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

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

Tweet Emotion Recognition with TensorFlow (Using a Tokenizer in TensorFlow - Pading and Truncating of Tweets Sequences - Creation and Training of a Recurrent Neural Network - Using NLP and Deep Learning to perform Text Classification)

An implementation of multiclass perceptron as a digit recognizer

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

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

Reduction of child mortality is reflected in several of the United Nations' Sustainable Development Goals and is a key indicator of human progress. The UN expects that by 2030, countries end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce under‑5 mortality to at least as low as 25 per 1,000 l…

Real-time Detection of multilinguistic alphabets and digits with use of a generic camera using OpenCV and recognition of detected alphabets and digits using CNN, Python

Acute Myeloid Leukemia Risk Group Prediction from Gene Expression Data with Feed-Forward Neural Networks

Course project for TDT4310 at NTNU

Multi-class Logistic Regression Classifier with Spatial Pyramid Matching for Feature Extraction

Python based ECG analysis

Determining the class of cancer-causing mutations using text and genetic data

PokeType is a web-based game to find out which type of pokemon for a given photo.

ML model designed to classify consumer complaints into multiple categories, allowing for efficient analysis and resolution of consumer issues.

A bias detection system that takes text as input and analyses Sentence-wise. Developed by Anand Chauhan and Vasu Jain as part of our bachelor's degree