Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
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Updated
Jul 4, 2023 - HTML
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
Trained a model using AutoGluon’s Tabular Prediction for Kaggle competition
This project is an exploratory data analysis of Homicide database released by FBI.
AI project using deep learning (CNN) to flower classification
Predict game outcome from first 10 minutes of League of Legends plays using random forest
First project in AWS Machine Learning Fundamentals Nanodegree
Random assignments from Kaggle. I don't usually do them, but just in case.
Generated several multi-target regression models using SKLearn and CuML to predict drug mechanisms of action using cell viability and gene expression data generated through in vitro experiments.
The code and report of the 3MD4040 2022 challenge
Explore and summarize E-commerce Data with R
Developed a predictive and planet categorization model using supervised and unsupervised learning techniques respectively to predict whether a Kepler Object of Interest is classified as a candidate, confirmed or false positive. Derived an accuracy classification rate of 89% by utilizing the following classification techniques: Decision Tree, Ran…
Complete files and script for Kaggle ML & DS Survey.The work can be found at
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