Five Minute Midas
Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 30 Days Of Python | 28,478 | 3 months ago | 1 | August 12, 2022 | 121 | Python | ||||
| 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw | ||||||||||
| Python Roadmap | 334 | a year ago | Jupyter Notebook | |||||||
| Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms | ||||||||||
| Flask Framework | 70 | a year ago | HTML | |||||||
| Basic template for using Flask on Render | ||||||||||
| Five Minute Midas | 32 | 3 years ago | mit | Python | ||||||
| Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit | ||||||||||
| Capstone_p2p | 31 | 6 years ago | Jupyter Notebook | |||||||
| Nyu Info 2335 201706 | 13 | 5 years ago | 1 | other | ||||||
| Programming in Python and Fundamentals of Software Development - Summer 2017 | ||||||||||
| Exploratory Data Analysis App | 11 | a year ago | 7 | mit | Python | |||||
| Analyze the descriptive statistics and the distribution of your data. Preview and save your graphics. | ||||||||||
| Analyze Turkish Sentiment | 11 | 4 years ago | gpl-3.0 | Python | ||||||
| Sentiment Analysis on Turkish Texts using LSTM with Keras | ||||||||||
| Playwithml | 6 | 3 years ago | 2 | August 17, 2020 | apache-2.0 | Python | ||||
| A project where we can try to experiment with our dataset and try it on different models. This is not exactly an AutoML. This is just for fun. | ||||||||||
| Uarizona Salary App | 6 | a year ago | 7 | mit | Python | |||||
| Streamlit app to illustrate University of Arizona public salary data | ||||||||||
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