Source for book "Feature Engineering A-Z"

Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machine Learning, Business Intelligence, and Business Analytics. This Tutorial Focuses to help the Beginners to learn the core Concepts of Numpy and Pandas and get started with Machine Learning and Data Science.

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Simple in-memory vector database for text similarity in Node.js

AICUP 2024 Cross-camera Multiple-object tracking

The code for the survey paper of feature extraction

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

Feature Extraction from Image using Local Binary Pattern and Local Derivative Pattern. A contribution to an Open Source Research Project based on building a Python library for feature extraction from images.

A novel feature selection algorithm using ACO-Ant Colony Optimization, to extract feature words from a given web page and then to generate an optimal feature set based on ACO Metaheuristics and normalized weight defined as a learning function of their learned weights, position and frequency of feature in the web page. JAVA based ACO Framework

The "Movie Genre Prediction" project is a comprehensive machine learning system designed to forecast a movie's genre by analyzing its attributes. By employing advanced machine learning methods, it strives to improve genre classification accuracy, offering valuable insights to creators, film aficionados, and the entertainment sector.

Shiny Web Application for Protein Sequence-Derived Descriptor Computation

This project crawls Amazon reviews and extracts features and opinions to calculate a feature based rating of every product (mainly smartphones) Done with python, pyqt5

Evaluation of features for football analysis based on graph representation

Generalized factor model for ultrahigh dimensional mixed-type data

A web application developed to generate captions from images. It can also detect edges and corners of an image. Furthermore, it can perform comparative anomaly detection.

Recommendation of similar images to the given image using ResNet50, K-Means and cosine similarity.

Build an algorithm to best identify potential donors of CharityML