Machine Learning Basics

Several tutorials done exploring machine learning and regression using scikit_learn. It covers topics including:

• Linear Regression
• Multiple Linear Regression
• Classification using KNN
• Bayes Theorem
• Nonlinear Classification
  • Using Decisions Trees
  • Using Ensembles
• Perceptrons and Vector Machines

Big Data Analytics

There are also several lessons on big data analytics using Apache Hadoop. These were edited from the course Hadoop and Spark Fundementals and their corresponding copyright.