Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners
Sub Category
- Data Science
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Objectives
- Learn how to solve real life problem using the Linear and Logistic Regression technique
- Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
- Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
- Indepth knowledge of data collection and data preprocessing for Linear and Logistic 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
Pre Requisites
- This course starts from basics and you do not even need coding background to build these models in Python
- Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)