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[TutNetFlix.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-03-27 大小:20.5 GB 最近下载:2025-10-11 热度:459

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

  • 01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
  • 01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
  • 01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
  • 01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 24.4 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data-subtitle-en.srt 24.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 33.7 MB
[磁力链接] 添加时间:2018-02-06 大小:5.9 GB 最近下载:2025-10-07 热度:794

[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

[FreeTutorials.Us] Udemy - data-science-and-machine-learning-with-python-hands-on

  • 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:2022-01-09 大小:3.3 GB 最近下载:2025-10-06 热度:744

[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

giga-course.-com-udemy-complete-machine-learning-data-science-bootcamp-2023

  • 9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4 456.4 MB
  • 5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4 437.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.1 MB
  • 16 - Career Advice Extra Bits/268 - CWD Git Github.mp4 379.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4 352.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4 337.7 MB
  • 16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4 327.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4 311.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4 305.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4 292.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4 278.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4 278.7 MB
  • 5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4 274.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4 273.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4 271.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4 266.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4 266.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4 263.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4 260.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4 257.0 MB
[磁力链接] 添加时间:2023-12-30 大小:51.8 GB 最近下载:2025-10-05 热度:2093

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

  • 1. Welcome to the course!/5.1 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!/6. 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 49.4 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
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2025-10-04 热度:59

[DesireCourse.Net] Udemy - Python para Data Science e Machine Learning - COMPLETO

  • 17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
  • 7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
  • 13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
  • 15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
  • 13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
  • 24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
  • 18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
  • 7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
  • 13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
  • 9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
  • 24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
  • 20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
  • 21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
  • 12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
  • 24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
  • 15. Regressões lineares/2. Regressões lineares com Python - Parte 1.mp4 44.6 MB
  • 17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
  • 13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
  • 9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
  • 25. Big Data e Spark com Python/5. Configurando uma instância EC2 no AWS.mp4 42.9 MB
[磁力链接] 添加时间:2021-03-12 大小:3.0 GB 最近下载:2025-10-04 热度:2025

[DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • [DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
  • [FreeCourseWorld.Com].url 54 Bytes
  • [DesireCourse.Net].url 51 Bytes
[磁力链接] 添加时间:2021-03-06 大小:18.1 GB 最近下载:2025-10-04 热度:1010

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

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

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

[GigaCourse.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 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/14. 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 49.4 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
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-29 大小:6.4 GB 最近下载:2025-09-24 热度:769

[DesireCourse.Net] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 17. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2024-03-28 大小:14.2 GB 最近下载:2025-09-19 热度:259

[FreeCourseSite.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:2022-01-09 大小:11.7 GB 最近下载:2025-09-15 热度:2296

[FreeCourseLab.com] Udemy - Introduction to Machine Learning for Data Science

  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
  • 13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
  • 9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
  • 3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB
[磁力链接] 添加时间:2021-04-29 大小:2.6 GB 最近下载:2025-09-13 热度:1072

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

  • [DesireCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp.zip 3.9 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2021-03-14 大小:3.9 GB 最近下载:2025-09-12 热度:798

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2025-09-11 热度:772

[ FreeCourseWeb.com ] Udemy - Python for Data Science and Machine Learning beginners.zip

  • [ FreeCourseWeb.com ] Udemy - Python for Data Science and Machine Learning beginners.zip 2.8 GB
[磁力链接] 添加时间:2022-01-21 大小:2.8 GB 最近下载:2025-09-10 热度:654

[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip

  • [ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip 1.4 GB
[磁力链接] 添加时间:2022-02-06 大小:1.4 GB 最近下载:2025-09-09 热度:217

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip

  • [ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip 391.1 MB
[磁力链接] 添加时间:2021-03-30 大小:391.1 MB 最近下载:2025-09-05 热度:810


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