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This repository contains all the tasks allotted to me during 1 month internship at The Sparks Foundation under GRIP Program.

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gulvaibhav20/GRIP_Sparks_Foundation_Tasks

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GRIP_Sparks_Foundation_Tasks

This repository contains all the tasks allotted to me during my 1 month Data Science and Machine Learning internship at The Sparks Foundation under GRIP Program.

Task 2 : To explore Supervised Learning

Q - From the given 'Student Marks' dataset, predict the percentage of marks that a student is expected to score based upon the number of hours they studied.
Dataset - Student Marks

Task 3 : To explore Unsupervised Learning

Q - From the given 'Iris' dataset, predict the optimum number of clusters and represent it visually.
Dataset - Iris Flower Species

Task 4 : To explore Decision Trees Algorithm

Q - For the given 'Iris' dataset, create the Decision Tree classifier and visualize it graphically.
Dataset - Iris Flower Species

Task 5 : To explore Business Analytics

Q - Perform 'Exploratory Data Analysis' on the provided dataset 'Sample Superstore'
Dataset - Sample Superstore

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This repository contains all the tasks allotted to me during 1 month internship at The Sparks Foundation under GRIP Program.

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