ambrishshukla / ml-tool-kit Goto Github PK

• Python Basic to Advance
• Pandas
• Numpy
• Data Visualization
• Data Preprocessing
• ML Models
  • Regression
    • Simple Regression
    • Multi Linear Regression
    • Polynomial Regression
    • Support Vector Regression(SVR)
    • Decision Tree Regression
    • Random Forest Regression
    • Regression Templates
    • Model Evluation
  • Classification
    • Logistic Regression
    • KNearestNeighbor(KNN)
    • Support Vector Machine(SVM)
    • Kernel Support Vector Machine(Kernel SVM)
    • Naive Bayes
    • Decision Tree Classification
    • Random Forest Classification
    • Evluation
  • Clustering
    • K-Mean Clustering
    • Hierarchical Clustering
• Recommendation System
  • Association Rule
    • Apriori Algorithm
    • Eclat Algorithm
• Reinforcement Learning
  • Upper Confidence Bound(UCB)
  • Thompson Sampling
• Natural Language Process(NPL)
• Deep Learning
  • Artificial Neural Network(ANN)
    • ANN for Regression Problems
  • Convolutional Neural Network(CNN)
• Dimensionality Reduction
  • Principal Conponent Analysis(PCA)
  • Linear Discriminant Analysis(LDA)
  • Kernel Principal Conponent Analysis(Kernel PCA)
• Model Selection and Boosting
  • Model Selection
    • K Fold Cross Validation
    • Grid Search
  • XGBoost

COC

MIT License