This repository contains all the tasks with videos for the Data Science and Analytics Intern at The Sparks Foundation.
Jupyter NotebookMIT
The Sparks Foundation -Graduation Rotational Internship Program
This repository is dedicated to the completion of all my tasks with videos from The Sparks Foundation (Graduate Rotational Internship Program).
As of now, I will be updating the tasks from my domain : Data Science and Business Analytics for the May 2021 batch.
Tools/IDE : Python/Google Colab/Jupyter Notebook
Technical : Task 1 - Prediction using Supervised ML (Level - Beginner)
Predict the percentage of an student based on the no. of study hours.
This is supposed to be done with linear regression as we will be using just 2 variables.
Code for this model can be found at : Task_3_Code.
Video for this model can be found at : Task_3_Video.
What are we supposed to do with the given dataset?
As a business manager, we will try to find out the weak areas where we can work tomake more profit. Also, what all business problems can be derived by exploring the data.