Topic: "random-forest-classifier"
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Language: Python - Size: 944 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 621 - Forks: 242

srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
Language: Python - Size: 10.8 MB - Last synced at: 5 days ago - Pushed at: almost 4 years ago - Stars: 388 - Forks: 195

benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Language: Python - Size: 826 KB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 220 - Forks: 35

theDefiBat/ROAD-ACCIDENTS-PREDICTION-AND-CLASSIFICATION
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
Language: HTML - Size: 8.17 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 79 - Forks: 36

MrKhan0747/Diabetes-Prediction
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 62 - Forks: 50

aziztitu/football-match-predictor
A machine learning project that predicts results of a football match
Language: Python - Size: 20.1 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 62 - Forks: 23

kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 58 - Forks: 35

LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 19

Snigdho8869/Multiclass-Text-Classification
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 24 - Forks: 5

Iretha/IoT23-network-traffic-anomalies-classification
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Language: Python - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 24 - Forks: 6

AnMol12499/CropcareAI
An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming
Language: Jupyter Notebook - Size: 38.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

jan-janssen/gmailsorter
Similarity based email sorting for Google Mail using RandomForest classifiers
Language: Python - Size: 8.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 19 - Forks: 1

Frightera/Sample-Machine-Learning-Projects
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
Language: Jupyter Notebook - Size: 73.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 19 - Forks: 4

kennedyCzar/URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST
URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
Language: Python - Size: 71.6 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 18 - Forks: 4

athiyadeviyani/IGAudit
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
Language: Jupyter Notebook - Size: 2.77 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 3

ravikant-diwakar/AgriSens
Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.
Language: Jupyter Notebook - Size: 145 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 15 - Forks: 12

VenkateshBH99/Hybrid-Random-Forest-Linear-Model
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Language: Python - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 22

amstuta/random-forest
Implementation of a Random Forest classifier in both Python and Scala
Language: Scala - Size: 293 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 16

tjnel/DSU_INSuRE_SP19_IDS_Prioritization
IDS Alert Prioritization INSuRE Research Project
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 15 - Forks: 6

dayfundora/Personality-Type
Recognition of Persomnality Types from Facebook status using Machine Learning
Language: JavaScript - Size: 7.16 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 6

ikmckenz/target-pred-py
A simple machine learning model for small-molecule target prediction in Python.
Language: Python - Size: 282 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 9

parthsompura/Disease-prediction-using-Machine-Learning
Implementation of various machine learning algorithms to predict the disease from symptoms.
Language: Python - Size: 51.8 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 6

StarlangSoftware/Classification-Py
Machine learning library for classification tasks
Language: Python - Size: 1.4 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 13 - Forks: 2

MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
Language: HTML - Size: 25.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 6

leaemiliepradier/PlasForest
A random forest classifier to identify contigs of plasmid origin in contig and scaffold genomes
Language: Python - Size: 89.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 6

kanchitank/Mushroom-Classification
A machine-learning project to determine if a certain mushroom is edible or poisonous.
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 13

sharmaroshan/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 11

Dalageo/ML-TitanicShipwreck
Exploring the World's Most Renowned Shipwreck 🚢
Language: Jupyter Notebook - Size: 990 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 12 - Forks: 2

akbloodadarsh/Twitter-Sentimental-Analysis
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.
Language: Python - Size: 93.8 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 12

patelpurvip/Spotify-hitpredictor
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 7

teddyoweh/spambase-classification
A machine learning model created with random forest classifier to show the probability and predict if an email is spam or non spam
Language: Jupyter Notebook - Size: 123 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 0

bharathsudharsan/ML-Classifiers-on-MCUs
Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware'
Language: Jupyter Notebook - Size: 584 KB - Last synced at: 17 days ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

edukait/glioma-classification
The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.
Language: Jupyter Notebook - Size: 39.5 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 12 - Forks: 10

edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

aj1365/DeepForest-Wetland-Paper
Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1

krunal-nagda/Credit-Card-Fraud-Detection-Capstone-Project---Decision-Tree-and-Random-Forest
In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.
Language: Jupyter Notebook - Size: 214 KB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 9

edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

ashishrana1501/Forest-Fire-Prediction
Algerian Forest Fire Prediction
Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1

subhadeep-123/Breast-Cancer-Detection
Breast Cancer Wisconsin (Diagnostic) Prediction Using Various Architecture, though XgBoost Classifier out performed all
Language: Jupyter Notebook - Size: 390 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 9

Yash22222/IBM-CSRBOX-Internship-Project
The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects
Language: Jupyter Notebook - Size: 5.28 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 6

Aficionado45/IM-Fault-Detection
Working in the field of predictive modelling to detect and classify various types of faults in induction motors by deploying various ML algorithms over the vibration and current signals data.
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 1

tara-nguyen/english-premier-league-random-forest-analysis
Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)
Language: R - Size: 2.01 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0

sushant1827/Human-Activity-Recognition-with-Smartphones
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

StarlangSoftware/Classification
Machine learning library for classification tasks
Language: Java - Size: 2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 6

nafisalawalidris/Fraud-Detection-with-Supervised-Learning
This repository contains a basic fraud detection system utilising supervised learning techniques to identify potentially fraudulent credit card transactions. The project establishes a baseline model that addresses the challenges of credit card fraud in financial institutions.
Language: Jupyter Notebook - Size: 4.76 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 7 - Forks: 1

minhAI2045/Build-model-predicting-diabetes
Deep Learning; Machine Learning ; Sklearn ; Seaborn ;Matplotlib; Pycharm
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 3

Ruban2205/Machine_learning_fundamentals
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

Devvrat53/Flight-Delay-Prediction
A web app for Flight Delay Prediction using Random Forest Classifier
Language: Python - Size: 79 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 6

FatemehGholamzadeh/Machine-Learning
Assignments of Machine Learning Graduate Course - Spring 2021
Language: Jupyter Notebook - Size: 25 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

Aakarsh-verma/Alegria-Hackathon-Hiring-Webapp
An winning solution for Alegria Hackathon-2021. An Hiring Manager web app which uses pyresparser in python to parse pdf file of Resume/CV's and uses Random Forest Classifier in python to shortlist the cv's.
Language: PHP - Size: 2.02 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

Brice-Vergnou/spotify_recommendation
Finding which songs I like or not based on songs statistics
Language: Jupyter Notebook - Size: 398 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 4

athrvkk/Flipkart-Product-Category-Classification
Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.
Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 5

Ayantika22/Linear-discriminant-Analysis-LDA-for-Wine-Dataset
Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning
Language: Jupyter Notebook - Size: 42 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 5

ucsb-seclab/LoopMC
All code related to the LoopMC paper
Language: Python - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1

DanielDaCosta/disaster-webapp
The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.
Language: Python - Size: 10.7 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0

rochitasundar/Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

brunocampos01/predict-which-customers-a-call-center-should-contact
Predict which customers should a call-center call for greater assertiveness in a sale
Language: Python - Size: 16 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

hi-tech-jazz/hybridforest 📦
HybridForest provides random forests built upon combinations of different decision tree algorithms to achieve diverse tree ensembles. Project status: In development.
Language: Ruby - Size: 109 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

emirhanai/Machine-Learning-Prediction-Software-Based-on-Classification-and-Regression-Based-on-Processor-CPU
Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications
Language: Python - Size: 322 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

ferdouszislam/Android-Malware-Detection-ML
Android malware detection from static features with ML classification algorithms- Decision Tree, K-Nearest Neighbours, Linear SVM and Random Forest.
Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 5

agomolka/AdultIncomeAnalysis
Predict whether income exceeds $50K/yr based on census data.
Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 0

merb92/fake-news-classification
Classify news stories as fake or truthful to help a social media platform reduce its risk of negative PR and related financial losses using Natural Language Processing (NLP) and Machine Learning
Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 5

Davisy/Random-Forest-classification-Tutorial
Introduction to Random Forest Algorithm for classification problem and how to select important feaatures in your dataset.
Language: Jupyter Notebook - Size: 660 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 8

VinitSR7/Instagram-Followee-Prediction
Given a directed social graph, we have to predict missing edges to recommend friends/connnections/followers in the graph.
Language: Jupyter Notebook - Size: 279 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 6

HMS-IDAC/PixelClassifier
A single-layer Random Forest model for pixel classification (image segmentation).
Language: Matlab - Size: 570 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 7

mehmoodulhaq570/Machine-Learning-Models
A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.
Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 5 - Forks: 0

Ate329/IDS
An intrusion detection system with a web interface built using Django
Language: Python - Size: 26.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

StarlangSoftware/Classification-CPP
Machine learning library for classification tasks
Language: C++ - Size: 64.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

IsaacCheng9/machine-learning-in-chess
My final year project for the University of Exeter, using machine learning to study patterns in millions of chess games (~350 GB). Ranked 1st in the cohort for undergraduate projects (85%).
Language: Jupyter Notebook - Size: 1.27 GB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 1

semasuka/Income-classification
Predicting if an individual make more than 50K using different features
Language: Jupyter Notebook - Size: 181 MB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 5 - Forks: 4

nds-group/ETC_NOMS_2024
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
Language: Python - Size: 306 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 5

Yash22222/Devanagari-Sentiment-Analysis
"Devanagari Sentiment Analysis" is a project for analyzing sentiments in Hindi, Marathi, Punjabi, Gujarati text data. It preprocesses text, trains ML models, and visualizes sentiment with word clouds and scores.
Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

khushaljethava/diabetes_prediction
Predict Diabetes using Machine Learning and deployment of machine learning model using Django.
Language: HTML - Size: 2.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 4

Shubhamkumar-op/Crop_Recommendation
A rule-based system use rules to suggest crops based on weather patterns, and other relevant factors. This type of system is relatively simple to implement and may be suitable for smaller farms with less complex data needs.
Language: Jupyter Notebook - Size: 3.69 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

RobertoFalconi/GameRatingsPredictor
Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).
Language: Python - Size: 30.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

elbernaderen/machine-learning-signal-finder
Technic analyzer with ML (RTF) and signal sender bot using telegram
Language: Python - Size: 17.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 7

ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

Praveenterax/Traffic-sign-Detection-Recognition-Matlab-RandomForest
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
Language: MATLAB - Size: 4.83 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

ChaitanyaC22/Telecom-Churn-Prediction
In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.
Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

merb92/Tanzanian-Waterpoint-Analysis-and-Classifictation
Predict the operational status of waterpoints to help the Tanzanian Government provide more clean water to its population using a Machine Learning Classifier
Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 2

Ayantika22/PCA-Principle-Component-Analysis-For-Seed-Dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3

rtimbro185/syr_mads_ist707_data_analytics
Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics
Language: Jupyter Notebook - Size: 112 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

gregspangenberg/shoulder
Landmark detection and humeral implant positioning with lightweight machine learning models.
Language: Python - Size: 113 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 4 - Forks: 1

RoryQo/Student-Online-Learning-Adaptability-Project
Explore factors influencing students' adaptability to online learning through machine learning techniques, including Random Forest, SVM, and Neural Networks. Identify key characteristics and develop predictive models to enhance online education experiences.
Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

ElizabethSeidle/OULAD
Open University Learning Analytics Dataset (OULAD) analysis exercise
Language: Python - Size: 5.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

dev-Roshan-lab/symptom-predictor
diagnose disease faster than ever, well depends on your device I can't help !!!
Language: Python - Size: 57.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 4

bsef19m521/100-Days-of-Machine-Learning
"100-days-of-machine-learning" is a repository containing a comprehensive guide to Machine Learning, covering the basics and advanced topics, with daily exercises and real-world examples for 100 days.
Language: Jupyter Notebook - Size: 430 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

a3X3k/Spam-Email-Detection
Size: 67.9 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

SangameswaranRS/phishing-detection
Script to find out phished sites using Ensemble Learning
Language: Python - Size: 178 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 2

jackshendrikov/sensus
NLP with LSTM for Sentiment Analysis of Ukrainian texts
Language: Jupyter Notebook - Size: 53.8 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

Anshuman2305/Mental-Health-CodeUtsava
A Machine Learning Web App using Flask on Mental Health
Language: Python - Size: 113 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

yashasvimisra2798/Care-Demia
Breast cancer awareness and detection website
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

swap-253/Twitter-US-Airline-Sentiment-Analysis
In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,
Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

sidharth178/Credit-Risk-Analysis-using-LightGBM-Classifier
The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application
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indrapaul824/Binary-Classification-Web-App
A web app for visualizing Binary Classification Results using Streamlit module in Python deployed on Heroku.
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vishalv91/Customer-Analytics
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.
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Ayantika22/PCA-Principle-Component-Analysis-For-Wine-dataset
PCA(Principle Component Analysis) For Wine dataset in ML
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kshitijshrivastava1903/Liver-Disease-Prediction-Using-ML_Algorithms
Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.
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enginBozkurt/Grab_AI
Traffic Management Project - Understanding travel demand and travel patterns within the city.
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