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
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
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