a delightful machine learning tool that allows you to train, test, and use models without writing code
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Updated
Apr 8, 2023 - Python
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
This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
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 t…
This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
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.
A Classification Problem which predicts if a loan will get approved or not.
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
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.
Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio
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
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.
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