Machine-learning

Repository for studying machine learning

• Basic data science :

  Practice basic of data science (numpy, pandas)

  1. to use numpy array and pandas data frame

  2. visualization with seaborn package

  3. EDA(explatory data analysis) method

  4. data cleaning method (completeness, uniqueness, accuracy)

• Machine learning :

  Practice basic machine learning

  1. (multiple) linear regression

  2. polynomial regression

  3. logistic regression

  4. decision tree, random forest, adaboost

  Practice recommender system with variou machine learning technique

  1. content-based recommend system

  2. (user-based, item-based) collaborative filtering

  3. matrix factorization