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1. 24-Hour-Carbon-Intensity-Forecasting-using-XGBoost-and-LSTM 24-Hour-Carbon-Intensity-Forecasting-using-XGBoost-and-LSTM Public

   Machine learning models for 24-hour carbon intensity forecasting of the power grid, using 30-minute intervals. Implements XGBoost and LSTM for accurate, time-series predictions to assess grid emiss…

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2. PV-Solar-Power-Generation-Time-Series-Forecasting PV-Solar-Power-Generation-Time-Series-Forecasting Public

   This project aims to comprehensively assess and compare the predictive capabilities of diverse RNN variants such as the LSTM, Bi-LSTM, and GRU, against traditional ARMA and ARIMA time series models…

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3. PV-Solar-Panel-Dust-Detection-Project PV-Solar-Panel-Dust-Detection-Project Public

   This project's primary objective is to investigate various computer vision modes, including HSV, Grayscale, and RGB while employing a range of CNN transfer learning model architectures. The ultimat…

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4. Data-Science-Maternity-Health-Project Data-Science-Maternity-Health-Project Public

   Exploring various Feature Selection methods in building our model. Use of PCA and Association Pattern Mining.

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5. Data-Science-Census-Project Data-Science-Census-Project Public

   Data Cleaning, Data Visualization, Data Analysis and Project Report

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6. Data-Science-Python-Programming-Project Data-Science-Python-Programming-Project Public

   Data Processing and Data Visualisation using Python Programming Language

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