🔍 | 📈 | Life / Health Insurance Fraud Detection | 📋 | (Codeshahstra Round 1 Hackathon)
Diabetes Prediction Project
A study in K-Means clustering and MLP methods for digit recognition and classification.
Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.
Multilayer Perceptron Model for Projecting Crop Product Export Value Forecasting
Spam SMS Detection model is a powerful solution built to identify and classify spam messages using the Naive Bayes algorithm. The accompanying Flask interface provides users with a seamless experience for submitting SMS entries, tracking usage, and receiving real-time classification results.
Program performs text classification using BERT vector with Logistic Regression and Neural Network Models.
Some introductory data science projects, along with code and documentation. Of course, these projects are university projects.
The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.
Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.
Classification multi-classes en utilisant le MLPClassifier de scikit-learn sur le Forest Cover Type Dataset.
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