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[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

[ DevCourseWeb.com ] Udemy - Complete Machine Learning Course for Beginners - in Python

  • ~Get Your Files Here !/05 - Supervised learning (Practice)/015 Decision Tree - Practice.mp4 124.1 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/001 Linear regression - Theory.mp4 120.1 MB
  • ~Get Your Files Here !/07 - Project Fake news detection/003 Part 3.mp4 117.2 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/012 SVM - Theory.mp4 110.1 MB
  • ~Get Your Files Here !/07 - Project Fake news detection/001 Part 1.mp4 93.0 MB
  • ~Get Your Files Here !/07 - Project Fake news detection/004 Part 4.mp4 91.8 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/009 Naive Bayes - Practice.mp4 88.0 MB
  • ~Get Your Files Here !/01 - Introduction to machine learning (Theory)/002 Machine learning types.mp4 87.8 MB
  • ~Get Your Files Here !/06 - Unsupervised learning (Practice)/004 Hierachical Clustering - Practice.mp4 87.4 MB
  • ~Get Your Files Here !/07 - Project Fake news detection/002 Part 2.mp4 86.4 MB
  • ~Get Your Files Here !/04 - Machine learning libraries (Practice)/004 Matplotlib - Python.mp4 84.4 MB
  • ~Get Your Files Here !/06 - Unsupervised learning (Practice)/002 Kmeans - Practice.mp4 80.1 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/013 SVM - Practice.mp4 74.1 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/007 KNN - Practice (2).mp4 70.0 MB
  • ~Get Your Files Here !/04 - Machine learning libraries (Practice)/005 Natural language processing (NLP).mp4 69.7 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/006 KNN - Practice.mp4 67.8 MB
  • ~Get Your Files Here !/04 - Machine learning libraries (Practice)/002 Pandas - Python.mp4 64.3 MB
  • ~Get Your Files Here !/05 - Supervised learning (Practice)/008 Naive Bayes - Theory.mp4 63.6 MB
  • ~Get Your Files Here !/04 - Machine learning libraries (Practice)/006 Scikit - Python.mp4 61.0 MB
  • ~Get Your Files Here !/02 - Mathematics in machine learning (Theory)/005 Probability.mp4 60.6 MB
[磁力链接] 添加时间:2022-04-04 大小:2.4 GB 最近下载:2025-10-22 热度:702

Python Machine Learning Bootcamp

  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/023 Text and Categorical Data.mp4 315.6 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/019 Grid and Randomized Search.mp4 297.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/027 Over and Undersampling.mp4 293.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/034 SVM Classification Practical.mp4 278.9 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/020 Handling Missing Values.mp4 268.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/028 Feature Importance.mp4 235.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/033 PCA Practical.mp4 231.7 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/006 Creating and Training a Binary Classifier.mp4 222.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/01 Pre-Machine Learning Steps/006 Data Preparation and Exploration.mp4 194.1 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/007 SGD Regression.mp4 186.2 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/004 Boston Housing Intro.mp4 174.1 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/037 Decision Tree Classifier Theory.mp4 171.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/014 Cross-Validation.mp4 170.7 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/022 Feature Scaling Practical.mp4 169.9 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/031 Multilabel Classification.mp4 160.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/002 Linear Regression Practical.mp4 149.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/033 SVM Theory.mp4 148.2 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/003 Regularized Linear Regression Practical.mp4 147.5 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/050 Gaussian Mixture Practical.mp4 132.5 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/044 KMeans Practical.mp4 132.4 MB
[磁力链接] 添加时间:2022-04-01 大小:9.3 GB 最近下载:2025-10-27 热度:3847

[ DevCourseWeb.com ] Udemy - Machine Learning with Python by Aakash Singh

  • ~Get Your Files Here !/4. data structure/1. list.mp4 81.6 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 64.4 MB
  • ~Get Your Files Here !/4. data structure/2. string.mp4 56.1 MB
  • ~Get Your Files Here !/4. data structure/3. tuple.mp4 55.1 MB
  • ~Get Your Files Here !/3. variables of python/1. variables of python.mp4 18.1 MB
  • ~Get Your Files Here !/2. installation of lab/1. jupyter notebook.mp4 18.0 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:2022-04-01 大小:293.4 MB 最近下载:2025-08-10 热度:1055

[ DevCourseWeb.com ] Udemy - Python for Machine Learning - The Complete Beginner's Course

  • ~Get Your Files Here !/3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
  • ~Get Your Files Here !/4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
  • ~Get Your Files Here !/8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
  • ~Get Your Files Here !/7. Clustering/6. Implementation in python.mp4 19.9 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
  • ~Get Your Files Here !/5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
  • ~Get Your Files Here !/6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
  • ~Get Your Files Here !/8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
  • ~Get Your Files Here !/6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
  • ~Get Your Files Here !/7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
  • ~Get Your Files Here !/7. Clustering/10. Importing the dataset.mp4 13.4 MB
  • ~Get Your Files Here !/8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
  • ~Get Your Files Here !/4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
  • ~Get Your Files Here !/7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
  • ~Get Your Files Here !/8. Recommender System/10. Data pre-processing.mp4 11.3 MB
  • ~Get Your Files Here !/6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB
[磁力链接] 添加时间:2022-03-31 大小:718.6 MB 最近下载:2025-10-26 热度:785

[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

[ CourseHulu.com ] Machine Learning with Python - Practical Application

  • ~Get Your Files Here !/Exercise Files/07/understanding-other-types-of-ml-problems-slides.pdf 32.6 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/03. Getting ML Technical.mp4 31.1 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/02. The Right ML Tool for the Job.mp4 29.2 MB
  • ~Get Your Files Here !/07. Understanding Other Types of ML Problems/35. Final Takeaway.mp4 26.1 MB
  • ~Get Your Files Here !/03. Regression/07. Introduction to Regression Algorithms.mp4 24.4 MB
  • ~Get Your Files Here !/04. Classification/14. Classification Algorithms.mp4 20.3 MB
  • ~Get Your Files Here !/05. Dimensionality Reduction/23. Dimensionality Reduction.mp4 19.7 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/04. Learning Styles and Algorithm Types.mp4 19.5 MB
  • ~Get Your Files Here !/06. Clustering/28. Clustering Algorithms.mp4 18.4 MB
  • ~Get Your Files Here !/04. Classification/15. Logistic Regression.mp4 16.9 MB
  • ~Get Your Files Here !/04. Classification/20. Neural Networks.mp4 16.2 MB
  • ~Get Your Files Here !/Exercise Files/03/regression-slides.pdf 15.9 MB
  • ~Get Your Files Here !/02. Getting Your Hands Dirty with Machine Learning/05. Platforms and Libraries.mp4 14.6 MB
  • ~Get Your Files Here !/04. Classification/16. Naive Bayes.mp4 13.6 MB
  • ~Get Your Files Here !/Exercise Files/05/dimensionality-reduction-slides.pdf 13.1 MB
  • ~Get Your Files Here !/04. Classification/21. Convolutional Neural Networks.mp4 12.7 MB
  • ~Get Your Files Here !/07. Understanding Other Types of ML Problems/34. Other Types of Machine Learning Algorithms.mp4 12.4 MB
  • ~Get Your Files Here !/03. Regression/08. Linear Regression.mp4 12.0 MB
  • ~Get Your Files Here !/04. Classification/19. Decision Trees and Random Forests.mp4 11.7 MB
  • ~Get Your Files Here !/06. Clustering/29. K Means.mp4 10.5 MB
[磁力链接] 添加时间:2022-03-30 大小:485.4 MB 最近下载:2025-10-25 热度:1353

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.srt 49.5 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • 4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • 3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • 4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-03-29 大小:4.4 GB 最近下载:2025-10-28 热度:1969

[FreeCourseSite.com] Udemy - Python for Machine Learning The Complete Beginner's Course

  • 3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
  • 4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
  • 8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
  • 7. Clustering/6. Implementation in python.mp4 19.9 MB
  • 3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
  • 5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
  • 1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
  • 6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
  • 3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
  • 8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
  • 2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
  • 6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
  • 7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
  • 7. Clustering/10. Importing the dataset.mp4 13.4 MB
  • 8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
  • 4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
  • 7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
  • 3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
  • 8. Recommender System/10. Data pre-processing.mp4 11.3 MB
  • 6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB
[磁力链接] 添加时间:2022-03-24 大小:718.6 MB 最近下载:2025-06-20 热度:1234

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

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-03-22 大小:3.3 GB 最近下载:2025-10-06 热度:858

[ FreeCourseWeb.com ] Python required for Data Science and Machine Learning 2020.zip

  • [ FreeCourseWeb.com ] Python required for Data Science and Machine Learning 2020.zip 736.8 MB
[磁力链接] 添加时间:2022-03-21 大小:736.8 MB 最近下载:2025-06-07 热度:404

[ CourseWikia.com ] Udemy - Deep Learning And Neural Networks With Python By Spotle.zip

  • [ CourseWikia.com ] Udemy - Deep Learning And Neural Networks With Python By Spotle.zip 1.1 GB
[磁力链接] 添加时间:2022-03-21 大小:1.1 GB 最近下载:2025-10-24 热度:1210

Deep Learning with Python, Second Edition, Video Edition

  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/03-Chapter 1 Understanding how deep learning works, in three figures.mp4 107.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/49-Chapter 9 Advanced deep learning for computer vision.mp4 104.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/33-Chapter 6 Collect a dataset.mp4 89.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/96-Chapter 14 Lifelong learning and modular subroutine reuse.mp4 88.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/02-Chapter 1 Learning rules and representations from data.mp4 87.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/04-Chapter 1 Before deep learning - A brief history of machine learning.mp4 86.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/74-Chapter 12 How do you generate sequence data.mp4 85.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/86-Chapter 14 Conclusions.mp4 85.1 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/77-Chapter 12 Neural style transfer.mp4 84.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/73-Chapter 12 Generative deep learning.mp4 84.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/27-Chapter 5 The nature of generalization in deep learning.mp4 84.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/66-Chapter 11 Two approaches for representing groups of words - Sets and sequences.mp4 83.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/71-Chapter 11 Beyond text classification - Sequence-to-sequence learning.mp4 83.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/36-Chapter 6 Deploy the model.mp4 82.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/05-Chapter 1 Back to neural networks.mp4 81.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/01-Chapter 1 What is deep learning.mp4 80.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/79-Chapter 12 Implementing a VAE with Keras.mp4 79.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/82-Chapter 13 Hyperparameter optimization.mp4 78.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/44-Chapter 8 The convolution operation.mp4 78.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/55-Chapter 9 Visualizing heatmaps of class activation.mp4 77.9 MB
[磁力链接] 添加时间:2022-03-20 大小:6.2 GB 最近下载:2025-10-27 热度:4003

[ FreeCourseWeb.com ] Machine learning with python [Data Science] - Udemy

  • ~Get Your Files Here !/8. List/1. List.mp4 81.6 MB
  • ~Get Your Files Here !/11. Understanding of Functions/1. Function intro.mp4 80.1 MB
  • ~Get Your Files Here !/17. HOW MACHINE LEARNS/1. How Machine learns.mp4 77.6 MB
  • ~Get Your Files Here !/16. Project 1/1. Project.mp4 74.7 MB
  • ~Get Your Files Here !/19. Data visualization/1. Data visualization.mp4 70.3 MB
  • ~Get Your Files Here !/14. File handling/1. File handling intro.mp4 69.4 MB
  • ~Get Your Files Here !/15. oop concept/1. oop concept intro.mp4 66.0 MB
  • ~Get Your Files Here !/13. Exceptional Handling/1. Exceptional Handling Intro.mp4 63.8 MB
  • ~Get Your Files Here !/14. File handling/2. File handling code.mp4 62.6 MB
  • ~Get Your Files Here !/15. oop concept/4. Inheritance.mp4 57.8 MB
  • ~Get Your Files Here !/11. Understanding of Functions/2. Function code.mp4 57.4 MB
  • ~Get Your Files Here !/18. Introduction to pandas/1. pandas.mp4 56.2 MB
  • ~Get Your Files Here !/7. String/1. String.mp4 56.1 MB
  • ~Get Your Files Here !/9. Tuple/1. Tuple.mp4 55.1 MB
  • ~Get Your Files Here !/25. Naive Bayes/1. Naive Bayes theory.mp4 53.6 MB
  • ~Get Your Files Here !/10. Dictonary/1. Dictonary.mp4 50.9 MB
  • ~Get Your Files Here !/1. Python for Data science and ML/1. Introduction.mp4 49.8 MB
  • ~Get Your Files Here !/23. KNN/2. Knn Code.mp4 48.0 MB
  • ~Get Your Files Here !/5. Understanding the concepts of Loops/1. Loops.mp4 46.7 MB
  • ~Get Your Files Here !/22. LOGISTIC REGRESSION/2. Logistic Regression Code.mp4 46.7 MB
[磁力链接] 添加时间:2022-03-20 大小:1.9 GB 最近下载:2025-06-21 热度:593

[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:7098

Modern Deep Learning in Python

  • [TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.8 MB
  • [TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 247.8 MB
  • [TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.4 MB
  • [TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
  • [TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
  • [TutsNode.com] - Modern Deep Learning in Python/2. Review/6. Review Code (pt 2).mp4 133.0 MB
  • [TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 115.9 MB
  • [TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
  • [TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 106.9 MB
  • [TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 101.8 MB
  • [TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 100.9 MB
  • [TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
  • [TutsNode.com] - Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 87.9 MB
  • [TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 80.0 MB
  • [TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/3. Grid Search in Code.mp4 71.8 MB
  • [TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 69.7 MB
  • [TutsNode.com] - Modern Deep Learning in Python/7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 68.5 MB
  • [TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
  • [TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 60.4 MB
  • [TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 57.8 MB
[磁力链接] 添加时间:2022-03-19 大小:4.0 GB 最近下载:2025-10-21 热度:1907

[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
  • 22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
  • 19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
  • 19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
  • 07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
  • 19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
  • 09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
  • 16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
  • 18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
  • 08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
  • 23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
  • 07 ANNs/009 Learning rates comparison.mp4 176.8 MB
  • 12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
  • 11 FFNs/003 FFN to classify digits.mp4 169.7 MB
  • 16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
  • 07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
  • 12 More on data/007 Data feature augmentation.mp4 166.0 MB
  • 21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
  • 14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
  • 21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB
[磁力链接] 添加时间:2022-03-18 大小:22.7 GB 最近下载:2025-10-25 热度:212

[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

  • 10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/2. Where does this course fit into your deep learning studies.mp4 56.7 MB
  • 5. Training a neural network/8. Backpropagation in code.mp4 48.6 MB
  • 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.4 MB
  • 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 2. Review/4. Neuron Training.mp4 40.4 MB
  • 10. Appendix/15. What order should I take your courses in (part 2).mp4 39.4 MB
  • 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB
  • 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 31.8 MB
  • 10. Appendix/14. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Review/2. What does machine learning do.mp4 26.9 MB
  • 6. Practical Machine Learning/4. Neural Networks for Regression.mp4 26.6 MB
  • 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 26.4 MB
  • 10. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 2. Review/3. Neuron Predictions.mp4 25.6 MB
  • 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 24.6 MB
  • 1. Welcome/3. Where to get the code.mp4 24.5 MB
  • 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 23.9 MB
[磁力链接] 添加时间:2022-03-18 大小:1.5 GB 最近下载:2025-02-23 热度:174

[ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python

  • ~Get Your Files Here !/9781801819312_Code/git/objects/pack/pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.pack 164.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch08/movie_data.csv 65.9 MB
  • ~Get Your Files Here !/9781801819312.epub 63.5 MB
  • ~Get Your Files Here !/9781801819312-MACHINELEARNINGWITHPYTORCHANDSCIKITLEARN.pdf 30.7 MB
  • ~Get Your Files Here !/9781801819312_Code/ch18/ch18_part1.ipynb 11.8 MB
  • ~Get Your Files Here !/9781801819312_Code/ch17/ch17_part1.ipynb 7.4 MB
  • ~Get Your Files Here !/9781801819312_Code/ch16/ch16-part2-gpt2.ipynb 7.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch16/ch16-part1-self-attention.ipynb 6.1 MB
  • ~Get Your Files Here !/9781801819312_Code/ch01/ch01.ipynb 6.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch19/ch19.ipynb 5.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch11/ch11.ipynb 5.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch03/ch03.ipynb 3.7 MB
  • ~Get Your Files Here !/9781801819312_Code/ch07/ch07.ipynb 3.6 MB
  • ~Get Your Files Here !/9781801819312_Code/ch06/ch06.ipynb 3.2 MB
  • ~Get Your Files Here !/9781801819312_Code/ch02/ch02.ipynb 3.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch14/ch14_part2.ipynb 2.7 MB
  • ~Get Your Files Here !/9781801819312_Code/ch17/ch17_part2.ipynb 2.6 MB
  • ~Get Your Files Here !/9781801819312_Code/ch18/ch18_part2.ipynb 2.6 MB
  • ~Get Your Files Here !/9781801819312_Code/ch17/figures/17_02.png 2.3 MB
  • ~Get Your Files Here !/9781801819312_Code/ch04/ch04.ipynb 2.1 MB
[磁力链接] 添加时间:2022-03-16 大小:484.0 MB 最近下载:2025-10-27 热度:5916


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