Includes tasks completed during the data-science internship at The Sparks Foundation.
Here, are the links to the implemented tasks:
It is a basic level implementation of a supervised machine learning model trained on Linear Regression.
Here the objective is to predict the marks that a student can score, provided number of hours he/she studies.
To access the python notebook, visit here.
It is a basic level implementation of an unsupervised machine learning model using KMeans Clustering.
Here the objective is to predict the optimal clusters for Iris dataset.
To access the python notebook, visit here.
These tasks were done as the internship projects.