Skip to content

ajuljulian/ml-python

Repository files navigation

A collection of Jupyter notebooks about machine learning and data science topics

Supervised Learning

  1. supervised_linear_regression - Linear Regression example
  2. supervised_logistic_regression - Logistic Regression example
  3. supervised_classifier_svm_pipeline - Support Vector Machine example
  4. supervised_decision_tree_randomized_search - Decision Tree example using randomized search to find best hyperparameters
  5. supervised_elastic_net_grid_search - Elastic Net example with Grid Search
  6. supervised_ridge_regression - Ridge Regression example
  7. unsupervised_dimension_reduction_PCA - dimension reduction and Principal Component Analysis

Unsupervised Learning

  1. unsupervised_k_means - K-Means example

Reinforcement Learning

  1. deep_learning_mnist_keras - Classifying handwritten digits using Keras

Basics

  1. basics_matplotlib - Basic Matplotlib examples
  2. basics_numpy - Basic numpy examples
  3. basics_pandas - Basic pandas examples

Snippets

  1. snippets_python - Python code snippets

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published