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  1. Temperature-Energy-Pricing-Prediction Temperature-Energy-Pricing-Prediction Public

    1. Forecast Temperature Timeseries 2. Predict Spot price with Temperature to calculate payout

    Jupyter Notebook 2

  2. DS-Interview-Preparation DS-Interview-Preparation Public

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  3. Introduction Introduction Public

    Config files for my GitHub profile.

  4. Dispatch-Strategy-Optimization Dispatch-Strategy-Optimization Public

    an algorithm in Python by utilize dynamic programing and ATF optimization to increase the commodity investment revenue by 40%

    Jupyter Notebook

  5. PJM-MAAC-load-Backtesting PJM-MAAC-load-Backtesting Public

    Built multiple nonlinear models (Python) through pipeline to predict power loads, based on weather information such as temperature, dewpoint, humidity and wind speed

    Jupyter Notebook

  6. 10K-filings-MLNLP-Kaggle-Competition 10K-filings-MLNLP-Kaggle-Competition Public

    We have a set of 10k's and their respective sector labels. The goal is to train a model that can predict the sector of a company using only the text from its 10k filing.

    Jupyter Notebook