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