Linear Regression in Python| Simple Regression & Multiple Regression is essential for Machine Learning & Econometrics.
- Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same.
What you’ll learn:
- Learn how to solve the 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 the Simplest Machine Learning algorithm.
- Understand how to interpret the result of a Linear Regression model and translate them into actionable insight.
- Understanding of basics of statistics and concepts of Machine Learning.
- In-depth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem.
- Learn advanced variations of the OLS method of Linear Regression.
- The course contains an end-to-end DIY project to implement your learnings from the lectures.
- How to convert the 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.
Who this course is for:
- 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 Advanced in a short span of time.
This course includes:
- 7.5 hours of on-demand video.
- 16 articles.
- 39 downloadable resources.
- Full lifetime access.
- Access on mobile and TV.
- Certificate of Completion.
Created by Start-Tech Academy
How to Subscribe For Machine Learning for Beginners-Regression Analysis in Python?
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