Overview
The course covers exploratory data analysis techniques and an introduction to statistical regressions. You will also learn how to handle qualitative predictors and make accurate predictions. Equip yourself with tools crucial for a successful career in data science.
What You Will Learn!
- Simple Linear Regression and the Method of Least Squares
- Multiple Linear Regression and Best Subsets
- Tests of Model Adequacy
- Polynomial Regression
- Usage of Transforms
- Tree Based Methods: CART
Curriculum
Curriculum
- 1 Section
- 1 Lesson
- 12 Hours
Instructor
Reviews
You May Like
ML-03: LGR, SVM, NBC and KNN
This will cover the four major Supervised Learning Techniques
Artificial Intelligence for Anyone Interested (AI4AI)
This gives an overview of Artificial Intelligence and Machine Learning for beginners
Statistical Fundamentals of Data Science Part-1 (SFDS-01)
Learn to analyze and visualize data in R and gain proficiency in descriptive statistics, probability, hypothesis testing, and regression.
Statistics for Non Statisticians (SFNS)
Sat 6 July 2024 Timings 1100-1330 IST via Google Meet Sat 6 July 2024 Timings 1100-1330 IST via Google Meet Do you feel utterly...
Design of Experiments Part-1 (DOE-01): Basic DOE with R
This course covers the fundamentals of the design and analysis of experiments (DoE). Using these principles, you will learn to critically analyze experimental data...
Course Features
- Lectures 1
- Quizzes 0
- Duration 12 hours
- Skill level All levels
- Language English
- Students 33
- Assessments Yes