Skip to content
#

model-training-and-evaluation

Here are 28 public repositories matching this topic...

This project, you will build a full AI pipeline for an image classification task using Convolutional Neural Networks (CNNs). The project will cover data ingestion, preprocessing, model training, deployment, and CI/CD integration using GitHub Actions, Docker, and AWS.

  • Updated Oct 1, 2024
  • Python

This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic Regression and Naive Bayes classifiers, and visualizing frequent words with WordClouds.

  • Updated Aug 8, 2025
  • Python

A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.

  • Updated Nov 30, 2024
  • Python

In this project, I've created an end-to-end ETL pipeline and subsequently developed a machine learning model to predict the price of Amazon products based on several product-related features.

  • Updated Nov 26, 2024
  • Python

This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.

  • Updated Aug 29, 2024
  • Python

This project is an end-to-end MLOps pipeline for a network security system that detects phishing and malicious activities using machine learning. It automates data ingestion, preprocessing, model training, and deployment while leveraging AWS S3 for model storage and GitHub Actions for CI/CD. The system includes realtime monitoring & a web interface

  • Updated Apr 15, 2025
  • Python

Tire condition classification using ResNet and transfer learning. This project applies deep learning to identify whether a tire is in good or bad condition based on image data.

  • Updated Oct 12, 2025
  • Python

implementation of novel Segformer neural network variants dubbed "LRSegformer" which includes Lipschitz-regularized MLP decoder layers to improve training stability and prevent overfitting

  • Updated May 12, 2025
  • Python

This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.

  • Updated Jun 6, 2024
  • Python

A deep learning model that classifies traffic signs using the German Traffic Sign dataset to assist autonomous vehicles in recognizing road signs.

  • Updated May 8, 2025
  • Python

Improve this page

Add a description, image, and links to the model-training-and-evaluation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the model-training-and-evaluation topic, visit your repo's landing page and select "manage topics."

Learn more