machine-learning-project
There are 46 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 Contain Some Machine Learning Projects that I have done while understanding ML Concepts.
mrdbourke/airbnb-amenity-detection
Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.
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).
dushyant18033/BTC-Price-Prediction-ML-Project
This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.
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.
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
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
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
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.
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.
Vatshayan/AI-Based-Stock-Forecast-using-AWS-Forecast
Stock Forecasting System using AWS forecast.
EthioAI/Chronic-Kidney-Disease-Prediction
A Chronic Kidney Disease prediction machine learning model
Shankar2442/MovingObjectDetection
Moving Object Detection with python using openCV
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.
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.
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
Divyam6969/Pneumonia-Detection-AI
Pneumonia detection ML model
oomeryk/data-science-project-about-rental-houses
Data science project consisting of 4 parts: 1-Web Scraping 2-Data Analysis 3-Data Visualization 4-Machine Learning
sahaavi/Housing-Price-Prediction
End-to-End Machine Learning/Data Science Project
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.
ahmadsotoude/Movie_Recommendation_ContentBased
Content-Based Movie Recommendation System
AxelSeanCP/Anime-Recommender-System
A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
nsavarn/ntiwari-PGDBA-miniproject
PGDBA - ML-miniproject - Telephone-Data-Churn
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.
suryanshyaknow/faulty-wafer-component-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
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
Vatshayan/Car-Price-Prediction-Project
Car Price Prediction Project through Machine Learning Algorithm with Video Implementation
vaxherra/Arvato-Customer-Segmentation
Customer Segmentation Report for Arvato Financial Services
Yash-Barjatya/Fake_News_Detection
Fake News Detection using Machine Learning Algorithms and deploying using Flask
Ashleshad/WalmartSales
Machine Learning Project to predict ratings.