Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio
This course includes:
- 13 hours on-demand video
- 6 articles
- 6 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Assignments
- Certificate of completion
What you'll learn
- Learn how to solve real life problem using the Machine learning techniques
- Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
- Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
- Understanding of basics of statistics and concepts of Machine Learning
- How to do basic statistical operations and run ML models in R
- Indepth knowledge of data collection and data preprocessing for Machine Learning problem
- How to convert business problem into a Machine learning problem
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, right?
You've found the right Machine Learning course!
After completing this course you will be able to:
- Confidently build predictive Machine Learning models 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
Also See : Machine Learning A-Z™: Hands-On Python & R In Data Science