GitHub topics: randomforestclassifier
Shankhadweep/Diabetes-Prediction-SystemV3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
ayan6943/Employee-Attrition-Prediction-with-Machine-Learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
Language: Jupyter Notebook - Size: 242 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
Fakay07/FRAUDULENT-TRANSACTION-DETECTION
(END-TO-END ML PIPELINE USING XGBOOST FOR FRAUD DETECTION. COVERS FEATURE ENGINEERING, SMOTE FOR IMBALANCE, AND SHAP FOR MODEL EXPLAINABILITY WITH 95%+ CLASSIFICATION ACCURACY.)
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
m-lizak/SAR_Wetland_Mapping
Some scripts related to a wetland classification project in Algonquin Park
Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
halacoded/RiskIntel
machine learning model (RandomForestClassifier) that predicts whether a customer is "risky" or "not risky" based on various features
Size: 442 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0
mihirchhiber/Network-Intrusion-Detector
Network Intrusion Detector is a distributed intrusion detection system built with PySpark. It preprocesses, encodes, and models network traffic data to detect anomalies using a Random Forest classifier, achieving high accuracy and efficiency through feature selection and scalable data processing. The system is suitable for large-scale environments
Language: Jupyter Notebook - Size: 860 KB - Last synced at: 14 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
SathyaV99/hadoop-spark-traffic-predictor-toronto
🚦 Toronto Traffic Prediction with Apache Spark, Hadoop and SparkML. Used Random Forest as the model for prediction
Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
sorna-fast/fraud-detection
Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
DataSpieler12345/python-for-ds-ml
My Python learning experience 📚🖥📳📴💻🖱✏
Language: Jupyter Notebook - Size: 200 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML
A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0
Kaz4510/Data-generation
Data generation using python
Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Marlyn-Mayienga/Titanic-Survival-Prediction
Predicting passenger survival on the Titanic using an ensemble machine learning approach, achieving a Kaggle score of 0.77990. This project leverages stacking with Random Forest, Gradient Boosting, and SVM, enhanced by feature engineering and hyperparameter tuning, to model survival patterns effectively.
Language: Jupyter Notebook - Size: 590 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
dvilaverde/SkLearn2Java
A parser for scikit-learn exported text models to execute in the Java runtime.
Language: Java - Size: 98.6 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1
reputed-artist/Liver-Disease-Prediction-using-Ensemble-Machine-Learning-Method
Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.
Language: Jupyter Notebook - Size: 354 KB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
falakrana/Vehicle-Price-Prediction
Developed a machine learning-powered web app to predict vehicle resale prices based on make, year, kilometers driven, fuel type, etc. The backend is powered by Flask, with MongoDB Atlas for user authentication and a secure login system.
Language: HTML - Size: 984 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
jojocarson/hcv_rt_classifier
Classification of retreatment for reinfection and virological failure among people treated with direct acting antiviral therapy for hepatitis C in national pharmacuetical dispensing administrative data
Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1
ivanseldas/microcredit-churn-classifier Fork of ironhack-labs/project-1-ironhack-payments-es
Developed a machine learning pipeline to predict customer churn with over 90% accuracy, leveraging data preprocessing, feature engineering, and Random Forest modelling. Conducted exploratory data analysis to uncover key drivers of churn, such as customer recency and cohorts from first transations.
Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 3
kanishkumar-k/multi-modal-cyberbullying-detection-and-prevention
Website to explain the working of Cyberbullying detection and prevention app in social media
Language: Python - Size: 15.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
mohammadreza-mohammadi94/Alzheimer-Risk-Assessment-WebApp
This repository is a web app that predicts Alzheimer's Disease risk using patient data. Powered by an ANN, it provides an easy-to-use interface for quick assessments.
Language: Python - Size: 7.69 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1
Uni-Creator/Lung_Cancer_Prediction
This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
falakrana/Disease-Prediction-using-ML
This project is an AI-powered web application that predicts diseases based on user-input symptoms. It uses Machine Learning algorithms like Random Forest, Decision Tree, and Naïve Bayes to provide accurate predictions. The system features a Flask backend, a React.js frontend, and ensures user privacy by not storing searches.
Language: Jupyter Notebook - Size: 355 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
musfiquejim/EnACP-A-Hybrid-Machine-Learning-Framework-for-Detecting-Anticancer-Peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
Language: Shell - Size: 2.78 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
esvs2202/Credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
Language: Jupyter Notebook - Size: 64.8 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 3
OriolPalacios/Datacamp-RentalDVDinfo-Project
DVD Rental Prediction leverages regression models to forecast rental duration, guiding optimal inventory management for DVD rental companies. It combines data visualization, feature engineering, and model evaluation within a Jupyter Notebook to deliver actionable insights.
Language: Jupyter Notebook - Size: 300 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
yc386/anubis_palaeoproteomics
A random forest classification model for degraded BLG deamidation. A multi-level system for deamidation hotspots, asparagine vs glutamine clustering and protein level authentication using trypsin as the baseline
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1
franmateus/Risco-de-Credito-Modelos-Ensemble
Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble
Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
rohancodestack/AI-MediCare
AI-MediCare is an AI-powered healthcare solution for disease detection and risk assessment. It leverages machine learning, deep learning, and NLP-based chatbots to analyze medical data and assist patients. The system is deployed on cloud platforms like AWS, ensuring scalability and real-time accessibility.
Language: Python - Size: 126 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Singhananddev/classification_Mobile_price_range_prediction
classification_Mobile_price_range_prediction
Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Rose-Favour/Finance-Projects
Machine Learning for Loan default predictions and Stock Analysis projects
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
BryanGaray99/ML-Prediccion-de-Rendimiento-Academico
Machine Learning Project to Predict Academic Performance - Python - Django
Language: Python - Size: 2.02 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
j0em05/DS.website_pishing_classification
website classification with RandomForestClassifier
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
BeheshteSadeghi/ChurnModelling
This project aims to train the best model for predicting customer churn. In this project; first, data is studied and several diagrams are depicted for storytelling. Since we face with unbalanced data, categorical data, outliers, unscaled data and ecxess of features, related packages from python is utilized to prepare data for modelling.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Gregoritsch3/ML_EDA_Classification_GoldPricePrediction
An EDA and Machine Learning Classification project on the IAU Gold ETF demonstrating the use of yfinance, stockstats, Time Series Split, Feature Expansion (SMA, EMA, lagged features, RSI-14, CL=F Close Price, etc.), Model Evaluation and Hyperparameter Tuning. The model predicts Gold price movement (1-up, 0-down) on a weekly basis and performs well.
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Jayita11/Defaulter-Credit-Card-Prediction_ML
This project predicts credit card defaults using machine learning. The XGBoost model, optimized with under-sampling, was the best performer, effectively handling class imbalance and achieving strong recall and accuracy.
Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1
mb16biswas/fullstack_heart_discease_prediction_app
It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js
Language: Jupyter Notebook - Size: 6.46 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 2
NouranHaitham/ML_WaterQuality
A notebook aimed at predicting and improving water safety by analyzing contaminants and pollution levels in water sources, enhancing public health and ensuring access to clean drinking water.
Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1
SKJNR/App-s-Review-Sentiment-Analysis
Perform Sentiment Analysis on App's Review Data
Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
vsatyakiran/Smart-Harvest
It is a crop recommendation and fertilizer recommendation system, which is developed using machine learning algorithm (Random forest classifier)
Language: HTML - Size: 109 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
akibahmed229/WeatherForecasting
Realtime Weather Forecasting using Machine Learning
Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
MattiaRaffa/RF-VDA-landslide-map
Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano
Language: Python - Size: 7.3 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 1
SwatejPatil/Fake-Currency-Detection
Identification of fake currency is a challenging problem for all. Fake banknotes are becoming more and more identical to the real ones. In this Fake Currency Detection model, I have used multiple machine learning algorithms to determine fake or real banknotes and was able to achieve more than 90% accuracy.
Language: Jupyter Notebook - Size: 701 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 3
Tonyabifadel/RandomForest-Football-Analysis
Classifier
Language: Python - Size: 126 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
harmanveer-2546/Ad-Click-Prediction-Analysis-and-Insights
To predict whether a user will click on ad or not.
Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: 14 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
kapasitejas/Telecom_Churn_Case_Study
To predict if a customer will churn, given the ~170 columns containing customer behavior, usage patterns, payment patterns, and other features that might be relevant. Your target variable is "churn_probability"
Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
tsar123/AI-beer-sommelier
AI beer sommelier
Language: Python - Size: 664 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
tejasayya/Alzheimer-s-Disease-Analysis
A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
iliapopov17/SequenceForge-Lite
🧬Simple tool to work with fasta, fastq files and bio seqs
Language: Jupyter Notebook - Size: 7.25 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
johannaschmidle/ChurnPredictionModel
Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
yaminibhole/Human-Stress-Detection-System
Human Stress Detection System: An interactive platform using a RandomForestClassifier to predict stress levels from physiological and environmental data, offering personalized predictions, tailored recommendations, and real-time support through an AI assistant.
Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
Language: Jupyter Notebook - Size: 865 KB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
sharathnirmala16/btc-ml-epat-project
Exploring the effectiveness of Random Forests in developing intraday trading strategies using existing technical indicators for the Bitcoin-US Dollar (BTC-USD) pair.
Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
JessicaaaJe/CardioRenal-Disease-Prediction-using-classification-
This project uses classification techniques (KNN, Random Forest) to predict the presence of heart and kidney diseases. (dataset included)
Language: Jupyter Notebook - Size: 6.55 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
nanadotam/SpamHamClassification_Presentation
A presentation on classifying email as spam or ham using RandomForest, SVC & Naive Bayes
Language: Jupyter Notebook - Size: 594 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
HakimGhlissi/Gold-Price-Prediction-using-Random-Forest-Regressor
Built a Gold Price Prediction tool using Random Forest Regressor from data out of Kaggle
Language: Jupyter Notebook - Size: 119 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
DineshThapaX/big-data-management-project
This project includes both Diabetes Prediction using Machine Learning Algorithms and Graph Analysis using Neo4j. Have a look at the Report for complete understanding.
Language: Jupyter Notebook - Size: 6.73 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
wyctorfogos/Richter-s-Predictor-Modeling-Earthquake-Damage
Based on aspects of building location and construction, was made a MLP (MuiltiLbal Perceptron) to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.
Language: Jupyter Notebook - Size: 9.38 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
Ahmed-Maher77/Diabetes-Prediction-App-using-Machine-Learning
Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.
Language: CSS - Size: 396 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
InigoMartinezCiriza/Codigo_TFG
En este repositorio se almacenan los diferentes cuadernos utilizados a la hora de programar los algoritmos de ML utilizados para el estudio y realización del TFG
Language: Jupyter Notebook - Size: 37.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AM-mirzanejad/Heart-Failure-Prediction
The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.
Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
RoopkumarD/titanic-survival-prediction
Titanic Survival Prediction: Jupyter Notebook demonstrating Random Forest Classifier for survival prediction on Titanic dataset.
Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
DataSpieler12345/ml-with-python
Python Machine Learning Projects | Hands-on Experience...
Language: Jupyter Notebook - Size: 5.99 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AzizKri/nlp-project
NLP Project using TF-IDF & RandomForestClassifier
Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
VinylBr/DeepLearningvsML_TBResistancePrediction
Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
leomarkcastro/Machine-Learning
Machine Learning lessons (Linear Regression, Logistic Regression, DecisionTreeClassifier, SVC, RandomForestClassifier, K Clustering, Naive Bayes) and data manipulation codes learned from this playlist: https://www.youtube.com/watch?v=gmvvaobm7eQ&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=1
Language: Python - Size: 1.13 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
ankitsinghh12/Health_Forecast_Preditction
Empower medical professionals and ML students with our innovative medical prediction and visualization platform, revolutionizing disease prediction for improved patient outcomes.
Language: HTML - Size: 14.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sid966/credit_card_fraud_detection
This project is about credit card fraud detection using Random Forest Classifier.
Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
vishva-mahadevan/Spam-Classification-NLP
Django Spam Classifier - Classifies given text is spam or not using Scikit Learn and Django Framework
Language: Jupyter Notebook - Size: 570 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
Samuellmk/DS-PredictingSequel
Data Science Project
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
Asklios/histoflow
Train and apply a RandomForestClassifier on large images
Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
anumohan10/EDA-Telecom-Churn
Exploratory Data Analysis - Telecom Customer Churn
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
LHarieswar/Email-Spam-Classifier
Spam Email Detection using Machine Learning Classifier Algorithms
Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
anillava1999/Rock-Vs-Mine-Prediction
There is war is going on between two countries submarine of the country is going under the water to another country and enemy country planted some mines in the oceans mine are nothing but explosive that explodes when some object comes in contact with it and there can be rocks in the ocean so submarine needs to predict whether it is crossing mine or rock our job is to make a system that can predict whether the object beneath the submarine is a mine or a rock so how this is done is submarine uses sonar signal that sends sound and receives switchbacks so this signal in the processed to detect whether the object is a mine or it's just a rock in the ocean to predict the rock and mine we use some types of algorithms like decision tree, KNN, Logistic Regression, Random Forest and SVM
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 3
rajiv8/Random_Forest_Diabetes_Prediction
This is a Simple Diabetes Prediction Project. It uses Random forest Classifier Algorithm to Predict whether the person is diabetic or not. It has 82% accuracy.
Language: Jupyter Notebook - Size: 319 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
DanielaRosero/Titanic
Análisis detallado del famoso conjunto de datos del Titanic. Este proyecto explora los factores que pudieron haber influido en la supervivencia de los pasajeros durante el desastre.
Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
shamshirialireza/catboost_soo_prediction
Spatial Prediction of Socio-Economic Effects on Schedule Overrun Occurrences of Roadway Projects using Machine Learning Techniques
Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Aysenuryilmazz/hr_analytics_ML
ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
Dhrumil-Zion/Predicting-Stock-Market-Using-Headlines
Predict whether a stock price will increase based on headlines on a specific day. Data is Wrangled and Merged for modeling. The bag of words approach is used to vectorize textual data. A combination of NLP and ML models like RanfomForestClassifier is used to predict final results, plus the Naive Bayes approach with NLP to predict the results.
Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
RaffaelloCroci/Predict-Stock-Market-with-ML
How to predict tomorrow's S&P 500 index price using historical data
Language: Jupyter Notebook - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
iamkirankumaryadav/SMS-Classification
Natural Language Processing
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
jbehringer95/Cell_phone-_predictions
Notebook used to test Linear Regression model and RandomForest Classifier on to see which one can accurately predict the price range between cellphones.
Language: Jupyter Notebook - Size: 259 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
Kshitij14397/Credit-Card-Fraud-Detection-using-Hybrid-Model
We have developed a Hybrid Model which consists of Random Forest, K-Nearest Neighbors, and Artificial Neural Network Algorithms using the Majority Voting Approach for detecting frauds in Credit Cards effectively and efficiently🙂.
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1
elmezianech/ClassifyReviews_NLP
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
amogh2004/Benign-Malignant-Prediction
Predict whether a Mammogram Mass is Benign or Malignant.
Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
prateekagrawaliiit/100-Days-of-ML
The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning
Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 6
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: almost 4 years ago - Stars: 9 - Forks: 1
Divyanshi149/Classification-Algorithm
Diabetes Prediction Model using Random Forest
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
a-bezm/Machine-learning-for-texts
Разработка инструмента, который будет искать токсичные комментарии и отправлять их на модерацию. Модель классифицирует комментарии на позитивные и негативные.
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Ch-Jameel/Classification-modeling-work-using-SVC-KNN-DT-etc
Welcome to our Classification Modeling Project! In this project, we've employed various machine learning algorithms and techniques to solve a classification problem.
Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Kekyei/Hospital-Patients-Survival
A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical history. Model is evaluated using the F1 Score.
Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
ItsTrixl/Credit-Card-Fraud-Detection
Credit Card Fraud Detection is a crucial machine learning project with profound implications. It aims to safeguard financial transactions by identifying fraudulent activities. Leveraging advanced algorithms and historical transaction data, this project analyzes patterns and anomalies in credit card usage.
Language: Jupyter Notebook - Size: 172 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
MafikengZ/NLP-Tweet-Sentiment-Ananlysis
Build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data
Language: Jupyter Notebook - Size: 97.7 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
PurvaKaiwart/Telecom-customer-churn-Prediction-
Build a classification model for reducing the churn rate for a telecom company
Language: Jupyter Notebook - Size: 378 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Chandrakant817/Algerian_Forest_Fire_Prediction
Algerian forest fires Dataset (Classification Use Case)
Language: Jupyter Notebook - Size: 450 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
cecivieira/cotas-genero-eleicoes-e-proposicoes-legislativas
Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na @pucminas
Language: Jupyter Notebook - Size: 121 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0
Andrew2077/titanic-julia
Deployment of AI model done with Julia on titanic dataset.
Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
GunturWibawa/MegalineCBA
As a Data Scientist at Megaline, a leading mobile operator, I developed a model to analyze consumer behavior. I aimed to recommend either the Smart or Ultra package from Megaline's latest offerings, with a minimum accuracy of 0.75.
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
somenath203/Loan-Status-Prediction-Backend
Click below to visit the swagger docs of the website
Language: Jupyter Notebook - Size: 347 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
nadiduno/dataClientAI
Python application using artificial intelligence using LaberEnconder, KNeighborsClassifier and RandomForestClassifier
Language: Python - Size: 3.63 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
StartrexII/tuningHyperparameters
study of hyperparameter tuning methods
Language: HTML - Size: 3.62 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
