A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Learning to create Machine Learning Algorithms

A MATLAB toolbox for classifier: Version 1.0.7

Slides and Python code examples for undergraduate machine learning

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

Codes and templates for ML algorithms created, modified and optimized in Python and R.

Multi-class classification model for predicting the types of crimes in Toronto

API-First approach to make Machine Learning solution usable

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.

Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.

Git repository for IBM Professional Certification on Data Science

Coursera - Deep Learning Specialization - deeplearning.ai

Classification in Hyperspectral Images using Naive Bayes, minimum Euclidean Distance & k-NN. Machine learning projects implemented in MATLAB.

Machine learning Classification problem with easy understandable solutions

This repository contains a roadmap with examples for machine learning, providing a step-by-step guide to help you navigate the field and acquire the necessary knowledge and skills

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.

Machine Learning Projects Repository

[Coursera] Deep Learning Specialization on Coursera

K-Nearst Algorithm From Scratch( Codeperfectplus )

The task is to classify credit card transactions as fraudulent or legitimate.

This repository classifies mushrooms as poisonous or edible using various machine learning algorithms

Machine Learning tool used to analyze Proposition bets in NFL