Introduction
  • Introduction
  • Books used - Reference books
  • Reference Books For Machine Learning
  • Books & References for Machine Learning and Pandas
  • Scikit Learn
  • Supervised Unsupervised Learning
  • Regression and Classification Intro
  • Bias Variance Precision Recall Confusion Matrix
  • Test Train Split - Cross Validation
  • Clustering & Classification
  • Decesion Trees
  • Support Vector Machines
  • Neural Networks
  • Parameters HyperParameters
  • PCA - Dimension Reduction
  • Conclusions
Hands on Jupyter Notebook
  • Logistic Regression Notebook
  • Notebook - Logistic, Decesion Tree, SVM, Random Fores, NN
  • Decesion Tree K Means on Iris K Means on Digits