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Python Machine Learning in 7 Days [Video]

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视频 2019-5-22 17:50 2025-3-4 18:42 53 317.62 MB 42
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Python Machine Learning in 7 Days Video

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.mp422.4MB
  2. 1.Enter the Machine Learning World!/02.Setting Up Your Machine Learning Environment.mp420.62MB
  3. 1.Enter the Machine Learning World!/03.Exploring Types of Machine Learning.mp46.22MB
  4. 1.Enter the Machine Learning World!/04.Using Scikit-learn for Machine Learning.mp414.09MB
  5. 1.Enter the Machine Learning World!/05.Assignment – Train Your First Pre-built Machine Learning Model.mp42.28MB
  6. 2.Build Your First Predicting Model/06.Supervised Learning Algorithm.mp43.86MB
  7. 2.Build Your First Predicting Model/07.Architecture of a Machine Learning System.mp45.95MB
  8. 2.Build Your First Predicting Model/08.Machine Learning Model and Its Components.mp46.77MB
  9. 2.Build Your First Predicting Model/09.Linear Regression.mp43.38MB
  10. 2.Build Your First Predicting Model/10.Predicting Weight Using Linear Regression.mp416.53MB
  11. 2.Build Your First Predicting Model/11.Assignment – Predicting Energy Output of a Power Plant.mp43.26MB
  12. 3.Image Classification Using Supervised Learning/12.Review of Predicting Energy Output of a Power Plant.mp419.76MB
  13. 3.Image Classification Using Supervised Learning/13.Logistic Regression.mp49.04MB
  14. 3.Image Classification Using Supervised Learning/14.Classifying Images Using Logistic Regression.mp412.3MB
  15. 3.Image Classification Using Supervised Learning/15.Support Vector Machines.mp43.13MB
  16. 3.Image Classification Using Supervised Learning/16.Kernels in a SVM.mp42.12MB
  17. 3.Image Classification Using Supervised Learning/17.Classifying Images Using Support Vector Machines.mp410.55MB
  18. 3.Image Classification Using Supervised Learning/18.Assignment – Start Image Classifying Using Support Vector Machines.mp45.85MB
  19. 4.Improving Model Accuracy/19.Review of Classifying Images Using Support Vector Machines.mp416.37MB
  20. 4.Improving Model Accuracy/20.Model Evaluation.mp45.08MB
  21. 4.Improving Model Accuracy/21.Better Measures than Accuracy.mp48.5MB
  22. 4.Improving Model Accuracy/22.Understanding the Results.mp44.59MB
  23. 4.Improving Model Accuracy/23.Improving the Models.mp44.95MB
  24. 4.Improving Model Accuracy/24.Assignment – Getting Better Test Sample Results by Measuring Model Performance.mp43.13MB
  25. 1.Enter the Machine Learning World!/01.The Course Overview.mp43.62MB
  26. 5.Finding Patterns and Structures in Unlabeled Data/26.Unsupervised Learning.mp43.54MB
  27. 5.Finding Patterns and Structures in Unlabeled Data/27.Clustering.mp44.55MB
  28. 5.Finding Patterns and Structures in Unlabeled Data/28.K-means Clustering.mp43.87MB
  29. 5.Finding Patterns and Structures in Unlabeled Data/29.Determining the Number of Clusters.mp42.48MB
  30. 5.Finding Patterns and Structures in Unlabeled Data/30.Assignment – Write Your Own Clustering Implementation for Customer Segmentation.mp43.56MB
  31. 6.Sentiment Analysis Using Neural Networks/31.Review of Clustering Customers Together.mp420.81MB
  32. 6.Sentiment Analysis Using Neural Networks/32.Why Neural Network.mp45.07MB
  33. 6.Sentiment Analysis Using Neural Networks/33.Parts of a Neural Network.mp46.23MB
  34. 6.Sentiment Analysis Using Neural Networks/34.Working of a Neural Network.mp44.51MB
  35. 6.Sentiment Analysis Using Neural Networks/35.Improving the Network.mp43.13MB
  36. 6.Sentiment Analysis Using Neural Networks/36.Assignment – Build a Sentiment Analyzer Based on Social Network Using ANN.mp45.4MB
  37. 7.Mastering Kaggle Titanic Competition Using Random Forest/37.Review of Building a Sentiment Analyser ANN.mp420.33MB
  38. 7.Mastering Kaggle Titanic Competition Using Random Forest/38.Decision Trees.mp45.08MB
  39. 7.Mastering Kaggle Titanic Competition Using Random Forest/39.Working of a Decision Tree.mp45.33MB
  40. 7.Mastering Kaggle Titanic Competition Using Random Forest/40.Techniques to Further Improve a Model.mp43.02MB
  41. 7.Mastering Kaggle Titanic Competition Using Random Forest/41.Random Forest as an Improved Machine Learning Approach.mp43.01MB
  42. 7.Mastering Kaggle Titanic Competition Using Random Forest/42.Weekend Task – Solving Titanic Problem Using Random Forest.mp43.37MB
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