Introduction to Machine Learning For Beginners [A to Z] 2020

Introduction to Machine Learning For Beginners [A to Z] 2020

Learn to create Machine Learning Algorithms in Python from two Data Science Experts [ Step by Step Guidance ]

What you’ll learn

  • Introduction to Machine Learning:- What is Machine Learning ?, Motivations for Machine Learning, Why Machine Learning? Job Opportunities for Machine Learning
  • Aritificial Intelligence
  • Supervised Learning Techniques:-Regression techniques, Bayer’s theorem, Naïve Bayer’s, Support Vector Machines (SVM), Decision Trees and Random Forest.
  • Unsupervised Learning Techniques:- Clustering, K-Means clustering
  • Setting up the enviroments for Machine Learning
  • Evaluation Metrices
  • Basics for Python Programming
  • Artificial Neural networks [Theory and practical sessions – hands-on sessions]

Requirements

  • Internet Connection
Who this course is for:
  • All who are interested in Machine Learning
  • Undergraduates and Postgraduates who wish to learn Machine Learning
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