pykitml

Package Reference:

  • Linear Regression
  • Logistic Regression
  • Support Vector Machine
  • Feed-Forward Neural Network
  • Long short-term memory (LSTM) Network
  • Optimizers
  • Nearest Neighbor
  • Decision Tree
  • Random Forest
  • Naive Bayes
  • Gaussian Naive Bayes
  • K-Means Clustering
  • Principal Component Analysis
  • Random Search for Hyperparameters
  • Normalization/Feature-scaling
  • Preprocessing Datasets
  • SMOTE
  • Cross Validation
  • Datasets
  • Saving and Loading Objects/Models
  • Creating NES bots using FCEUX emulator
  • Deep Q Learning
pykitml
  • pykitml (Python Kit for Machine Learning) Docs
  • View page source

pykitml (Python Kit for Machine Learning) Docs

_images/pykitml128.png

Documentation and reference for pykitml, simple Machine Learning library written in Python and NumPy.

Installation

python3 -m pip install pykitml

Package Reference:

  • Linear Regression
  • Logistic Regression
  • Support Vector Machine
  • Feed-Forward Neural Network
  • Long short-term memory (LSTM) Network
  • Optimizers
  • Nearest Neighbor
  • Decision Tree
  • Random Forest
  • Naive Bayes
  • Gaussian Naive Bayes
  • K-Means Clustering
  • Principal Component Analysis
  • Random Search for Hyperparameters
  • Normalization/Feature-scaling
  • Preprocessing Datasets
  • SMOTE
  • Cross Validation
  • Datasets
  • Saving and Loading Objects/Models
  • Creating NES bots using FCEUX emulator
  • Deep Q Learning

Indices and tables

  • Index

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