What you'll 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
Udemy link:
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