Projects in Awesome Lists tagged with random-forest-classifier
A curated list of projects in awesome lists tagged with random-forest-classifier .
https://github.com/x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
deep-learning emotion-detection emotion-recognition emotion-recognizer feature-extraction gradient-boosting keras kneighborsclassifier librosa machine-learning mfcc mlp-classifier neural-networks random-forest-classifier recurrent-neural-networks sklearn speech-emotion-recognition support-vector-machine
Last synced: 04 Apr 2025
https://github.com/benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games
Last synced: 05 Apr 2025
https://github.com/thedefibat/road-accidents-prediction-and-classification
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
decision-tree-classifier random-forest-classifier scikitlearn-machine-learning
Last synced: 02 Jan 2026
https://github.com/kapilsinghnegi/fake-news-detection
This project detects whether a news is fake or not using machine learning.
decision-tree-classifier fakenewsdetection gradient-boosting-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn sklearn
Last synced: 03 Mar 2026
https://github.com/soumilgit/xyz-bank-customer-churn-predictor
Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.
decision-tree-classifier emailjs fintech html-css-javascript json jupyter-notebook naive-bayes-classifier openai pickle-file pillow-library python qwen3-32b rag-pipeline random-forest-classifier scikit-learn smote streamlit supabase svm-classifier xgboost-classifier
Last synced: 01 Jun 2026
https://github.com/snigdho8869/multiclass-text-classification
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
adaboost-classifier bert-fine-tuning cnn-model deep-learning ensemble-learning flask flask-application gradient-boosting-classifier gru keras-tensorflow logistic-regression machine-learning natural-language-processing neural-network nlp random-forest-classifier rnn-lstm support-vector-machines text-classification xlnet-fine-tuning
Last synced: 13 Jun 2025
https://github.com/jan-janssen/gmailsorter
Similarity based email sorting for Google Mail using RandomForest classifiers
google-mail-api machine-learning python random-forest-classifier
Last synced: 11 Apr 2026
https://github.com/amstuta/random-forest
Implementation of a Random Forest classifier in both Python and Scala
decision-tree machine-learning random-forest-classifier
Last synced: 05 Aug 2025
https://github.com/kanchitank/mushroom-classification
A machine-learning project to determine if a certain mushroom is edible or poisonous.
decision-tree-classifier knearest-neighbor-classifier logistic-regression machine-learning machine-learning-algorithms mushroom-classification mushroom-dataset naive-bayes-classifier random-forest-classifier support-vector-machines
Last synced: 07 May 2025
https://github.com/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).
alzheimer-disease-prediction anova-test catboost-classifier chi-square-test data-science deep-neural-networks keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier tensorflow xgboost-classifier
Last synced: 11 Apr 2025
https://github.com/dalageo/ml-titanicshipwreck
Exploring the World's Most Renowned Shipwreck 🚢
data-science decision-tree-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn stacking-ensemble titanic-dataset xgboost-classifier
Last synced: 04 Sep 2025
https://github.com/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'
adafruit-feather arduino arm-cortex-m0 code-generation decision-tree-classifier efficient-inference esp32 microcontroller optimization random-forest-classifier stm32 tinyml
Last synced: 23 Apr 2025
https://github.com/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
algorithms machine-learning-algorithms machinelearning predictive-modeling python random-forest random-forest-classifier
Last synced: 09 Apr 2025
https://github.com/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.
anova-analysis catboost-classifier chi-square-test data-science deep-learning keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier smote-oversampler tensorflow xgboost-classifier
Last synced: 11 Apr 2025
https://github.com/mainakrepositor/milk-yield-prediction
milk random-forest-classifier streamlit webapp yield-prediction
Last synced: 02 Aug 2025
https://github.com/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
data-mining data-preprocessing data-science exploratory-data-analysis feature-engineering lemmatization machine-learning pandas pos-tagging random-forest random-forest-classifier scikit-learn sentiment-analysis web-scraping wordcloud
Last synced: 22 Apr 2025
https://github.com/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.
accelerometer classification confusion-matrix decision-tree-classifier exploratory-data-analysis gradient-boosting-classifier grid-search gridsearchcv gyroscope human-activity-recognition iot-application kernel-svm-classifier linear-discriminant-analysis logistic-regression python-3 random-forest-classifier rbf-classifier seaborn support-vector-machine t-sne
Last synced: 14 Oct 2025
https://github.com/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.
adaboost-classifier agglomerative-clustering apriori-algorithm data-preprocessing data-science ensemble-learning fuzzy-cmeans-clustering machine-learning machine-learning-algorithms machine-learning-models multilayer-perceptron python random-forest-classifier self-organizing-map single-layer-perceptron
Last synced: 26 Oct 2025
https://github.com/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.
datacollection datapreprocessing fastapi finance frauddetection machine-learning modeltraining python random-forest-classifier scikitlearn-machine-learning supervisedlearning
Last synced: 14 Jul 2025
https://github.com/brunocampos01/predict-which-customers-a-call-center-should-contact
Predict which customers should a call-center call for greater assertiveness in a sale
analytics call-center call-center-analytics challenge correlation data-engineering data-science dataset keyrus linear-regression linear-regression-models machine-learning polynomial-regression pt-br python random-forest random-forest-classifier
Last synced: 03 Sep 2025
https://github.com/danieldacosta/disaster-webapp
The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.
disaster-messages random-forest-classifier sklearn webapplication
Last synced: 30 Apr 2025
https://github.com/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.
adasyn banking credit-card-fraud-detection data-analysis decision-tree-classifier fraud-analytics hyperparameter-optimization hyperparameter-tuning imblearn kneighborsclassifier logistic-regression machine-learning-algorithms oversampling pipelines power-transformers random-forest-classifier randomoversampler smote svm-classifier xgboost-classifier
Last synced: 13 Apr 2025
https://github.com/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.
logistic-regression pandas random-forest random-forest-classifier scikit-learn
Last synced: 17 Jun 2025
https://github.com/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.
data-analytics devanagari-character-dataset devanagri-character-recognition devanagri-sentiment-analysis gujarati hindi machine-learning marathi marathi-linguistic-dataset punjabi random-forest-classifier sentiment-analysis wordcloud
Last synced: 25 Jun 2025
https://github.com/gregspangenberg/shoulder
Landmark detection and humeral implant positioning with lightweight machine learning models.
anatomy arthroplasty computer-vision glenoid humerus implant machine-learning python random-forest-classifier shoulder surgery unet-segmentation
Last synced: 08 Oct 2025
https://github.com/semasuka/income-classification
Predicting if an individual make more than 50K using different features
aws-s3 binary-classification data-analysis data-science data-visualization eda finance-analytics machine-learning precision python random-forest-classifier scikit-learn streamlit
Last synced: 14 Jul 2025
https://github.com/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.
decision-trees knearest-neighbor-classifier logistic-regression machine-learning-algorithms matplotlib-pyplot random-forest-classifier seaborn-plots support-vector-machines
Last synced: 24 Sep 2025
https://github.com/shaadclt/password-strength-checker-randomforestclassifier
This project is a password strength checker that utilizes a Random Forest Classifier to determine the strength of a given password. The Random Forest Classifier is trained on a dataset of passwords labeled with their corresponding strength levels.
random-forest-classifier tfidf-vectorizer
Last synced: 10 Oct 2025
https://github.com/nofaralfasi/machine-learning-divorce-prediction
A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
algorithm-comparison confusion-matrix divorce-prediction feature-selection gradient-descent-algorithm machine-learning neural-network-classification random-forest-classifier sklearn svm-classifier
Last synced: 01 May 2026
https://github.com/soumilgit/ai_ml_projects
A collection of few beginner-friendly AI-ML Projects in Python. Feel free to star and refer to for learning purposes!
data-science gemini-api numpy opencv python random-forest-classifier
Last synced: 13 Apr 2025
https://github.com/anshuman2305/mental-health-codeutsava
A Machine Learning Web App using Flask on Mental Health
bootstrap-4 colab-notebook firebase-realtime-database flask html5 javascript machine-learning numpy-library pandas python-3 random-forest-classifier scss-framework sklearn
Last synced: 04 Jan 2026
https://github.com/stewartpark/scikit-small-ensemble
scikit-small-ensemble is a library to make your ensemble models(Random Forest Classifier, etc) have a small memory footprint/usage.
compression ensemble-learning lz4 mmap random-forest-classifier scikit-learn
Last synced: 05 Feb 2026
https://github.com/sainipankaj15/pair-trading-strategy-using-random-forest
Developed a model using Random Forest algorithm to get prediction of user defined number of stocks to go long & short in all trading sessions of upcoming year. Achieved 14.04% CAGR with 100% profitability in all seven years of backtested data. The model outperformed the index in 5 years out of the total 7 years of testing.
machine-learning matplotlib numpy pandas random-forest-classifier sklearn-estimator stock-market
Last synced: 10 Apr 2026
https://github.com/moindalvs/assignment_random_forest_1
Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"
bagging-ensemble bagging-trees data-science hyperparameter-tuning random-forest-classifier
Last synced: 04 Feb 2026
https://github.com/shaadclt/digits-classification-randomforestclassifier
This project aims to classify handwritten digits using a random forest classifier algorithm. By analyzing the provided dataset of handwritten digits, the model can accurately predict the digit represented in the image.
Last synced: 28 Mar 2025
https://github.com/analitico-771/machine_learning_index_prediction
This application compares the performance of Unsupervised machine learning models and Supervised models. It downloads 3 yrs of market daily close data from all SP500 companies and divides them into Sectors to be used as features for learning and training the data, in order to predict wether the index will be a Buy or Sell the next day. The results are evaluated to determine each model's performance and the metrics are presented along with the analysis.
alpaca-trading-api data-science deep-learning fintech machine-learning neural-network pandas-dataframe python quantitative-finance random-forest-classifier scikit-learn sp500-data-analysis
Last synced: 26 Feb 2026
https://github.com/saeedanbarimoghadam/breast-cancer-detection-using-machine-learning-algorithms
boosting-algorithms datamining decision-tree-classifier decision-trees knn-classification machine-learning machine-learning-algorithms random-forest random-forest-classifier svm-model
Last synced: 07 Jan 2026
https://github.com/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.
class-imbalance classification data-analytics data-cleaning data-manipulation evaluation-metrics feature-engineering hyperparameter-tuning logistic-regression machine-learning model-building model-evaluation over-sampling pca random-forest-classifier rfe smote statistics telecom xgboost
Last synced: 12 Jun 2025
https://github.com/anwarulh007/eduprotect--student-dropout-analysis
EduProtect is a valuable tool for educators, parents, and students in India. By providing accurate predictions and facilitating collaboration, it aims to address the critical issue of student dropouts and ensure a brighter future for all. Used Java in App development and Python for the ML Algorithm in Google Colab.
matpoltlib numpy python random-forest-classifier sckiit-learn
Last synced: 07 Mar 2026
https://github.com/abhinav-codealchemist/flower-species-recognition-using-ml
Recognition of Flower Species Using Decision Trees & Random Forest Classifier
decision-tree flower-species jupyter-notebook machine-learning python random-forest-classifier recognition
Last synced: 17 May 2026
https://github.com/spignelon/letter-recognition_project-ml
A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.
decision-tree-classifier knn-classifier letter-recognition machine-learning machinelearning naive-bayes-classifier random-forest-classifier research research-paper research-project scikit-learn svm-classifier uci-dataset uci-machine-learning
Last synced: 26 Oct 2025
https://github.com/yash22222/terrorist-activity-forecasting-and-risk-assessment-system
In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.
corpora data-vizualisation folium-maps gensim global-terrorism-database lda machine-learning matplotlib networkx nltk nmf numpy pandas python random-forest-classifier seaborn sklearn spacy textblob vader-sentiment-analysis
Last synced: 08 Apr 2026
https://github.com/mdaiyub/heart-disease-prediction
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.
confusion-matrix data-science decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas python random-forest-classifier seaborn svc-svm
Last synced: 15 Apr 2026
https://github.com/mr-mohan-v/phising-website-detection
Detect whether a website is legitimate (or) phishing using machine learning techniques
classification cybersecurity extension-chrome flask html-css-javascript machine-learning malicious-url-detection phising python random-forest random-forest-classifier url-detection webdevelopment webhosting webpage
Last synced: 12 Apr 2026
https://github.com/sushant1827/credit-card-fraud-detection
Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data
anamoly-detection correlation-analysis data-scaling data-visualization decision-tree-classifier exploratory-data-analysis gridsearchcv imbalanced-data knn-classifier logistic-regression near-miss outlier-detection outlier-removal precision-recall-curve random-forest-classifier roc-auc roc-auc-curve svc under-sampling
Last synced: 15 Feb 2026
https://github.com/maskedsyntax/iris-flower-prediction-app
A simple web app for Iris Flower Prediction
iris-dataset random-forest-classifier streamlit webapp
Last synced: 05 May 2026
https://github.com/moindalvs/assignment_random_forest_2
A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A Random Forest can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.
data-science hyperparameter-tuning numpy pandas python random-forest-classifier sklearn
Last synced: 10 Apr 2026
https://github.com/genepattern/randomforest
Random Forest, GenePattern - Mesirov Lab, UCSD
prediction random-forest random-forest-classifier
Last synced: 20 Feb 2026
https://github.com/madhurimarawat/final-internship-project
This repository contains my internship project that I made using Streamlit and Python programming language.
credit-card-fraud data-preprocessing data-visualization decision-tree deployment hyperparameter-tuning input-parameters internship-project knn logistic-regression machine-learning-algorithms naive-bayes-classifier project python random-forest random-forest-classifier streamlit streamlit-deployment suprevsed-learning svm
Last synced: 31 Jan 2026
https://github.com/2000pawan/heart-dieases-prediction
"Excited to announce my latest project on LinkedIn! ❤️ Introducing my heart disease prediction ML model deployed on Streamlit. With the powerful Random Forest Classifier algorithm, this solution achieves an impressive accuracy of 98% on training and 93% on testing data. Join me in leveraging technology to enhance healthcare outcomes! 💻🩺 .
artificial-intelligence jupyter-notebook machine-learning numpy pandas python random-forest-classifier streamlit vscode
Last synced: 09 Apr 2026
https://github.com/arif-miad/loan-application-risk-prediction-
Comparing multiple classification models for performance 🎯
data-science feature-engineering machine-learning matplotlib numpy pandas python random-forest-classifier regression seaborn
Last synced: 04 May 2026
https://github.com/maskedsyntax/penguins-species-prediction
A web app using streamlit to predict Penguin Species
pickle random-forest-classifier streamlit webapp
Last synced: 24 Apr 2026
https://github.com/mohd-faizy/07p_tumor-diagnosis-exploratory-data-analysis-on-breast-cancer-wisconsin-dataset
Tumor Diagnosis: Exploratory Data Analysis With Seaborn
data-analysis data-visualization eda exploratory-data-analysis knn-classification pca-analysis python random-forest random-forest-classifier statistics support-vector-machines tumor-detection visualization
Last synced: 17 May 2026
https://github.com/mdaiyub/house-price-prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
confusion-matrix decision-tree-classifier gaussiannb kneighborsclassifier logistic-regression machine-learning matplotlib-pyplot numpy pandas random-forest-classifier seaborn svc-svm
Last synced: 29 Apr 2026
https://github.com/ohincu/insurance-cross-selling
Identify health insurance customers with interest in a vehicle insurance.
catboost-classifier classification python random-forest-classifier
Last synced: 13 May 2026
https://github.com/pialghosh2233/liver_cirrhosis_prediction_using_machine_learning
artificial-intelligence artificial-intelligence-projects data-science data-science-projects knn knn-algorithm knn-classification knn-classifier machine-learning machine-learning-algorithms machine-learning-projects ml-project python python-project random-forest random-forest-algorithm random-forest-classification random-forest-classifier
Last synced: 09 May 2026
https://github.com/sushantdhumak/credit-card-fraud-detection
Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data
anamoly-detection correlation-analysis data-scaling data-visualization decision-tree-classifier exploratory-data-analysis gridsearchcv imbalanced-data knn-classifier logistic-regression near-miss outlier-detection outlier-removal precision-recall-curve random-forest-classifier roc-auc roc-auc-curve svc under-sampling
Last synced: 26 Mar 2025
https://github.com/prasukj7-arch/visual_text
The project uses computer vision and machine learning to translate sign language gestures into text, MediaPipe detects handprints, and Random Forest Classifier predicts characters in real time. It recognizes all 26 letters of the English alphabet, providing an intuitive interface to improve communication for people who need to use sign language.
computer-vision english-alphabet-recognition hand-gesture-recognition human-computer-interaction machine-learning mediapipe random-forest-classifier real-time-prediction sign-language-translation
Last synced: 05 Feb 2026
https://github.com/ogweno-d/datingalgo
Dating Algorithm
data-science dating dating-software jupyter-notebook machine-learning random-forest-classifier
Last synced: 29 Mar 2025
https://github.com/dimitriskatos/health_stroke_prediction
Prediction possible strokes using RandomForest and PCA
cleaning-data pca prediction random-forest-classifier smote
Last synced: 06 Apr 2025
https://github.com/mariiasam/service_churn
gridsearchcv joblib numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 16 Feb 2026
https://github.com/dimitriskatos/bank_exited_prediction
Prediction the exited in bank using Artificial Neural Network and Random Forest Classifier.
artificial-neural-networks descriptive-statistics random-forest-classifier
Last synced: 06 Apr 2025
https://github.com/luluw8071/twitter-fake-profile-detection
Machine learning models for identifying real-time fake profiles on Twitter
fake-profile-detection machine-learning python random-forest-classifier sckiit-learn svm-classifier xgboost-classifier
Last synced: 15 Apr 2026
https://github.com/ate329/ids
An intrusion detection system with a web interface built using Django
ai cyber-security cybersecurity decision-tree django ids intrusion-detection intrusion-detection-system machine-learning network python random-forest random-forest-classifier scapy scikit-learn traffic webapp
Last synced: 17 Mar 2025
https://github.com/ahmad-ali-rafique/adult-income-dataset
This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.
accuracy classification dataanalytics datavisualization-project decision-tree-classifier eda evaluation evaluation-metrics exploratory-data-analysis logistic-regression machine-learning random-forest-classifier
Last synced: 23 Jun 2025
https://github.com/geekquad/random-forest-from-scratch
A basic implementation of the Random Forest Classifier from Scratch and using Seaborn to find important features.
iris-dataset random-forest random-forest-classifier seaborn sklearn
Last synced: 17 May 2026
https://github.com/mikaremi/traffic_jam
Prediction of the number of tickets that a travel company can expect to sell for each ride.
exploratory-data-analysis machine-learning random-forest-classifier
Last synced: 09 Jul 2025
https://github.com/aditya-coomar/disease_prediction_model
Disease Prediction Model using SVM, GaussianNB and Random Forest Classifiers.
disease-prediction machine-learning naive-bayes-classification python3 random-forest-classifier streamlit-webapp support-vector-machines
Last synced: 21 Jul 2025
https://github.com/travisz09/kangaroo-island-wildfire
This original code is the product of Travis Zalesky's Final Project in U. of AZ MS GIST class 601B - Remote Sensing. It is being provided publicly in the interest of transparity and repeatability.
australia kangaroo-island nbr random-forest-classifier remote-sensing wildfire
Last synced: 09 Apr 2025
https://github.com/gamm95/predihipertension
Aplicación móvil basado en Machine Learning para la predicción del riesgo de desarrollar hipertensión arterial
android firebase flask flutter machine-learning python random-forest-classifier
Last synced: 12 Apr 2026
https://github.com/e-panourgia/data-science-projects
Data Science Projects
annotations augmentation data data-preprocessing-and-cleaning hyperparameter-tuning llm logistic-regression nlp random-forest-classifier xboost-classifier
Last synced: 09 Apr 2025
https://github.com/dhairyac/customer-churn-prediction
Analyze, visualize and predict customer churn using Machine Learning
data-analysis data-visualization ensemble-classifier machine-learning performance-metrics python-3 random-forest-classifier softmax-regression svm-classifier
Last synced: 19 May 2026
https://github.com/onome-joseph/heart-attack-prediction
This project estimates the likelihood of a heart attack for a patient based on their health parameters.
classification-model data-science flask-application healthcare machine-learning random-forest-classifier
Last synced: 06 Apr 2025
https://github.com/mikasenghaas/glass-forensic-analysis
glass forensic analysis using self-implemented neural networks, decision trees and random forests.
decision-trees ensemble-learning machine-learning neural-networks random-forest-classifier
Last synced: 13 Sep 2025
https://github.com/stephen-adwini-badu/08.-j.p-morgan-project
This project comprises two interconnected objectives, each represented by a separate Jupyter Notebook. Both objectives aim to apply machine learning methodologies to solve practical problems in predictive analytics.
data-science jupyter-notebook machine-learning predictive-analysis random-forest-classifier random-forest-regression
Last synced: 29 Jun 2025
https://github.com/aisuko/multimodal-mimic
Multi-modal LLM and traditional ML models for ICU modality prediction on MIMIC-III across various time windows.
ai logistic-regression mimic-iii modality-classification multi-modal neural-network random-forest-classifier transfer-learning xgboost-classifier
Last synced: 07 May 2025
https://github.com/devang-2021/croppredictionmodel
This is the baisically crop prediction model which helps the farmers to make the data-driven decision about which crop is suitable according to the current soil quality and climate factors.
anylogic anylogic-simulation flask java machine-learning-algorithms predictive-modeling python random-forest-classifier rest-api
Last synced: 04 Feb 2026
https://github.com/ghazaleze/investigate_classifiers
The point is to investigate three types of classifiers (linear classifier with feature selection, linear classifier without feature selection, and a non-linear classifier) in a setting where precision and interpretability may matter.
feature-selection l2-regularization large-scale lasso-regression machine-learning random-forest-classifier support-vector-machine svm-classifier
Last synced: 06 Aug 2025
https://github.com/usmanshaikh24/machine-learning-model-for-anomaly-detection-and-predictive-maintenance
This project addresses the growing need for intelligent industrial maintenance systems. By applying machine learning techniques, we aim to detect anomalies in machine behavior, predict machine failures, estimate Remaining Useful Life (RUL), and schedule maintenance tasks based on priority—enhancing reliability and minimizing downtime.
jupyter-notebook macine-learning random-forest-classifier xgboost-classifier
Last synced: 15 May 2025
https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap
artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15
Last synced: 21 Apr 2026
https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon
An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.
matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud
Last synced: 11 Apr 2026
https://github.com/jhylin/ml2-2_random_forest
Machine learning series 2.2 on random forest
cheminformatics machine-learning random-forest-classifier random-forest-regression
Last synced: 23 Mar 2025
https://github.com/akashshnkr/real-time-malicious-url-detection-using-lexical-analysis
A real-time malicious URL detection system using machine learning and lexical analysis, featuring a Chrome extension for proactive protection. Includes a web interface for manual URL verification and a robust classification model. 🚀🔒
chrome-extension machine-learning pyhton random-forest-classifier
Last synced: 21 Feb 2026
https://github.com/mahnoorsheikh16/loan-default-prediction
Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.
auc-score binary-classification-algorithms credit-card-fraud-detection data-cleaning data-science decision-tree-classifier exploratory-data-analysis loan-default-prediction logistic-regression machine-learning naive-bayes-classifier pre-processing python random-forest-classifier support-vector-machines xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/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.
decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model
Last synced: 08 Apr 2025
https://github.com/lasithaamarasinghe/stock-market-price-prediction
This ML model predicts the price of the S&P500 Stock Market Index using RandomForestClassifier
jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn sp500 stock-market-price-prediction yfinance
Last synced: 10 Apr 2026
https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/shubhamgoyal575/ecommerce-product-categorization
This project classifies e-commerce products into predefined categories using machine learning. It includes preprocessing steps like stopword removal, punctuation cleaning, and feature extraction. Models, including LSTM, are implemented, and evaluated for better accuracy.
accuracy-score artificial-neural-networks confusion-matrix data-analysis data-cleaning data-preprocessing data-science data-visualization deep-learning exploratory-data-analysis hyperparameter-tuning logistic-regression long-short-term-memory machine-learning machine-learning-algorithms naive-bayes-algorithm natural-language-processing precision-score random-forest-classifier
Last synced: 30 Aug 2025
https://github.com/gokulnpc/wine-quality-prediction
This web app is created to predict the quality of red wine based on the input features. The model is trained using the Random Forest Classifier algorithm.
classification-model machine-learning random-forest-classifier stream
Last synced: 01 Jul 2025
https://github.com/shishirshekhar/iris-species-clf
This is iris flower species prediction web app using different Machine learning classification model.
logistic-regression machine-learning random-forest-classifier streamlit streamlit-application streamlit-dashboard streamlit-web streamlit-webapp support-vector-machine
Last synced: 18 May 2026
https://github.com/ahmednasef3/heart-attack-analysis-prediction-ml-model-with-django
Website with django to predict using ML model if the person at low or high risk for Heart Attack
analysis classification decision-tree-classifier django exploratory-data-analysis gridsearchcv heartattack html5 knn-classification logistic-regression machine-learning pickle prediction python3 random-forest-classifier sklearn support-vector-machine visualization
Last synced: 10 Apr 2026
https://github.com/gokulnpc/house-price-prediction
This web app is a simple house price prediction tool. It uses a Random Forest model to predict the price of a house in Bengaluru, India. The model was trained on a dataset from Kaggle. The web app is built using Streamlit, a popular Python library for building web apps.
machine-learning random-forest-classifier streamlit
Last synced: 26 Aug 2025
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
Last synced: 18 Jan 2026
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 09 Apr 2026