载:2025-10-13 热度:408

[UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python

  • 06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4 66.6 MB
  • 05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4 66.3 MB
  • 07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4 63.1 MB
  • 06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4 56.7 MB
  • 10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4 56.3 MB
  • 06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4 55.9 MB
  • 03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 52.4 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 52.2 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 52.0 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 51.7 MB
  • 10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4 51.4 MB
  • 05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4 50.8 MB
  • 04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4 50.1 MB
  • 07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 48.1 MB
  • 05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4 48.1 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/011 [Activity] Variation and Standard Deviation.mp4 47.8 MB
  • 12 You made it!/088 More to Explore.mp4 47.3 MB
  • 05 Recommender Systems/040 [Activity] Improving the Results of Movie Similarities.mp4 46.1 MB
  • 01 Getting Started/004 Python Basics_ Part 1.mp4 46.1 MB
  • 01 Getting Started/007 Introducing the Pandas Library.mp4 45.4 MB
[磁力链接] 添加时间:2022-02-22 大小:2.5 GB 最近下载:2025-10-18 热度:466

[UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python

  • 17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
  • 02. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
  • 08. Decision Trees/3. Decision trees introduction - information gain.mp4 49.2 MB
  • 03. Linear Regression/2. Linear regression theory - optimization.mp4 44.3 MB
  • 12. Neural Networks/29. Neural network example II - iris dataset.mp4 37.3 MB
  • 03. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
  • 12. Neural Networks/12. Optimization - cost function.mp4 27.2 MB
  • 06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4 24.5 MB
  • 06. Naive Bayes Classifier/5. Text clustering - basics.mp4 23.2 MB
  • 19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
  • 07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4 22.7 MB
  • 04. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 22.4 MB
  • 14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4 22.0 MB
  • 07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4 21.8 MB
  • 12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
  • 18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4 20.6 MB
  • 12. Neural Networks/13. Simplified feedforward network.mp4 20.4 MB
  • 08. Decision Trees/2. Decision trees introduction - entropy.mp4 20.2 MB
  • 12. Neural Networks/2. Axons and neurons in the human brain.mp4 20.2 MB
  • 11. Clustering/6. K-means clustering - text clustering.mp4 19.8 MB
[磁力链接] 添加时间:2022-02-26 大小:2.0 GB 最近下载:2025-08-05 热度:268

[UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python

  • 08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp4 92.5 MB
  • 08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp4 90.0 MB
  • 06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4 66.6 MB
  • 05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4 66.3 MB
  • 08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp4 65.9 MB
  • 07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4 63.1 MB
  • 08 Apache Spark_ Machine Learning on Big Data/064 [Activity] Searching Wikipedia with Spark.mp4 62.7 MB
  • 06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie.mp4 62.1 MB
  • 06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4 56.7 MB
  • 10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4 56.3 MB
  • 06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4 55.9 MB
  • 03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 52.4 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 52.2 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 52.0 MB
  • 02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 51.7 MB
  • 10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4 51.4 MB
  • 05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4 50.8 MB
  • 04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4 50.1 MB
  • 07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 48.1 MB
  • 05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4 48.1 MB
[磁力链接] 添加时间:2022-02-27 大小:3.3 GB 最近下载:2025-06-29 热度:340

[Tutorialsplanet.NET] Udemy - Machine Learning in Python with 5 Machine Learning Projects

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-03-08 大小:22.4 GB 最近下载:2025-10-15 热度:60

Machine Learning, Data Science and Deep Learning with Python

  • Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
  • Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
  • Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
  • Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
  • Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
  • Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
  • Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
  • Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
  • Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
  • Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
  • Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
  • Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
  • Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
  • Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
[磁力链接] 添加时间:2022-03-09 大小:8.0 GB 最近下载:2025-10-25 热度:800

[ FreeCourseWeb.com ] Python Bootcamp - Hands-on Python Learning (8 - 2020).zip

  • [ FreeCourseWeb.com ] Python Bootcamp - Hands-on Python Learning (8 - 2020).zip 2.2 GB
[磁力链接] 添加时间:2022-03-12 大小:2.2 GB 最近下载:2025-09-14 热度:966

[ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning & Deep Learning in Python.zip

  • [ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning & Deep Learning in Python.zip 1.7 GB
[磁力链接] 添加时间:2022-03-14 大小:1.7 GB 最近下载:2025-10-12 热度:884

[Udemy] Python Programming Machine Learning, Deep Learning (05.2021)

  • 11. Projects/2. Project - 2.mp4 177.5 MB
  • 6. Machine Learning/15. Choosing the right algorithm and model.mp4 155.7 MB
  • 5. Numpy Library/8. Using Numpy in Linear Algebra.mp4 117.6 MB
  • 11. Projects/1. Project - 1.mp4 106.5 MB
  • 6. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 10. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
  • 6. Machine Learning/16. Training and testing the model.mp4 88.1 MB
  • 11. Projects/3. Project - 3.mp4 86.3 MB
  • 7. Artificial Neural Network/3. Creating a Simple ANN.mp4 83.3 MB
  • 5. Numpy Library/5. Numpy Functions.mp4 82.3 MB
  • 5. Numpy Library/7. Numpy Exercises.mp4 77.8 MB
  • 8. Convolutional Neural Network (CNN)/1. What is CNN.mp4 75.9 MB
  • 11. Projects/4. Project - 4.mp4 75.8 MB
  • 6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 73.7 MB
  • 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
  • 7. Artificial Neural Network/8. What is TensorFlow.mp4 65.6 MB
  • 7. Artificial Neural Network/4. Tensor Operations.mp4 65.1 MB
  • 4. Object Oriented Programming/5. Overriding and Overloading.mp4 61.7 MB
  • 6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 58.8 MB
  • 6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 58.1 MB
[磁力链接] 添加时间:2022-03-19 大小:3.0 GB 最近下载:2025-10-27 热度:7096

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
  • 23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
  • 23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2022-03-31 大小:14.1 GB 最近下载:2025-10-23 热度:3031

[GigaCourse.Com] Udemy - Machine Learning in Python with 5 Machine Learning Projects

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-04-06 大小:22.4 GB 最近下载:2025-10-04 热度:2203

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • 16 Projects/002 Project - 2.mp4 177.5 MB
  • 11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
  • 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
  • 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
  • 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
  • 16 Projects/001 Project - 1.mp4 106.5 MB
  • 09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
  • 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
  • 15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
  • 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
  • 11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
  • 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
  • 16 Projects/003 Project - 3.mp4 86.3 MB
  • 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
  • 12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
  • 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
  • 05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
  • 10 Geoplotlib/003 Example - 2.mp4 80.0 MB
  • 05 Numpy Library/007 Numpy Exercises.mp4 77.8 MB
  • 13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 75.9 MB
[磁力链接] 添加时间:2022-04-08 大小:4.9 GB 最近下载:2025-10-17 热度:2359

[FreeCourseSite.com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

  • 54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
  • 33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
  • 45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
  • 05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
  • 19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
  • 09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
  • 35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
  • 40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
  • 46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
  • 45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
  • 38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
  • 16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
  • 43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
  • 26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
  • 06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
  • 25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
  • 25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
  • 42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
  • 31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
  • 42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB
[磁力链接] 添加时间:2022-04-13 大小:7.6 GB 最近下载:2025-10-24 热度:2540


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