Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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Updated
Jan 2, 2024 - Python
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
🎃Kaggle-Comptetion-Titanic-Dataset(Codeperfectplus)🏆
predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)
Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
A bot designed to answer live trivia game questions.
RandomForest Regressor Model ML for predicting Price of House.
Joblib-like interface for parallel GPU computations (e.g. data preprocessing)
A roundup of concurrency tools in python [ Python3 ]
A machine learning web app for Boston house price prediction.
This is a machine learning project which implements three different types of regression techniques and formulates differences amongst them by predicting the price of a house based on Boston housing Data.
A GitHub WebCrawler
Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU
Kaggle Notebook for model :
Chrome Extension for Text Sentiment Analysis
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