The Sparks Foundation Tasks

This repository contains the tasks that I completed while working as an intern for The Sparks Foundation.

🌟 Task 1 - Prediction using Supervised ML (Level - Beginner)

Problem statement:

1. Predict the percentage of marks of an student based on the number of study hours.
2. This is a simple linear regression task as it involves just 2 variables.
3. What will be predicted score if a student studies for 9.25 hrs/ day?
4. Data can be found at http://bit.ly/w-data .

Solution:

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🌟 Task 2 - Prediction using Unsupervised ML (Level - Beginner)

Problem Statement:

1. From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
2. Data can be found at https://bit.ly/3kXTdox .

Solution:

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🌟 Task 3 - Exploratory Data Analysis - Retail (Level - Beginner)

Problem statement:

1. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’
2. As a business manager, try to find out the weak areas where you can work to make more profit.
3. What all business problems you can derive by exploring the data?
4. Data can be found at https://bit.ly/3i4rbWl

Solution:

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🌟 Task 4 - Stock Market Prediction using Numerical and Textual Analysis (Level - Advanced)

Problem statement:

1. Objective: Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines
2. Stock to analyze and predict - SENSEX (S&P BSE SENSEX)
3. Download historical stock prices from finance.yahoo.com
4. Download textual (news) data from https://bit.ly/36fFPI6

Solution:

✨ Contribution

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