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Machine Learning Basics Building Regression Model in Python

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Machine Learning Basics: Building Regression Model in Python

Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in Python

Details

Lecture: 66
Time Required: 7.5 hour
Downloadable Resources: 6
Access: Life Time
Access on mobile and TV
Certificate of Completion

Requirements

Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

What you will learn

Learn how to solve real life problem using the Linear Regression technique
Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
Understand how to interpret the result of Linear Regression model and translate them into actionable insight
Understanding of basics of statistics and concepts of Machine Learning
indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
Learn advanced variations of OLS method of Linear Regression
Course contains a end-to-end DIY project to implement your learnings from the lectures
How to convert business problem into a Machine Learning Linear Regression problem
Basic statistics using Numpy library in Python
Data representation using Seaborn library in Python
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Targeted Audience

People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master Linear Regression from beginner to Advance in short span of time

Take This Course

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