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Machine Learning Bootcamp , Covered about intro to mL, types of learning, Various algorithm, Linear regression.

- 3. WHAT IS MACHINE LEARNING (ML) ? Google Developers Student Clubs C.V. Raman Global University, Bhubaneswar
- 4. Machine learning is a branch of Artificial Intelligence and Computer Science that focuses on using DATA and ALGORITHMS to imitate how humans learn, gradually improving its accuracy.
- 5. C.V. Raman Global University, Bhubaneswar
- 6. C.V. Raman Global University, Bhubaneswar
- 7. C.V. Raman Global University, Bhubaneswar
- 8. C.V. Raman Global University, Bhubaneswar
- 9. C.V. Raman Global University, Bhubaneswar LINEAR REGRESSION • Linear regression is a regression algorithm. • Linear regression is used for regression tasks where the goal is to predict a continuous output variable. It models the relationship between input features and the target variable as a linear equation. • The algorithm learns the coefficients (weights) that best fit the data to minimize the sum of squared differences between predictions and actual values.
- 10. C.V. Raman Global University, Bhubaneswar Mathematically, we can represent a linear regression as: y= a0+a1x+ ε
- 11. C.V. Raman Global University, Bhubaneswar K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on the Supervised Learning technique. K-NN algorithm assumes the similarity between the new case/data and available cases and puts the new case into the category that is most similar to the available categories
- 12. CONGRATULATIONS! YOU LEARNT SOMETHING NEW TODAY