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https://github.com/blankscreen-exe/tsf_datascience

Repo for all TSF internship tasks
https://github.com/blankscreen-exe/tsf_datascience

data-analysis data-mining data-mining-algorithms python

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Repo for all TSF internship tasks

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# The Sparks Foundation Internship - Data Science & Business Analytics

This repo contains all of my [The Sparks Foundation Internship](https://internship.thesparksfoundation.info/) tasks for _Data Science_ and _Business Analytics_

### Task List:
- [x] **Prediction: using Supervised ML**
- Predict student's percentage/grades based on the number of study hours
- Use Linear Regression to solve the problem
- [x] **Prediction: using Unsupervised ML**
- Determine the optimum number of clusters
- Visualize the clusters
- Use Iris dataset for this job
- [x] **Exploraroty Data Analysis: Retail**
- Perform EDA on a Superstore dataset
- As a business manager, try to find the weak areas to optimize profits
- Derive the business problems according to the data
- [x] **Exploraroty Data Analysis: Terrorrism**
- Perform EDA on a Global Terrorism dataset
- As a security/defense analyst, try to find the hot zones for terrorism
- Determine the security issues and insights from the data
- [x] **Exploraroty Data Analysis: Sports**
- Perform EDA on a Indian Premier League dataset
- As a sports analyst, find out the most successful teams, players and factors contributiong win/loss for a team
- [x] **Prediction: Using Decision Tree**
- Create a Decision Tree Classifier
- Visualize the classifier
- Use Iris dataset for this job
- [ ] **Prediction: Using Numerical & Textual Analysis**
- Create a hybrid model for stock price/performance prediction
- Use numerical analysis of historic stock prices and sentimental analysis of news headlines
- [ ] **Prediction: Using Timeline Analysis**
- Create a story board showing COVID-19 cases in your country and region
- Use animation and annotations to create dashboards
- Identify patterns and possible reasons helping COVID-19 spread with basic as well as advanced charts

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**Author:** *Muhammad Hammad Hassan*