MachineLearningStocks
nyc_traffic_flask
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| MachineLearningStocks | nyc_traffic_flask | |
|---|---|---|
| 57 | 2 | |
| 1,643 | 2 | |
| - | - | |
| 0.0 | 7.4 | |
| 2 months ago | 9 months ago | |
| Python | Python | |
| MIT License | - |
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MachineLearningStocks
- Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1520.0
- Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1411.0
nyc_traffic_flask
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Where to incorporate MLops into my project?
I have an on/off data science project that uses ML to predict traffic. Lately, I've been wanting to practice more of the Software dev side of data science like DE and MLops. I'm wondering if there's any ways to potentially inject elements of MLops into said project, just for the sake of practice.
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I made a Flask app that predicts traffic in an NYC Street.
https://github.com/benduong2001/nyc_traffic_flask Lemme know if it works.
What are some alternatives?
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
MAPIE - A scikit-learn-compatible module for estimating prediction intervals.
zvt - modular quant framework.
superduperdb - 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
pybroker - Algorithmic Trading in Python with Machine Learning
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
CV-compare - Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices
ibkr-options-volatility-trading - Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API