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