Parnika798/Customer-Segmentation

Customer Behaviour Analysis and Churn Predictor

Language: Python - Size: 183 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Faiyadnub/Spaceship-Titanic

Spaceship Titanic project.

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

Language: Jupyter Notebook - Size: 40.7 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

turgunbaevaa/machineLearningProject

A complete ML project that explores feature engineering, model training (Decision Tree, Random Forest, Gradient Boosting), and model interpretation using SHAP and LIME.

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Mattytomo365/Weekly-Sales-Machine-Learning-Models

This project contributed towards my AI and Machine Learning module at university, it predicts weekly sales for retail stores using machine learning models. It includes data preprocessing, feature engineering, and training/testing of models such as Random Forest and Gradient Boosting Regressors.

Language: Python - Size: 4.98 MB - Last synced at: 5 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 1.48 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 1,022 - Forks: 160

NandaKishoreReddyGajjala/Credit-Card-Fraud-Detection-with-Machine-Learning

Dataset: https://drive.google.com/file/d/1blQ8F4gLVrez-9D9Jx320vafZexEFlSN/view?usp=drive_link

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

KKeshav1101/mini_project

A Django Application Interface for Hate Speech Detection Mini Project

Language: Python - Size: 331 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

syeda434am/Suicide-Ideation-Detection

This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.

Language: Jupyter Notebook - Size: 4.35 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

somjit101/Human-Activity-Recognition

This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.

Language: Jupyter Notebook - Size: 58.2 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

MUHAMMADAKMAL137/Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning

This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accuracy. It tracks and analyzes model performance, displays the best trial results, and compares the average performance of each classifier.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

razamehar/Predicting-Bank-Customer-Churn

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

Agnij-Moitra/MSBoost

MSBoost is a gradient boosting algorithm that improves performance by selecting the best model from multiple parallel-trained models for each layer, excelling in small and noisy datasets.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

sushant1827/Machine-Learning-for-Predictive-Maintenance

Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: 30 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

hdangle31/DS-Machine-Learning-Flights-2022

Predict Flight Cancellation Using Random Forest, XGBoost, Logistic Regression and Naive Bayes

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

adamingas/ordinalgbt

A package to build Gradient boosted trees for ordinal labels

Language: Jupyter Notebook - Size: 625 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 1

georgegkol/Macro-based-Asset-Allocation

This repository contains code to cluster and predict ETF returns and construct a minimum variance portfolio from a selection of bullish ETFs

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

anushrey10/Fuel_Efficiency_Predictor

Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.

Language: HTML - Size: 62.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mazerunner1001/Breast-Cancer-Diagnosis-from-Thermal-Images

genetic algorithms and machine learning techniques to diagnose breast cancer from thermal images by distinguishing between cancer-positive and healthy cases.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

kapilsinghnegi/Fake-News-Detection

This project detects whether a news is fake or not using machine learning.

Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 58 - Forks: 35

zygmuntz/hyperband

Tuning hyperparams fast with Hyperband

Language: Python - Size: 370 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 593 - Forks: 72

djdhairya/Liver-Disease-Classification

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Riciokzz/Spaceship-Titanic

Spaceship Titanic project.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Snigdho8869/Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 24 - Forks: 5

asafschers/scoruby

Ruby Scoring API for PMML

Language: Ruby - Size: 2.39 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 12

Tolumie/Ai-Machine-Learning-Projects

A collection of hands-on Artificial Intelligence (AI) and Machine Learning (ML) projects covering supervised and unsupervised learning, ensemble methods, deep learning, and model evaluation. This repository provides practical implementations using real-world datasets, making it ideal for both beginners and experienced data scientists.

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ananyajain2004/Fake-news-detection

A python project for detecting fake news using machine learning algorithms.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

styan606/PredictingPresentationRatings_Sendsteps

How do linear and non-linear predictive models perform in predicting the quality ratings of AI-generated presentations, and which features contribute most significantly to these predictions?

Language: Python - Size: 4.31 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

gustavoeso/PhishingURL-predictive-model

Projeto de Machine learning para desenvolver um modelo preditivo de busca de email que potencialmente seja phishing. Esse projeto foi desenvolvido no DataBricks, utilizando cluster voltado a MachineLearning.

Language: Jupyter Notebook - Size: 297 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

astroarth/AI_use_cases

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MAHMOUD2ABDALLAH/family-members-segmentation

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

Language: Python - Size: 629 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

VivekSagarSingh/Probability-of-Credit-card-Default

Classification problem using multiple ML Algorithms

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

AmirHosseinSoleymani/Pred-Developer-Salary-With-GBR-model-

This project aims to predict the salary of developers using the Stack Overflow Developer Survey 2022 dataset. The prediction model is built using the Gradient Boosting Regressor (GBR) algorithm.

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

anushkundu/Churn-Prediction

Telecom Customer Churn Prediction Using Machine Learning!

Language: Jupyter Notebook - Size: 615 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sushant1827/Human-Activity-Recognition-with-Smartphones

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

Mqtth3w/AI-unipr

Project for AI. Model to check password security with five classes: "Too weak", "Weak", "Moderate", "Strong", "Very strong". Developed in 2024 with @SasyXk

Language: Python - Size: 14 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

FrienDotJava/adult-census-income

A machine learning project classifying whether someone has income >$50K or <$50K using several models.

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 2 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

BeheshteSadeghi/TitanicSurvivalPrediction_PycaretPipelineGridSearchCV

The focus of this project is on Data Cleaning, Data Analysis, Gaining an insight from Pycaret Classification tool over best ML algorithms, hyperparameter tuning through GridSearchCV for top ML algorithms and generating Pipeline for the best algorithm.

Language: Jupyter Notebook - Size: 483 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shubhamjai9/Emotion-Based-Counsellor-Bot

An Artificial Intelligence based Chat Bot using python tools like Numpy, Pandas, Spacy etc. Counsellor Bot will mimic the characteristics and emotion interpretation skills of human and generate response on basis of emotion of engager.

Language: Jupyter Notebook - Size: 7.22 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

bennettbDEV/GradientBoostingv2

Information and implementation of Gradient Boosting, a flexible and performant Machine Learning technique

Language: Python - Size: 2.97 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

alloverheada2/Gradient-Full

Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

reillyc421/Predict-Post-shelter-Outcomes-for-Dogs

Use classification models to predict post-shelter outcomes for dogs (adoption, euthanasia, rescue)

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Rupsvarshney/heart-disease-prediction

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

Language: Jupyter Notebook - Size: 987 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

meAnubhav/Kidney-Disease-Prediction-Model

A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

wlouer/HCR_000002_Parkinsons

Parkinson's Disease Diagnosis Prediction using an evaluation of classification algorithms.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

wlouer/HCR000001_BreastCancer

Exploratory Data Analysis and selection of a Classification Algorithm to predict a Breast Cancer Diagnosis

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

aNdr3W03/Employee-Attrition-Problem

Employee Attrition Problem Analysis and Prediction

Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

rockett-m/JPMC-Quant-Research

JPMorgan Quant Research program

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

vignesh4005/Crowdfunding_Campaign_Success_Prediction

This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

wangy8989/Bankruptcy-Prediction-using-Machine-Learning

Using various machine learning models to predict whether a company will go bankrupt

Language: Jupyter Notebook - Size: 8.81 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 7

ergineeer/HeartAttackPrediction

Heart Attack Prediction Study - Python & MATLAB

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

harmanveer-2546/Diabetes-Prediction-Using-Machine-Learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

Language: Jupyter Notebook - Size: 515 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

phalconVee/telco-churn-ai-ml

Predictive models to analyse a telco firm's customer-level data, to identify customers at high risk of churn and identify the leading indicators.

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

manjugovindarajan/EasyVisa-US-visa-applicant-profiling-using-ML

Analyze data of US work Visa applicants, build a predictive model to facilitate approvals, and based on factors that significantly influence visa status, recommend profiles for whom visa should be certified or denied.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

emma-horton/Leveraging-Machine-Learning-to-Predict-Liver-Cirrhosis-Outcomes-from-Clinical-Data

Predicting liver cirrhosis outcomes using machine learning models based on clinical data.

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: 8 months ago - Pushed at: 8 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: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

FYT3RP4TIL/Fake-News-Detection-V4-Gensim-GoogleNews300

Language: Jupyter Notebook - Size: 9.07 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

FYT3RP4TIL/NewsClassify-V2-Spacy-WordEmbeddings

Language: Jupyter Notebook - Size: 942 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

shwetapardhi/Project-Bankruptcy_Prediction

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

filsan95/Project-Twitter_Bot_Detection

Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

CarbezonKARDE/Heart-Attack-Analysis-and-Prediction

A small demonstration of my knowledge of machine learning algorithms.

Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Ehtisham33/Diabetes-Prediction

This project aims to predict whether a person has diabetes or not using key health metrics such as glucose levels and BMI. The project involves data preprocessing, feature selection, model training, evaluation, and prediction using various machine learning algorithms.

Language: Jupyter Notebook - Size: 965 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

afairless/binary_classification_shap

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Language: Python - Size: 22.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

leabrodyheine/Water-Pump-Status-Prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

Language: Python - Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

tboudart/Life-Expectancy-Regression-Analysis-and-Classification

I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 8 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

Sachinthotre/Credit_Card_Fraud_Detection

Utilizing machine learning models including logistic regression, random forest, gradient boosting, and neural networks to identify fraudulent credit card transactions. Dataset, consisting of PCA-transformed features and unbalanced classes, required precision-recall metrics for accurate evaluation. Developed in Python using TensorFlow and scikit.

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

Language: Jupyter Notebook - Size: 575 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Ezgigunbatar/FertilityStudy

This is a master thesis project done by Ezgi Günbatar for Applied Data Science program at Utrecht University. The repository contains datasets and codebooks which are used in "The Role of Social Networks and Personal Characteristics in Shaping Fertility Intentions: A Multi-Method Machine Learning Perspective" study.

Language: Jupyter Notebook - Size: 6.61 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

hugohiraoka/Travel_Package_Purchase_Prediction

Model to Predict if a customer will purchase a Travel Package

Language: HTML - Size: 32.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sanhiitaa/fastag-fraud-detection-classification

Fastag Fraud Detection Classification System

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sayadennis/classical-ml

Simple and flexible classical ML module that can be used for recording baseline ML performance.

Language: Python - Size: 78.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SophiaRazzaq/Landslide-Insights-and-Prediction

Machine Learning

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

MohamedKhalidLx/Loan-Eligibility-Prediction-Web-App

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

Language: Jupyter Notebook - Size: 681 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

NishraMahveen/A-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

Language: HTML - Size: 170 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

MatteoLucas/Rakuten_Data_Challenge

Ce projet est une proposition de solution au Rakuten Data Challenge. L'objectif est de mettre en œuvre différentes méthodes de Machine Learning et Deep Learning pour résoudre le problème.

Language: Python - Size: 2.77 GB - Last synced at: 6 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

VibolvatanakPOCH/Telecom-Customer-Churn-Analysis-Prediction

Telecom Customer Churn Analysis & Prediction project uses Gradient Boosting for precise predictions, Power BI for churn pattern visualizations, and Streamlit for interactive insights. With robust code and meticulous data preprocessing, stakeholders access accurate predictions to optimize retention and drive profitability.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

astonglen/Employee-Attrition

This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

roniantoniius/American-Company-Bankrupt-Prediction-Using-Neural-Network

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

sayande01/Fake_News_Prediction_Machine_Learning

This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.

Language: Jupyter Notebook - Size: 819 KB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tranhlok/titanic

Titanic Kaggle

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hhafzahh/Mobile-Price-Range-Prediction

Machine Learning Algorithms using Python 3 to predict price ranges of mobile phone

Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

amir-rs/Brest-Cancer-Prediction-using-ML

Language: Jupyter Notebook - Size: 2.56 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

billy-enrizky/Loan-Prediction-Status

Explore an ML model with Logistic Regression, SVM, Gradient Boosting, Random Forest, and Decision Tree, enhanced via Hyperparameter Tuning. Experience our GUI-based ML model with 82.49% accuracy. Try it now!

Language: HTML - Size: 395 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

PavanParchuri/Body-Fitness-Prediction

⚡ BODY FITNESS PREDICTION is a Machine Learning based web application that is used to predict the fitness levels of a person (Active/Inactive).

Language: Jupyter Notebook - Size: 649 KB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

MaxiRuess/ML_101

Different ML Algorithms both in scripts & Jupyter Notebooks

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MylieMudaliyar/Credit-Card-Fraud-Detection

Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.

Language: Jupyter Notebook - Size: 305 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DataScienceVishal/Attrition_Prediciton

Employees Attrition prediction and identifying its main influencing features.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

dorianDraper/Boosting-Algorithms

Applying boosting techniques such as GradientBoostingClassifier, GradientBoostingRegressor (eXtreme Gradient Boosting (XGBClassifier and XGBRegressor functions). This repo contains class examples and the project.

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vishakhaa10/Titanic-classification

Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.

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MayankGupta6902/Campus-Recruitment-Prediction

It is a Machine Learning model (gradient boosting) which will predict the recuitments on the basis of dataset provided

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Akshadachavan02/classification-_algo

As the there are couple of classification algorithms in supervised machine learning so some of them as here..

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KwokHing/YandexCatBoost-Python-Demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

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Abdelrahman-Amen/Titanic-survival-prediction

The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.

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LHarieswar/Email-Spam-Classifier

Spam Email Detection using Machine Learning Classifier Algorithms

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leffff/stackboost

Open source gradient boosting library

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tararelan/Kaggle-Pancreatic-Cancer

Urinary Biomarkers for Pancreatic Cancer

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i3house/Income-Prediction

Predicting Annual Income from Census Data: A Binary Classification Analysis using various ML Techniques

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kojen-coder/kickstarter-ml

This project applies Gradient Boosting to predict the outcome of Kickstarter campaigns and uses K-means Clustering to uncover project trends, providing deeper insights into their distinct features.

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DmitryAsdre/rocauc_pairwise

RocAuc Pairiwse objective for gradient boosting

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