/data-science-projects

A Compilation of my data science projects

Primary LanguageJupyter Notebook

data-science-projects

A Compilation of my data science projects

  • AdaBoost_Cuckoo : using niapy to use hyperparameter tuning for optimizing AdaBoostRegressor.
  • KMeanScratch : I built KMean without using library for KMeans
  • Machine Learning Template : my template to do machine learning stuff. There are :
    • Data Exploration
    • Pre-processing
    • Data Splitting
    • Models :
      • Decision Tree
      • Logistic Regression
      • Linear Regression
      • Linear SVM
      • RBF SVM
      • Gaussian Naive Baiyes
      • Multinominal Naive Bayes
    • Predict
    • Testing
    • Score
  • NLP Ngram and Deep Learning : a Natural Language Processing project using n-gram and deep learning for language generation
  • tpot autoML : using TPOT AutoML to seek out the best model and parameter for a data