Analytics Vidhya's Hackathon - Innoplexus' Challenge - Web-page Multi-Class Classification

ENSC 813 Deep Learning Systems in Engineering - Term Project

Solutions to Coursera Machine Learning course ( Stanford University) by Andrew Ng.

Multiclass classification on tweets about the coronavirus

Multiclass Classification to predict the conditions of water wells in Tanzanian communities using data from Taarifa and the Tanzanian Ministry of Water.

An ML Classification model, developed in TensorFlow, which classifies the salary range of an employee based on the employee's company records.

The machine learning task in this assignment is multi-class classification and regression using Neural Networks in Tensorflow/Keras.

An implementation of multiclass perceptron as a digit recognizer

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy

Classify 6 classes of garbage types

Green lense is a mobile app to classify garbage using YOLO ML model and simplify waste management

In this particular project, we have used a pre-trained model to predict our text known as BERT. BERT is an open-source ML framework for Natural Language Processing. BERT stands for Bidirectional Encoder Representations and is a pre-trained model from Google known for producing state-of-the-art results in a wide variety of NLP tasks.

Here you can find pipeline for solving multiclassing task by Sberbank

Translates the live video feed from opencv into text format and displays this onto the frame. Uses LSTM, Dropouts, Regularizers and Learning Rate Scheduler

Multi-class text classification model using the pre-trained BERT model.

Classification of stars, galaxies, and quasars using spectral characteristics.

Implementation of C4.5 + Binarization (OVO / OVA) with/without SMOTE preprocessing. This way, multi-class imbalanced problems can be addressed

Implement Machine Learning Algorithms to Classify Data