This course provides you with the skills to build a predictive model from the ground up, using Python.
You will learn the full lifecycle of building the model. First, you'll understand the data discovery process and discover how to make connections between the predicting and predicted variables. You will also learn about key data transformation and preparation issues, which form the backdrop to an introduction in Python for data analytics.
Requirements
Prior programming experience in Python,Java
Background from mathematics and statistics.
What I will learn?
Concept of predictive analytics process
How to prepare data for Predictive Modelling
How to clean datasets to prevent data quality issues
How to implement linear and logistic regression models
