Skytrax Airlines Customer Satisfaction Analytics - This is my capstone project for General Assembly.

classify network attacks with neural network

google bert multi-class text classifiation

📚 Multi-class classification in IRIS dataset using Deep Neural Network

Intrusion Detection System for MQTT Enabled IoT.

Text-Classifier by SparkML

The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.

Multi-class classification of drug resistance in MTB clinical isolates

In this project we wanted to implement a predictive model that uses images as an input data. These images refer to thirty-eight static gestures, belonging to the American Sign Language (ASL). The gestures represent the English alphabet and the numbers from zero to ten.

Determine Handwritten Digits using Neural Network

This repository was created for the Storming Round of DataStorm 4.0

this project aims work on exploratory data analysis to understand the dataset, developing a multi-class classification model to identify weather conditions, and creating an API to make the model usable in real-world applications.

A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.

Term 2 Project 1 Dog Breed Classifier and human face detector using ImageNet, superhuman CNNs, and Haar Cascades

Identifying vehicle and appliance damage from an image on a scale of low, moderate, high

Predicting the top 3 Booking destinations that a new user will most probably choose.

The ML task is classifying patients as belonging to one out of three categories. Build and optimize a Random-forest multi-class classification model and a PCA multi-class classification model.

A simple Machine learning application to predict the emotion from a user's comment