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Machine Learning


  1. Understanding Python & R
  2. Machine Learning Techniques
  3. Supervised Learning- I
  4. Supervised Learning – II
  5. Unsupervised Learning
  6. Advice for Applying Machine Learning
  7. Linear Regression with One Variable
  8. Linear Algebra Review
  9. Linear Regression with Multiple Variables
  10. Octave/Matlab Tutorial
  11. Logistic Regression
  12. Regularization
  13. Neural Networks: Representation
  14. Neural Networks: Learning
  15. Advice for Applying Machine Learning
  16. Machine Learning System Design
  17. Support Vector Machines
  18. Unsupervised Learning
  19. Dimensionality Reduction
  20. Anomaly Detection
  21. Recommender Systems
  22. Large Scale Machine Learning
  23. Machine Learning Use-Cases 
  24. Machine Learning Process Flow 
  25. Linear regression 
  26. Gradient descent
  27. Dimensionality Reduction
  28. Association Rules Mining and Recommendation Systems 
  29. Reinforcement Learning
  30. Time Series Analysis
  31. Model Selection and Boosting 
  32. Hands-On Project
  33. Introduction to Graphical Model 
  34. Bayesian Network 
  35. Markov’s Networks
  36. Inference
  37. Model learning
  38. Introduction to Reinforcement Learning
  39. Markov Decision Processes and Bandit Algorithms
  40. Dynamic Programming & Temporal Difference Methods
  41. Value Function, Bellman Equation, Value Iteration, and Policy Gradient Methods
  42. In-class Project
  43. NLP with Python
  44. Introduction to Text Mining and NLP
  45. Extracting, Cleaning and Preprocessing Text
  46. Analyzing Sentence Structure
  47. Text Classification-I
  48. Text Classification-II
  49. Sentiment Analysis
  50. Machine Learning using Spark MLlib
  51. Data Preprocessing
  52. Feature Engineering
  53. Supervised Learning: Classification
  54. Time Series Modeling 
  55. Ensemble Learning
  56. Recommender Systems
  57. Text Mining 







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  • Lectures 7
  • Skill Level Professional
  • Languages English
  • Max downloads 127


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John

John

I try to make teaching interactive as I know now a days students also are aware about their studies and surroundings which will keep me updates. Read More