Practice_ML

edit by ominiv

In this repository, I review machine learning papers and algorithms.
Contributions are always welcome :)

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Interesting papers in ICML 2021

• Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
• Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information
• Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
• Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
• Correcting Exposure Bias for Link Recommendation

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algorithm

• Decision Tree

  • UCI human activitiy dataset

• Ensemble

  • Random Forest
    • UCI human activitiy dataset
  • Gradient Boost Machine
    • Gradient Descent algorithm
    • Practice GBM
    • UCI human activitiy dataset
  • XGBoost
    • breast cancer dataset
    • Prediction Santander Customer Satisfaction
  • LightGBM
    • breast cancer dataset
    • Prediction Santander Customer Satisfaction
    • Credit Card Fraud Detection
  • Stacking
    • breast cancer dataset

• Regression

  • LinearRegression
    • Boston dataset
  • LogisticRegression
    • Credit Card Fraud Detection
    • News Classification
  • Polynomial Regression
    • polynomial regression
  • Logistic Regression
    • breast cancer dataset
  • Lasso Ridge ElasticNet
    • Boston dataset
  • RegressionTree
    • Boston dataset

• Dimension Reduction

  • PCA / LDA / SVD / NMF
    • iris dataset-Dimension Reduction

• Clustering

  • Kmeans / Mean Shift / GMM / DBSCAN
    • iris dataset - Clustering

• Text Analytics

  • COO CSR (Feature Vectorization)
  • Text Preprocessing
  • News Classification
  • Sentiment Analysis

• Recommandation System

  • Content based Filtering
  • item based filtering
  • Latent Factor Collaborative Filtering

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Reference

• ICML | 2021