Overview

Participants will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

This course will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. Attendees, at the end of this course, will be technically competent in the basics and the fundamental concepts of Machine Learning such as:

• Understand components of a machine learning algorithm.
• Apply machine learning tools to build and evaluate predictors
• How machine learning uses computer algorithms to search for patterns in data
• How to uncover hidden themes in large collections of documents using topic modeling
• How to uncover hidden themes in large collections of documents using topic modeling
• From healthcare involving genomics and preterm birth
• How to prepare data, deal with missing data and create custom data analysis solutions for different industries
• Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming

Introduction to Python

Python for Data Analysis-NumPy
Python for Data Visualization-Matplotlib
Machine Learning
Linear Regression
Logistic Regression
K Nearest Neighbours
Machine Learning
Support Vector Machines
K Means Clustering