scikitlearn-machine-learning

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Disease Prediction based on Symptoms.

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

Smart agricultural system to recommend most profitable crops to farmers

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

Spatial cross-validation in Python.

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

A Classification Problem which predicts if a loan will get approved or not.

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.

An evaluation of word-embeddings for classification

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

Leaf Disease Detection using Image Processing and Deep Learning

Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.