This internship is focused on efficiency: never spend time on confusing, out of date, incomplete ways of learning. Get hands on training on Machine Learning. This comprehensive and project-based internship will introduce you to all of the modern skills of a Data Scientist and along the way, you will build many real-world projects to add to your portfolio and solve some real industry challenges. This training would cover the following topics: 

  • Introduction to Statistics
  • Hypothesis Testing
  • Sampling and Visualisation
  • Python Programming Basics and Jupyter Notebook
  • Python Programming Advanced
  • Introduction to Machine Learning
  • Numpy Library
  • Pandas Library
  • Matplotlib Library and Sklearn Library
  • Sklearn Library
  • Linear Regression
  • Logistic Regression
  • Decision Tree and Random Forest
  • Ensemble Techniques
  • Naves Bayes and Support vector machine
  • Unsupervised Learning Algorithms
  • Dimensionality reduction Algorithms
  • Introduction to Deep learning

Who this internship is for:

  1. Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science, Python and has a passion for statistics and Mathematics
  2. You’re looking for one single opportunity to get hands ON Machine learning training to catch up to speed with the modern techniques of the industry.



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