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Jason brownlee machine learning mini course notes and examples

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Jason brownlee machine learning mini course notes and examples are gathered through subscribed emails from https://machinelearningmastery.com

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Mini Courses

  1. Applied Machine Learning With Weka
  2. XGBoost With Python Mini-Course
  3. Deep Learning With Python Mini-Course

General Information

  1. Be a machine learning engineer
  2. Better results by structuring your problem
  3. Catalog of machine learning algorithms
  4. Combine predictions with ensemble methods
  5. Deep learning for sequence prediction
  6. Kick your math envy
  7. Machine learning has a trap
  8. Machine learning without a single line of code
  9. Nonlinear algorithms for when you need performance
  10. Practical machine learning problems
  11. Related fields of study
  12. Standard machine learning terms
  13. Start with simple linear algorithms
  14. Visualize your data with Pandas
  15. What is deep learning?

Machine Learning Algorithms Lessons

  1. How To Talk About Data in Machine Learning
  2. The Principle That Underpins All Algorithms
  3. Parametric and Nonparametric Algorithms
  4. Bias, Variance and the Trade-off
  5. Linear Regression Algorithm
  6. Logistic Regression Algorithm
  7. Linear Discriminant Analysis Algorithm
  8. Classification and Regression Trees
  9. Naive Bayes Algorithm
  10. K-Nearest Neighbors Algorithm
  11. Learning Vector Quantization
  12. Support Vector Machines
  13. Bagging and Random Forest
  14. Boosting and AdaBoost

Newsletters

  1. 4 Prediction Models and 3 Types of Gradient Descent
  2. Attentional LSTMs, BPTT in Keras, and Long Sequences
  3. AWS commands, Keras metrics and LSTM tests
  4. Deep Learning for Natural Language Processing Courses
  5. Differencing, One Hot Encoding and Validation Sets
  6. Get great results by being systematic
  7. Multivariate Forecasting, Mini-Course and Stacked LSTMs
  8. RNNs, Adam Optimization and Data Scaling
  9. Sequence Prediction, RNN Unrolling and NLP Books
  10. Training Data Size, Hyperparameters and Why One Hot Encode

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jason

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Most of the content I have used from Jason Brownlee emails which I have subscribed through https://machinelearningmastery.com.

And also you will find most of the stuff from here also https://machinelearningmastery.com/start-here/#faq