There are 36 repositories under machine-learning-projects topic.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
This repository contains all the data analytics projects that I've worked on in python.
DataCamp Project Solutions
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Indian Sign language Recognition using OpenCV
Data Science and Machine Learning projects with source code.
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
A 60 days+ streak of daily learning of ML/DL/Maths concepts through projects
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link
Breast Cancer Detection using ML
This Contain 9 Machine Learning Projects that I have done while understanding ML Concepts.
Quora Question pair similarity - Machine Learning Project
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
Predicts a chance of loan repayment based on historical data
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
A music player which play songs based on your mood. Checkout this link : https://moodmusics.herokuapp.com
Covid-19 Mu Variant [B.1.621] Prediction and Classification Artificial Intelligence/Machine Learning Software
This repo contains Applied datascience capstone project offered by IBM through cousera.
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
API-First approach to make Machine Learning solution usable
It is a full-fetched web application.Based on sentiment classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.
This Repository contains the code, dataset and projects that I made during the learning of machine learning,
Machine Learning Projects
A repository providing demo code for deploying a lightweight Scikit-Learn based ML pipeline modelling heart disease data as a Google Cloud Function.
Solutions to the specialization Deep Learning taught by Andrew NG
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
Data Science Python Beginner Level Project
This project aims to develop a stock prediction application using Machine Learning
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%
A collection of awesome Machine Learning software, libraries, Learning Tutorials, documents, books, resources and interesting stuff in ML