https://github.com/abhinavsharma07/grip-tasks
https://github.com/abhinavsharma07/grip-tasks
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/abhinavsharma07/grip-tasks
- Owner: AbhinavSharma07
- Created: 2023-09-18T17:34:34.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-18T17:55:36.000Z (about 2 years ago)
- Last Synced: 2025-09-08T23:33:59.263Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 1.42 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# GRIP-Tasks
# Task-2 : Prediction using Unsupervised ML
1. From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
2. Use R or Python or perform this task.
3. Data can be found at https://bit.ly/3kXTdox
# Task-7 : Stock Market Prediction using Numerical and Textual Analysis
1. 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
5. Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model.