randomforestclassifier | Topic | Ecosyste.ms: Repos

Topic: "randomforestclassifier"

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: 9 months ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 1

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: almost 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 6

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: 4 months ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

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: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

Language: Jupyter Notebook - Size: 200 MB - Last synced at: about 2 months 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: about 2 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

reknahs/Rubiks-Cube-Inference-Model

Language: Python - Size: 4.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

francescopatane96/Computer_aided_drug_discovery_kit

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 2

a3X3k/Spam-Email-Detection

Size: 67.9 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

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: 3 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 3

prabormukherjee/ML_visualizer

Machine learning model Visualizer in web using streamlit

Language: Python - Size: 70.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

SuperYanka/customer-churn-prediction

Machine learning project for predicting customer churn based on user behavior, contract type, and monthly charges. Includes preprocessing, model training, and evaluation. /// Проект по предсказанию оттока клиентов телеком-компании на основе их контрактов, активности и платежей.

Language: Jupyter Notebook - Size: 999 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2 - 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: 5.02 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

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: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 2

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: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

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: 4 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 3

maede43/ensemble-learning-lfw

Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - 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

jposyluzny/ENSF612Project

Repository for the ENSF 612 final project.

Size: 4.84 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

KarthikMurugadoss1804/Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

Language: Jupyter Notebook - Size: 939 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - 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

VishalNadig/hand-gesture-controlled-turtlebot4

A graduate class project involving controlling a Turtlebot4 running on ROS2 Galactic using hand gesture recognition.

Language: Python - Size: 95.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - 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 and XGBoost. Includes EDA, feature engineering, model training, and evaluation. Achieved 92% accuracy.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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: 4 months ago - Pushed at: 4 months ago - Stars: 1 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

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: 11 months ago - Pushed at: 11 months ago - Stars: 1 - 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 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

5hraddha/interconnect

Interconnect : Clients Churn Prediction using ML

Language: Jupyter Notebook - Size: 865 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - 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

dani37x/E-lectro

Flask web app with Redis, Sklearn, APScheduler and others...

Language: Python - Size: 1.88 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

AlaaMahmoud95/Heart-Failure-Prediction

Classification Machine Learning project

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

TStud/WebApp-for-Prediction-of-Car-Price-CarDekho-Vehicle-Dataset-

Predicting Car prices using Kaggle's CarDekho Dataset

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

eliashossain001/DiabetesModel_Deployment

Forecasting diabates using machine learning algorithms: End-to-end solution.

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

seroetr/Sentiment_Analysis_using_Machine_Learning_and_Deep_Learning

Application of Machine and Deep Learning to Sentiment Analysis

Language: Jupyter Notebook - Size: 7.6 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Rl16193/Credit_Risk_Analysis

Credit risk is an inherently unbalanced classification problem, as good loans easily outnumber risky loans. Therefore, you’ll need to employ different techniques to train and evaluate models with unbalanced classes. Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company,

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

aLPHAClASHEr/Bank-Note-Authentication

Bank Notes Authenticity tester using RandomForestClassifier

Language: Python - Size: 98.6 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

kkumar555/Fractional-Built-up-Prediction-10m-from-Landsat-8-using-Random-Forest-Algorithm-

This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.

Language: Python - Size: 3.16 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

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: 9 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

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

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

stefkim/Game_of_Thrones_Battles_Analysis_and_Prediction

analyse and build predictive model for Game of Thrones (War of The Five Kings) battles dataset

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

q00Dree/fastapi-iris-classifier

Simple example of how to deploy machine learning model (RandomForestClassifier) with FastAPI and docker-compose.

Language: Python - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - 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: about 4 years ago - Stars: 1 - Forks: 0

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

mistrydhruti/Heart-Disease-Prediction-Using-Python

Language: Jupyter Notebook - Size: 219 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ghadikq/College_Admission

I would like to use ML to help high school students focus on the factors that really affect the college admission process and help them to get admitted.

Language: HTML - Size: 813 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Evaluation

Evaluation of the Models (Regression and Classification)

Language: Jupyter Notebook - Size: 636 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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

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: almost 5 years ago - Stars: 1 - 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: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Improvement

Improving a Machine Learning Model

Language: Jupyter Notebook - Size: 229 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

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: Python - Size: 401 KB - Last synced at: about 11 hours ago - Pushed at: about 12 hours ago - Stars: 0 - Forks: 0

extremecoder-rgb/Experiment-Tracking

End to End Experiment tracking using MLflow

Language: Python - Size: 101 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - 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: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Ashis-Mishra07/Medical_Diagnose

Gain a complete and accurate understanding of the disease you’re dealing with.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

IAMN1/IDS-Module

IDS-Module used RandomForestClassifier

Language: Jupyter Notebook - Size: 2.77 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

adinegi8273/Plagiarism-detection-using-string-matching-algorithms

Plagnet is a platform for plagiarism detection using string matching algorithms and Random Forest classifier. Compared the accuracies of kmp, lcs and rabin karp string matching algorithms.

Language: HTML - Size: 6.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ZeshanFareed/Milk_Adulteration_Detection_System_Using_IOT_and_ML

MADS: IoT & ML-based milk adulteration detection with 95% accuracy. Uses ESP32 sensors (pH, temp, gas), lactoscanner data, and Random Forest. Django dashboard with Firebase, Chart.js, and Urdu support. Built with Python, scikit-learn, Pandas, SHAP. Secure, real-time dairy quality control solution.

Language: Jupyter Notebook - Size: 6.9 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: 444 KB - Last synced at: 25 days ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Kaz4510/Data-generation

Data generation using python

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 6 days ago - Pushed at: 3 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: 4 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 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: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

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: 4 months ago - Pushed at: 5 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: 5 months ago - Pushed at: 5 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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Rose-Favour/Finance-Projects

Machine Learning for Loan default predictions and Stock Analysis projects

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BryanGaray99/ML-Prediccion-de-Rendimiento-Academico

Machine Learning Project to Predict Academic Performance - Python - Django

Language: Python - Size: 2.02 MB - Last synced at: 4 months ago - Pushed at: 6 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: 4 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SKJNR/App-s-Review-Sentiment-Analysis

Perform Sentiment Analysis on App's Review Data

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vsatyakiran/Smart-Harvest

It is a crop recommendation and fertilizer recommendation system, which is developed using machine learning algorithm (Random forest classifier)

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akibahmed229/WeatherForecasting

Realtime Weather Forecasting using Machine Learning

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Tonyabifadel/RandomForest-Football-Analysis

Classifier

Language: Python - Size: 126 KB - Last synced at: 10 months ago - Pushed at: 10 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.

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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"

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iliapopov17/SequenceForge-Lite

🧬Simple tool to work with fasta, fastq files and bio seqs

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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)

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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.

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