What you'll learn:
1) Learn how to solve real life problem using the Machine learning techniques2) Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
3) Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
4) Understanding of basics of statistics and concepts of Machine Learning
4) Understanding of basics of statistics and concepts of Machine Learning
5) How to do basic statistical operations and run ML models in R
Indepth knowledge of data collection and data preprocessing for Machine Learning problem
Indepth knowledge of data collection and data preprocessing for Machine Learning problem
6) How to convert business problem into a Machine learning problem
Requirements:
Students will need to install R and R studio software but we have a separate lecture to help you install the same.
Description:
You're looking for a complete Machine Learning course that can help you launch a flourishing career in the field of Data Science, Machine Learning, R and Predictive Modeling, right?
You've found the right Machine Learning course!
After completing this course, you will be able to:
· Confidently build predictive Machine Learning models using R to solve business problems and create business strategy
· Answer Machine Learning related interview questions
· Participate and perform in online Data Analytics competitions such as Kaggle competitions
Check out the table of contents below to see what all Machine Learning models you are going to learn.