The objective is to build a predictive model to predict sales demand for comic book toys using Time Series

Demo for Lazy Predict Library!

This project addresses the challenges of AI-generated content, such as misinformation and bias, by developing a machine-learning algorithm that distinguishes between AI-generated and human-generated texts. This solution enhances content authenticity and mitigates associated risks.

Autism Prediction in Adults

AutoML Package for faster developing

The correct prediction of heart disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. In this paper different machine learning algorithms and H20 AutoML are applied to compare the results and analysis of the Machine Learning Heart Disease dataset.

2022F SoC Co-op AutoML Pre-training in Agent Machine Learning Lab with Prof.Sungjin Ahn in 2022 Summer

Prediction of the energy consumption in French metropolitan areas

mlopt is an AutoML library. Implementing some meta-heuristics optimization algorithms to generate fully trained and hyper parameterized ML models. The most used are Genetic Algorithm, PSO Algorithm and ACO Algorithm.

Use your skills to help construct a sustainable society by predicting temperature in smart homes.

Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.

Auto ML application app with dash. Classification and Regression algorithms.

Predict the likelihood of a genome sequence undergoing mutation.

Let’s practice and become familiar with classification algorithms.

🚲📈📊 Udacity AWS-MLE Nanodegree project 1️⃣ - Submission to the Bike Sharing Demand Prediction Competition on Kaggle using awslabs autogluon library, Competition link : https://www.kaggle.com/c/bike-sharing-demand/overview

Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning

Development of an AutoML System to Predict the Compressive Strength of Concrete

Knowledge-driven AutoML

AutoML as a Service.