joblib

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

Joblib-like interface for parallel GPU computations (e.g. data preprocessing)

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)🏆

A GitHub WebCrawler

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

Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.

RandomForest Regressor Model ML for predicting Price of House.

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 basic malware detector using Machine Learning

A bot designed to answer live trivia game questions.

A Regression Model that predicts a fish's weight based on its specie, length, width & height.

Projetos de ciência de dados.

Site -> https://hppredictor.herokuapp.com <-💲🏡Predictor that has multiple options to choose from database, so you can predict the price of your dream home.

A machine learning web app for Boston house price prediction.

Digit recognizer with our own dataset

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.

House price prediction using linear regression

Predict the Winning Horse with Supervised Learning (Lucky to have 100% accuracy on small test data)