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[DesireCourse.Net] Udemy - Python required for Data Science and Machine Learning 2020

  • 6. Python Basics V/2. Topic 2.mp4 83.6 MB
  • 8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
  • 6. Python Basics V/1. Topic 1.mp4 63.6 MB
  • 3. Python Basics II/4. Topic 4.mp4 48.7 MB
  • 7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
  • 5. Python Basics IV/1. Topic 1.mp4 34.9 MB
  • 5. Python Basics IV/4. Topic 4.mp4 32.9 MB
  • 3. Python Basics II/3. Topic 3.mp4 28.4 MB
  • 1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
  • 5. Python Basics IV/2. Topic 2.mp4 27.4 MB
  • 3. Python Basics II/2. Topic 2.mp4 26.7 MB
  • 9. Available Machine Learning Tools/2. Topic 2.mp4 23.8 MB
  • 2. Python Basic I/4. Topic 2.mp4 22.3 MB
  • 2. Python Basic I/2. Installation.mp4 21.3 MB
  • 7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
  • 5. Python Basics IV/3. Topic 3.srt 18.0 MB
  • 5. Python Basics IV/3. Topic 3.mp4 18.0 MB
  • 4. Python Basics III/1. Topic 1.mp4 17.0 MB
  • 7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
  • 4. Python Basics III/4. Topic 4.mp4 15.1 MB
[磁力链接] 添加时间:2022-04-25 大小:778.2 MB 最近下载:2025-10-18 热度:1308

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

  • 6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • 5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • 6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • 6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • 2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • 2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • 3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • 5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • 3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • 2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • 7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • 5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • 2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • 8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-02-15 热度:102

[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 - Machine Learning - Data Science Product Management Made Easy

  • ~Get Your Files Here !/06 - Deep Learning Intro/002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!.mp4 228.0 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices.mp4 191.3 MB
  • ~Get Your Files Here !/05 - Success Metrics/001 Classification success metrics.mp4 137.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/002 Key questions to ask your team.mp4 97.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/003 Data Science Loop Specifically.mp4 68.9 MB
  • ~Get Your Files Here !/01 - Introduction/003 Main Takeway Preview!.mp4 57.1 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/005 Demographic and Psychographic Factors to Consider.mp4 54.6 MB
  • ~Get Your Files Here !/03 - Data Science Loop/005 Comparing ML and Data Analysis.mp4 45.5 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/001 UX Issues in ML.mp4 45.4 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/002 Linear Regression Overview.mp4 45.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/006 A Research roadmap for you ML Product.mp4 43.5 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/008 Overfitting and Underfitting.mp4 41.7 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/001 Major ML Use Cases.mp4 39.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/006 Limitations of ML.mp4 38.4 MB
  • ~Get Your Files Here !/05 - Success Metrics/002 General success metrics.mp4 35.0 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/003 Testing mockups of your ML product.mp4 33.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/004 Testing concept diagrams of your ML Product.mp4 30.6 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/005 Unsupervised Learning.mp4 29.3 MB
  • ~Get Your Files Here !/01 - Introduction/002 When ML is not the best approach!.mp4 25.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/003 Checklist of Key Sections for you ML Product Roadmap.mp4 24.1 MB
[磁力链接] 添加时间:2022-04-08 大小:1.6 GB 最近下载:2025-11-03 热度:3202

[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:2025-11-01 热度:2784

[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 - 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 ] 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

[ FreeCourseWeb.com ] Udemy - Data Science- Machine Learning and Statistical Modeling in R.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science- Machine Learning and Statistical Modeling in R.zip 1.2 GB
[磁力链接] 添加时间:2022-03-16 大小:1.2 GB 最近下载:2025-11-03 热度:515

[FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
  • 05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
  • 05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
  • 02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
  • 05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
  • 02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB
[磁力链接] 添加时间:2022-03-15 大小:1.5 GB 最近下载:2025-10-31 热度:1288

GetFreeCourses.Co-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:2022-03-14 大小:3.3 GB 最近下载:2025-09-29 热度:3705

[DesireCourse.Net] 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.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 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
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-11-03 热度:763

[DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp

  • [DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp.zip 15.8 GB
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes
[磁力链接] 添加时间:2022-03-05 大小:15.8 GB 最近下载:2025-11-03 热度:301

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 150.6 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
[磁力链接] 添加时间:2022-03-02 大小:6.2 GB 最近下载:2025-10-28 热度:842

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB
[磁力链接] 添加时间:2022-03-01 大小:6.3 GB 最近下载:2025-11-03 热度:1019

[ DevCourseWeb.com ] Udemy - Excel for Data Science and Machine Learning

  • ~Get Your Files Here !/4. Logistic Regression/4. Applying Logistic Regression in Excel.mp4 111.8 MB
  • ~Get Your Files Here !/4. Logistic Regression/7. Understanding the Logistic Regression Summary (Part 2).mp4 98.4 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/9. Interpreting Regression Tables (Part 2).mp4 98.0 MB
  • ~Get Your Files Here !/1. Introduction/1. What Is Machine Learning.mp4 93.8 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/7. Interpreting Regression Tables (Part 1).mp4 89.3 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/2. Multiple Linear Regression (Example).mp4 87.2 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/3. Mutiple Linear Regression (Results).mp4 80.5 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/10. Interpreting Regression Tables (Part 3).mp4 78.1 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/5. First Regression in Excel.mp4 74.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/2. From Linear to Logistic Regression.mp4 71.9 MB
  • ~Get Your Files Here !/4. Logistic Regression/8. ROC Curve.mp4 59.6 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/10. Dummy Variables.mp4 57.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/6. Logistic Regression with XReal.mp4 56.8 MB
  • ~Get Your Files Here !/1. Introduction/2. Types of Machine Learning.mp4 48.7 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/11. Making Predictions Using Linear Regression.mp4 44.8 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/7. OLS Assumptions Normality and Homoscedasticity.mp4 35.2 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/2. Linear Regression.mp4 32.0 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/9. OLS Assumptions No Multicollinearity.mp4 29.6 MB
  • ~Get Your Files Here !/4. Logistic Regression/5. Interpreting Regression Coefficients.mp4 29.3 MB
  • ~Get Your Files Here !/4. Logistic Regression/9. Underfitting and Overfitting.mp4 28.5 MB
[磁力链接] 添加时间:2022-02-28 大小:1.6 GB 最近下载:2025-11-02 热度:971

GetFreeCourses.Co-Udemy-50-Days 50-Projects - Data Science, Machine Learning Bootcamp

  • 21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4 315.7 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4 256.1 MB
  • 28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4 254.8 MB
  • 29. Project-28 Restaurant Recommendation System/4. Data Analysis2.mp4 254.7 MB
  • 30. Project-29 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4 252.2 MB
  • 23. Project-22 Attrition Rate Django Application/2. Creating Colab Notebook.mp4 224.2 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4 217.2 MB
  • 27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4 211.5 MB
  • 31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/6.1 Forest Fires App -Code.zip 196.6 MB
  • 26. Project-25 Cats Vs Dogs Classification Flask App/6.1 Cats Vs Dogs App Code.zip 189.3 MB
  • 24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4 185.8 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4 179.2 MB
  • 16. Project-15 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4 173.7 MB
  • 20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on GCP (Google Cloud Platform).mp4 173.4 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4 163.6 MB
  • 15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4 162.8 MB
  • 37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4 162.1 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4 160.3 MB
  • 14. Project-13 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4 160.1 MB
  • 19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4 154.9 MB
[磁力链接] 添加时间:2022-02-28 大小:24.7 GB 最近下载:2025-11-03 热度:2377

[GigaCourse.Com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2022-02-26 大小:18.4 GB 最近下载:2025-08-09 热度:1333

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

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-02-18 大小:3.3 GB 最近下载:2025-11-05 热度:1227

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2025-10-30 热度:638


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