machine-learning-project
There are 52 repositories under machine-learning-project topic.
qxresearch/qxresearch-event-1
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
shsarv/Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
data-flair/machine-learning-projects
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
mrdbourke/airbnb-amenity-detection
Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.
Priyansh42/Lung-Cancer-Detection
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
dushyant18033/BTC-Price-Prediction-ML-Project
This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.
Vatshayan/Android-Malware-Detection-Using-Machine-Learning
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
Vatshayan/Final-Year-Credit-Card-Fraud-Detection-Project
Credit Card Fraud Detection Project with Code and Documents
emirhanai/Estimated-annual-CO2-emissions-from-diesel-generators-at-mobile-or-cell-towers
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
prateekmahajan/YogaPoseCorrector
This project guides the user till they perform correct yoga pose.
storieswithsiva/Text-Mining-in-R
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
Vatshayan/AI-Based-Stock-Forecast-using-AWS-Forecast
Stock Forecasting System using AWS forecast.
pdivya-mca/Customer-Conversion-Prediction
This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.
Shankar2442/MovingObjectDetection
Moving Object Detection with python using openCV
madhurimarawat/ML-Model-Datasets-Using-Streamlits
This repository contains my machine learning models implementation code using streamlit in the Python programming language.
Jesus-Vazquez-A/Insurence
We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.
Divyam6969/Pneumonia-Detection-AI
Pneumonia detection ML model
mohd-faizy/09P_Detecting_COVID_19_with_Chest_X-Ray_using_PyTorch
Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle
roshancyriacmathew/House-value-prediction-using-machine-learning-
This project is about creating a machine learning model that can predict the house value based on the given dataset. We use different machine learning algorithms such as linear regression, decision tree and random forest to train the model, and the model that gives the best performance is used to predict the house value for new data.
Vatshayan/Car-Price-Prediction-Project
Car Price Prediction Project through Machine Learning Algorithm with Video Implementation
oomeryk/data-science-project-about-rental-houses
Data science project consisting of 4 parts: 1-Web Scraping 2-Data Preprocessing 3-Data Visualization 4-Machine Learning
tdishant/Banknote-Authentication
Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy of these algorithms in differentiating counterfeit bank notes from legitimate notes
Yash-Barjatya/Fake_News_Detection
Fake News Detection using Machine Learning Algorithms and deploying using Flask
Abhijit460/Restaurant-review-using-NLP
This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.
Ashleshad/WalmartSales
Machine Learning Project to predict ratings.
atharvapathak/House_Price_Prediction_Project
This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.
AxelSeanCP/Anime-Recommender-System
A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
negativenagesh/Arecaverse
Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention
omkarpawar1430/Energy-Efficiency-with-Linear-Regression-Vs-Random-Forest
Internship project of Machine Learnig on Enegry Efficiency to estimate the heating load (HL) and cooling load (CL) using two different approaches: a traditional linear regression approach and a state-of-the-art nonlinear non-parametric method called random forests.
Sajjad-Amjad/Emotion-Classifier-App-
A end-to-end NLP based app to classify emotions on text data...
shsarv/Predicting-Property-Maintenance-Fines
This is based on a data challenge from the Michigan Data Science Team (MDST). The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by the city to individuals who allow their properties to remain in a deteriorated condition. Every year, the city of Detroit issues millions of dollars in fines to residents and every year, many of these fines remain unpaid. Enforcing unpaid blight fines is a costly and tedious process, so the city wants to know: how can we increase blight ticket compliance?
suryanshyaknow/APS-fault-detection
based on the befitting sensors fetched data, prediction is to be made whether the failure in a vehicle is due to APS or some other component. Emphasis is on reducing the consequential cost by reducing the false positives and false negatives and more importantly false negatives as it appears cost incurred due to them is 50 times higher.
pranjalsarang24/machine-learning-project-prediction
A project of breast cancer prediction using machine learning we have made in it.we have used logistic regression model.A flask app for backend ,& you can run this on VS code.