Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

Summer training programs are specialized educational or professional development courses conducted during the summer break. They are designed to provide participants, typically students or early-career professionals, with practical experience and skills in specific fields. 😎🥰🚅🚄

Agri AI is an advanced precision agriculture platform designed to aid farmers and agricultural enthusiasts in making more informed decisions regarding crop management, pest control, and yield prediction. At its core, the platform utilizes sophisticated machine learning algorithms, specifically the Random Forest and XGBoost models, to analyze data

Object Detection with CNN (Using YOLOv3)" teaches the implementation of YOLOv3 for real-time object detection. Learn CNN fundamentals, YOLO architecture, and practical techniques for training models to identify objects in images and videos efficiently. Ideal for advancing skills in computer vision and deep learning.

Image classification using transfer learning with VGG16 on the CIFAR-10 dataset, implemented with TensorFlow and Keras.

ML model to detect the breast cancer.

fake news detection using passive Aggresive classifier

A prediction for whether a loan is approved on various factors

Your backend, minus the hassle.