Machine Learning & Deep Learning in Python & R

 


Machine Learning & Deep Learning in Python & R.

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R.

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 Python.
  • 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 Anaconda software but we have a separate lecture to guide 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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