Complete Machine Learning with R Studio ML for 2020 | Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio

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Requirements:

Students will need to install R and R studio software but we have a separate lecture to help you install the same

Who this course is for:

People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience

What You will Learn:

Learn how to solve the real-life problem using the Machine learning techniques
Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM, etc.
How to do basic statistical operations and run ML models in R
How to convert a business problem into a Machine learning problem
Machine Learning models such as Linear Regression, Logistic Regression, KNN, etc.
Understanding of basics of statistics and concepts of Machine Learning
In-depth knowledge of data collection and data preprocessing for Machine Learning problem

This course includes:

13 hours of on-demand video
5 articles
4 downloadable resources
Full lifetime access
Access on mobile and TV
Assignments
Certificate of completion
free machine learning course

Complete Machine Learning with R Studio ML for 2020

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B.E/B.Tech off campus Drives

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off campus drive for 2021 batch