ML-Resources

Introduction to machine learning

1. Python for DataScience
2. Statistics
3. machine learning algorithms

   • supervised ML

     • Naive Bayes
     • SVM
     • Descision Trees
     • KNeighbors

   • Regression (Continues Supervised ML)

     • Ordinary Least Squares (OLS)
     • Gradient Descent

   • Unsupervised Learning

     • K-Means Clustering
4. Learning from Text
   • data stemming (using stemmers)
   • data bagging
   • TfidfVectorizer
   • removing stopwords