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