STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
CSGO-Pro-Gear-Performance-and-EDA
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA | CSGO-Pro-Gear-Performance-and-EDA | |
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3 | 5 | |
116 | 1 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
CSGO-Pro-Gear-Performance-and-EDA
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then.
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github.
- I wanted to share my first personal data science project. I'm also looking for criticism. I set out to see how well you could model CS:GO player's accuracy performance based on their gear and settings alone. Please check out my repo link in the text!
- I wanted to share my first personal data science project. I'm also looking for criticism. I set out to model CS:GO player's accuracy performance based on their gear and settings alone. Sorry if this counts as self promotion. Please check out my repo link in the text!
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