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Python Machine Learning in 7 Days [Video]

  • 收录时间:2020-01-26 20:25:49
  • 文件大小:323MB
  • 下载次数:92
  • 最近下载:2021-01-13 22:28:54
  • 磁力链接:

文件列表

  1. 5.Finding Patterns and Structures in Unlabeled Data/25.Review of Getting Better Test Sample Results by Measuring Model Performance.mp4 22MB
  2. 6.Sentiment Analysis Using Neural Networks/31.Review of Clustering Customers Together.mp4 21MB
  3. 1.Enter the Machine Learning World!/02.Setting Up Your Machine Learning Environment.mp4 21MB
  4. 7.Mastering Kaggle Titanic Competition Using Random Forest/37.Review of Building a Sentiment Analyser ANN.mp4 20MB
  5. 3.Image Classification Using Supervised Learning/12.Review of Predicting Energy Output of a Power Plant.mp4 20MB
  6. 2.Build Your First Predicting Model/10.Predicting Weight Using Linear Regression.mp4 17MB
  7. 4.Improving Model Accuracy/19.Review of Classifying Images Using Support Vector Machines.mp4 16MB
  8. 1.Enter the Machine Learning World!/04.Using Scikit-learn for Machine Learning.mp4 14MB
  9. 3.Image Classification Using Supervised Learning/14.Classifying Images Using Logistic Regression.mp4 12MB
  10. 3.Image Classification Using Supervised Learning/17.Classifying Images Using Support Vector Machines.mp4 11MB
  11. 3.Image Classification Using Supervised Learning/13.Logistic Regression.mp4 9MB
  12. 4.Improving Model Accuracy/21.Better Measures than Accuracy.mp4 9MB
  13. 2.Build Your First Predicting Model/08.Machine Learning Model and Its Components.mp4 7MB
  14. 6.Sentiment Analysis Using Neural Networks/33.Parts of a Neural Network.mp4 6MB
  15. 1.Enter the Machine Learning World!/03.Exploring Types of Machine Learning.mp4 6MB
  16. 2.Build Your First Predicting Model/07.Architecture of a Machine Learning System.mp4 6MB
  17. 3.Image Classification Using Supervised Learning/18.Assignment – Start Image Classifying Using Support Vector Machines.mp4 6MB
  18. 6.Sentiment Analysis Using Neural Networks/36.Assignment – Build a Sentiment Analyzer Based on Social Network Using ANN.mp4 5MB
  19. 7.Mastering Kaggle Titanic Competition Using Random Forest/39.Working of a Decision Tree.mp4 5MB
  20. Exercise Files/code_33695.zip 5MB
  21. 7.Mastering Kaggle Titanic Competition Using Random Forest/38.Decision Trees.mp4 5MB
  22. 4.Improving Model Accuracy/20.Model Evaluation.mp4 5MB
  23. 6.Sentiment Analysis Using Neural Networks/32.Why Neural Network.mp4 5MB
  24. 4.Improving Model Accuracy/23.Improving the Models.mp4 5MB
  25. 4.Improving Model Accuracy/22.Understanding the Results.mp4 5MB
  26. 5.Finding Patterns and Structures in Unlabeled Data/27.Clustering.mp4 5MB
  27. 6.Sentiment Analysis Using Neural Networks/34.Working of a Neural Network.mp4 5MB
  28. 5.Finding Patterns and Structures in Unlabeled Data/28.K-means Clustering.mp4 4MB
  29. 2.Build Your First Predicting Model/06.Supervised Learning Algorithm.mp4 4MB
  30. 1.Enter the Machine Learning World!/01.The Course Overview.mp4 4MB
  31. 5.Finding Patterns and Structures in Unlabeled Data/30.Assignment – Write Your Own Clustering Implementation for Customer Segmentation.mp4 4MB
  32. 5.Finding Patterns and Structures in Unlabeled Data/26.Unsupervised Learning.mp4 4MB
  33. 2.Build Your First Predicting Model/09.Linear Regression.mp4 3MB
  34. 7.Mastering Kaggle Titanic Competition Using Random Forest/42.Weekend Task – Solving Titanic Problem Using Random Forest.mp4 3MB
  35. 2.Build Your First Predicting Model/11.Assignment – Predicting Energy Output of a Power Plant.mp4 3MB
  36. 6.Sentiment Analysis Using Neural Networks/35.Improving the Network.mp4 3MB
  37. 4.Improving Model Accuracy/24.Assignment – Getting Better Test Sample Results by Measuring Model Performance.mp4 3MB
  38. 3.Image Classification Using Supervised Learning/15.Support Vector Machines.mp4 3MB
  39. 7.Mastering Kaggle Titanic Competition Using Random Forest/40.Techniques to Further Improve a Model.mp4 3MB
  40. 7.Mastering Kaggle Titanic Competition Using Random Forest/41.Random Forest as an Improved Machine Learning Approach.mp4 3MB
  41. 5.Finding Patterns and Structures in Unlabeled Data/29.Determining the Number of Clusters.mp4 2MB
  42. 1.Enter the Machine Learning World!/05.Assignment – Train Your First Pre-built Machine Learning Model.mp4 2MB
  43. 3.Image Classification Using Supervised Learning/16.Kernels in a SVM.mp4 2MB