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[FreeCourseLab.me] 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
  • 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
  • 8. Exploratory Data Analysis/1. Case Study - Topic 1.mp4 14.6 MB
[磁力链接] 添加时间:2021-03-31 大小:750.4 MB 最近下载:2022-04-18 热度:100

[ 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

[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

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

  • 9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
  • 10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
  • 9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
  • 11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
  • 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
  • 11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • 10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
  • 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
  • 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
  • 2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
  • 2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
  • 6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
  • 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
  • 10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-05-12 热度:146

[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

[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

[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip

  • [ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip 1.9 GB
[磁力链接] 添加时间:2021-03-26 大小:1.9 GB 最近下载:2025-11-03 热度:2738

[DesireCourse.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
  • 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
  • 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
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-11-01 热度:1197

[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

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip

  • [ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip 1.5 GB
[磁力链接] 添加时间:2021-03-22 大小:1.5 GB 最近下载:2025-07-22 热度:480

[ DevCourseWeb.com ] Udemy - Learn Data Science - Practical Machine Learning Projects.zip

  • [ DevCourseWeb.com ] Udemy - Learn Data Science - Practical Machine Learning Projects.zip 1.8 GB
[磁力链接] 添加时间:2021-03-22 大小:1.8 GB 最近下载:2025-02-12 热度:429

GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. 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/22. 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/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2021-03-22 大小:5.5 GB 最近下载:2025-11-01 热度:6663

[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.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:2021-03-21 大小:6.4 GB 最近下载:2025-10-22 热度:1174

[ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip

  • [ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip 202.5 MB
[磁力链接] 添加时间:2021-03-20 大小:202.5 MB 最近下载:2025-10-22 热度:824

[FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
  • 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB
[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2025-10-29 热度:1325

Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-03-19 大小:4.1 GB 最近下载:2025-03-15 热度:81

[FreeCourseSite.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:2021-03-19 大小:2.6 GB 最近下载:2025-08-24 热度:854

[FreeAllCourse.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/39. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning/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/45. Putting It All Together.mp4 166.0 MB
  • 14. Neural Networks Deep Learning/34. Make And Transform Predictions.mp4 162.5 MB
  • 14. Neural Networks Deep Learning/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/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/15. 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/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning/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:2021-03-18 大小:20.6 GB 最近下载:2025-05-04 热度:546

[GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning

  • 04 Matrices and Systems of Linear Equations/024 Row Echelon Form (REF).mp4 187.9 MB
  • 04 Matrices and Systems of Linear Equations/023 Elementary Row Operations.mp4 171.1 MB
  • 04 Matrices and Systems of Linear Equations/020 The Online Matrix Calculator A FREE Tool.mp4 88.2 MB
  • 03 Basics of Matrices (Continued)/012 Multiplication of two Matrices.mp4 85.6 MB
  • 07 Inverse of a Matrix/042 Inverse of a 3x3 Matrix - Gauss-Jordan Elimination Method.mp4.part 72.8 MB
  • 06 Determinant of a Matrix/033 Determinant of a 3x3 Matrix.mp4 72.3 MB
  • 04 Matrices and Systems of Linear Equations/025 Reduced Row Echelon Form (RREF).mp4 70.8 MB
  • 07 Inverse of a Matrix/041 Inverse of a 3x3 Matrix - The Co-factor Method.mp4 69.1 MB
  • 02 Basics of Matrices/006 Solving Linear Systems in 2 Unknowns - 005.mp4 57.2 MB
  • 03 Basics of Matrices (Continued)/019 SUMMARY.mp4 57.1 MB
  • 01 Welcome and Introduction/001 Welcome and Introduction.mp4 51.5 MB
  • 03 Basics of Matrices (Continued)/016 Using Matrices to Solve Simultaneous Linear Equations.mp4 45.4 MB
  • 03 Basics of Matrices (Continued)/017 EXAMPLE - Using Matrices to Solve Simultaneous Linear Equations.mp4 39.9 MB
  • 05 Matrix Algebra and Operations/029 Matrix Algebra - Matrix Multiplication.mp4 35.0 MB
  • 07 Inverse of a Matrix/038 Importance of Inverse in solving Linear Systems.mp4 33.6 MB
  • 02 Basics of Matrices/007 Solving Linear Systems in 3 Unknowns - 006.mp4 31.5 MB
  • 06 Determinant of a Matrix/032 Determinant of a 2x2 Matrix.mp4 31.1 MB
  • 03 Basics of Matrices (Continued)/010 Addition and Subtraction of Matrices.mp4 30.0 MB
  • 03 Basics of Matrices (Continued)/009 Types of Matrices.mp4 27.8 MB
  • 04 Matrices and Systems of Linear Equations/021 Systems of Linear Equations.mp4 23.5 MB
[磁力链接] 添加时间:2021-03-18 大小:1.5 GB 最近下载:2025-10-31 热度:2259

[FreeCourseWorld.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
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/4.1 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 36.6 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:2021-03-18 大小:2.6 GB 最近下载:2025-05-24 热度:265


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