CONTENT:
- Introduction – Introduction to Machine Learning, Concepts – Task, Experience, Performance
- Working with Machine Learning – How Machine Learning Works, Machine Learning Terminologies
- Types of Learning – Supervised Learning, Unsupervised Learning, Reinforcement Learning
- Modelling – Building a Model, Underfitting, Overfitting, Bias & Variance
- Machine Learning Algorithms – Linear Regression, K Nearest Neighbour
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