joblib

dudley-fitzgerald/AutomatedWellLogCorrelation

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

vlivashkin/GPUParallel

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

patelpurvip/Spotify-hitpredictor

A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.

esvs2202/Concrete-Compressive-Strength-Prediction

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.

Tejas-TA/Transformer-BERT-SMS-Spam-Detection

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

esharma3/fish_weight_prediction_machine_learning

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

mvgolom/hydra-head

A GitHub WebCrawler

cchandre/Polarimetry

PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples

codeperfectplus/KaggleComptetionTitanic

:jack_o_lantern:Kaggle-Comptetion-Titanic-Dataset(Codeperfectplus):trophy:

etchsaleh/triviaBot

A bot designed to answer live trivia game questions.

Keshav25-2002/Bigmart-Sales-Prediction-Ineuron-Internship-

Primary aim of this project is to build machine learning model that give the should able to predict the sales of the different stores of Big Mart according to the provided dataset.

lykmapipo/Python-Joblib-Cookbook

A step-by-step guide to master various aspects of Joblib for parallel computing in Python

ptyadana/ML-Music-Recommender

Machine Learning Project for recommendations of music genre based on age and gender

SandeshGhi/Real-Estate-Housing-Price-Predictor

RandomForest Regressor Model ML for predicting Price of House.

greed2411/ASF

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

NHLOCAL/is-this-bible

An IA model that detects whether a given verse is from the Bible or not

prabormukherjee/Antivirus

A basic malware detector using Machine Learning

SenZmaKi/NyakaMwizi

A credit card fraud detection machine learning model

SRIKANTH284/healthbot-ml

HealthBotML is an intelligent healthcare companion powered by machine learning (ML) and artificial intelligence (AI). With HealthBotML, you can seamlessly check your Body Mass Index (BMI) and engage in informative conversations about various diseases.

yyzz1010/Predictive_Modeling_Hong_Kong_Horse_Racing

predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)

34j/cached-historical-data-fetcher

Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.

adnan2232/RealTimeFaceDetection

Real time face detection and recognition integrating with CCTV

Ashishdheer/Time-series-forecasting

domingosdeeulariadumba/LaptopPriceAnalysis

Laptop price prediction model using XGB, Ridge, Lasso and SciKit-learn's Linear Regression. In the end, I deployed the best one using Joblib and Gradio.

EliaFantini/Q-NIM-ai-learns-to-play-Nim-using-standard-and-deep-Q-Learning

Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.

taneemishere/Spam-Comment-Detector

A Machine Learning Application that when you provide a comment and in return it predicts you whether it is spam or not.

ucalyptus/scikit-on-gRPC

Using Protocol Buffers and gRPC client-server communication to deploy a scikit-learn joblib exported model.

franciskyalo/travelinsuranceprediction

This project aims to develop a predictive model for ExploreXperience, a tour company offering travel insurance, to identify customers more likely to purchase insurance post the Covid-19 pandemic.

LadityaGogoi/ShadowGuard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

lykmapipo/US-Inaugural-Addresses

Python scripts to download, process, and analyze US Inaugural Addresses

nordszamora/sentiment

This ML project is used to predict the text sentiment positive, negative or neutral. Its used a Reddit dataset in kaggle to train the model and make a prediction on new/unseen data.

NVS7/Py-Machine_Learning

Sankhadip-007/doctor-AI

📱mern application for doctor appointment system along with AI tools 🩺

Yego99/ML-algorithms-for-Iris-classification

For this project I played around with and trained 2 machine learning algorithms to see which would classify the iris data set more accurately.

yujansaya/harmful_brain_acitivity

Harmful Brain Activity Detection Classification - Classify seizures and other patterns of harmful brain activity in critically ill patients