Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio
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
- Learn about Univariate, Bivariate and Multivariate Analysis.
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. How will this course help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning, R and predictive modelling in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning, R and predictive modelling.
Author(s): Start-Tech Academy
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