TSF Task - 1

Prediction using Supervised ML

Predicted the percentage of an student based on the no. of study hours. This is a simple linear regression task as it involves just 2 variables.

Technologies used

• Python
• Jupyter Notebook

Data-set: - http://bit.ly/w-data

TSF Task - 2

Prediction using Unsupervised ML

From the given ‘Iris’ dataset, I predicted the optimum number of clusters and represent it visually.

ALGORITHM USED - K-Means

K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to assign a point to a cluster. In K-Means, each cluster is associated with a centroid.

Technologies used

• Python
• Jupyter Notebook

Data-set: - https://bit.ly/3kXTdox