Nestle India Stock Price Prediction Using LSTM, Linear Regression, KNN and K Means Clustering

[vivekvardhan2810]

🛠️ Related Issue

Fixed: #770

📝 Description

Predicting Nestle India Stock Prices involves using various machine learning models like LSTM (Long Short-Term Memory), Linear Regression, KNN and K Means Clustering to analyze historical stock data and forecast future trends. Each model leverages different algorithms and methodologies to enhance prediction accuracy and reliability.

🔍 Type of PR

• ✨ Feature enhancement
• 📚 Documentation update

✅ Checklist

• I have performed a self-review of my code.
• I have read and followed the Contribution Guidelines.
• I have tested the changes thoroughly before submitting this pull request.
• I have provided relevant issue numbers, screenshots, and videos after making the changes.
• I have commented my code, particularly in hard-to-understand areas.

[vivekvardhan2810]

Hi @Akshat111111, Please assign labels GSSOC 24 and appropriate level to this PR. And Merge the PR

Resolves #770

[vivekvardhan2810]

@Akshat111111 sir please review and merge the PR

sir the date is approaching for the completion of gssoc 24

[vivekvardhan2810]

@Akshat111111

[vivekvardhan2810]

@Akshat111111 Sir, please look into this PR and it didn't merged since a week and the deadline is approaching, Please merge it

[Akshat111111]

good work

[github-actions]

🎉 Your pull request has been successfully merged! 🎉 Thank you for your contribution to our project. Your efforts are greatly appreciated. Keep up the fantastic work! 🚀

[vivekvardhan2810]

Thank you @Akshat111111 sir