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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