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https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
https://github.com/ksharma67/ibm-stock-predication-wiith-eda
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 10 days ago
JSON representation
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
- Host: GitHub
- URL: https://github.com/ksharma67/ibm-stock-predication-wiith-eda
- Owner: ksharma67
- Created: 2022-10-14T19:35:33.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-14T19:39:39.000Z (about 2 years ago)
- Last Synced: 2023-03-08T12:19:51.258Z (over 1 year ago)
- Topics: bullish-signal, death-cross, decision-tree, eda, golden-cross, gradient-boosting, knn, machine-learning-algorithms, matplotlib, numpy, pandas, prediction, python, random-forest, scalar, seaborn, skit-learn, svm, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 494 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0