A comprehensive course in Logistic and Linear Regression
Understand ML models through first principle,develop mathematical understanding,build intuition & work out case studies
Ratings 4.77 / 5.00
What You Will Learn!
- Basics of Python. If you already know Python then this can be skipped.
- Linear Algebra to develop mathematical Intuition behind each algorithm.
- Mathematics behind Logistic Regression.
- Logistic Regression Case Study - Donors Choose
- Mathematics behind Linear Regression
- Linear Regression Case Study
Description
A COMPREHENSIVE COURSE IN LOGISTIC AND LINEAR REGRESSION IS SET UP TO MAKE LEARNING FUN AND EASY
This 100+ lesson course includes 20+ hours of high-quality video and text explanations of everything from Python, Linear Algebra, Mathematics behind the ML algorithms and case studies. Topic is organized into the following sections:
Python Basics, Data Structures - List, Tuple, Set, Dictionary, Strings
Pandas and Numpy
Linear Algebra - Understanding what is a point and equation of a line.
What is a Vector and Vector operations
What is a Matrix and Matrix operations
In depth mathematics behind Logistic Regression
Donors Choose case study
In depth mathematics behind Linear Regression.
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
We will start with basics and understand the intuition behind each topic.
Video lecture explaining the concept with many real-life examples so that the concept is drilled in.
Walkthrough of worked out examples to see different ways of asking question and solving them.
Logically connected concepts which slowly builds up.
Enroll today! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.
YOU'LL ALSO GET:
Lifetime access to the course
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Who Should Attend!
- Data Analysts wanting to transition into Data Scientists
- Dats Scientists wanting to understand the mathematical rigour behind the algorithms.
- Just about anybody who is interested in Machine Learning
- Maths enthusiasts
