10000 GitHub - ashwin-j-r/AutoML: Buildathon Repo conducted by Vit Bhopal
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Dataset Preprocessing and ML Model Training Website Welcome to the Dataset Preprocessing and ML Model Training Website repository! This project is a web application designed to facilitate the uploading, preprocessing, and training of various machine learning models on user-provided datasets.

Features

Dataset Upload: Users can upload any dataset in CSV format.

Data Preprocessing: Automatic handling of missing values, normalization, and feature encoding.

Model Training: Train multiple machine learning models, including but not limited to:

Decision Trees Random Forests Support Vector Machines (SVM) AdaBoost

Model Evaluation: Evaluate the performance of the trained models using various metrics.

User Interface: Easy-to-use web interface for uploading datasets, selecting preprocessing options, and training models.

Technologies Used:

Frontend:

HTML, CSS, JavaScript

Backend:

Python Flask

Machine Learning:

Scikit-learn Pandas NumPy

Contributors:

Ashwin JR, Sanjay Jithesh, Fabio Sebastian, Sreeram A,

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Buildathon Repo conducted by Vit Bhopal

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