Topic: "classification-models"
aml4td/website
Website sources for Applied Machine Learning for Tabular Data
Language: TeX - Size: 874 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 137 - Forks: 12
dirkhovy/text_analysis_for_social_science
Code for the CUP Elements on text analysis in Python for social scientists
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 136 - Forks: 31
brian-j-smith/MachineShop
MachineShop: R package of models and tools for machine learning
Language: R - Size: 14.9 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 62 - Forks: 9
yupidevs/pactus
Framework to evaluate Trajectory Classification Algorithms
Language: Python - Size: 1.17 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 45 - Forks: 0
heliphix/btc_data
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 45 - Forks: 29
UTS-CASLab/hyperbox-brain
A scikit-learn compatible hyperbox-based machine learning library in Python
Language: Python - Size: 8.45 MB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 33 - Forks: 2
lucastsutsui/EmbML
A tool to support using classification models in low-power and microcontroller-based embedded systems.
Language: Python - Size: 178 KB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 1
thieu1995/IntelELM
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 16 - Forks: 4
RicardoMoya/Data_Science_Introduction_With_Python
En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.
Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 8
thieu1995/MetaPerceptron
MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization
Language: Python - Size: 338 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 11 - Forks: 1
AiCorsair/Dataquest-Data-Science-Analysis-Projects
A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.
Language: Jupyter Notebook - Size: 74 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 3
cereniyim/Data-Science-Projects
Repository for several data science and analysis projects
Size: 97.1 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 7
BlueBrain/morphoclass
Neuronal morphology preparation and classification using Machine Learning.
Language: Python - Size: 1.53 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 9 - Forks: 4
SayamAlt/Water-Quality-Prediction
Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.
Language: Jupyter Notebook - Size: 7 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2
imharshag/Data-Mining-Models-weka
This aims to explore different data mining techniques, such as classification, regression, clustering, and association rule mining, using datasets available in Weka.
Size: 82 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0
pyladiesams/classification-bias-beginner-apr2021
Basics of classification and bias
Size: 4.66 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2
aadimangla/Predicting-product-sales-through-ads
In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to display ads of its newly launched car.Now since the company relies heavily on the success of its newly launched car it would leave no stone unturned while trying to advertise the car. Well then whats better than advertising it on the most popular platform right now.But what if we only advertise it to the correct crowd.
Language: Python - Size: 12.7 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1
KKeshav1101/ML_AtoZ-Using-Python
Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"
Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0
Mohanty-Hitesh-4495/Indian-Script-Classification
A repository housing a CNN model for text recognition, implemented in Python with TensorFlow and OpenCV.
Language: Jupyter Notebook - Size: 127 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0
wandalistathea/analisis_sentimen_tokopedia
Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method
Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1
ahmedshahriar/Customer-Churn-Prediction
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
Language: HTML - Size: 3.48 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3
NourKamaly/AirlineTicketPricePrediction
First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities
Language: Jupyter Notebook - Size: 231 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 4
VeeLeeKoh/Stop-and-Frisk-Data-Analysis
Application of data analytics and machine learning to classify if an individual stopped by the police in New York City will be frisked, based on the circumstances of the stop and features of the individual suspect.
Language: Jupyter Notebook - Size: 350 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1
bioinfoUQAM/Caribou
Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning
Language: Python - Size: 9.82 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1
YenLinWu/Daily_Work_of_Data_Science
資料科學的日常研究議題
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Mohit6304/Parkinsons-Disease-Detection
A machine learning-based web app for detecting Parkinson's disease from voice recordings. The app extracts key voice features, applies pre-trained models, and provides real-time predictions of Parkinson's likelihood. Built using Streamlit, Librosa, and scikit-learn.
Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1
chentyra/jetracer-CollisionAvoidance
Collision Avoidance Strategies with Jetracer Pro AI Kit.
Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 1
sinanw/ml-classification-malicious-network-traffic
This project aims to analyze and classify a real network traffic dataset to detect malicious/benign traffic records. It compares and tunes the performance of several Machine Learning algorithms to maintain the highest accuracy and lowest False Positive/Negative rates.
Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1
deborabmfreitas/projeto-churn-classificacao
Projeto de predição de churn utilizando algoritmos de classificação. Ao final do projeto, foi entregue um modelo de machine learning que consegue prever o churn dos clientes futuros e, também, foi dada uma lista com os atuais clientes que estão em maior risco de churn.
Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
janhavi-giri/Analysis-Online-Shopping-Behavior
Data science project conducting complete analysis of online shopping behavior
Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
Jspano95/Retail-Customer-Classification-Modelling
Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
leo-cavalcante/airline-passenger-satisfaction
Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.
Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1
svaniksharma/RelevanceVectorMachine.jl
An implementation of a relevance vector machine, a sparse Bayesian version of a SVM
Language: Julia - Size: 251 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
daspartho/DistillClassifier
Easily generate synthetic data for classification tasks using LLMs
Language: Python - Size: 1020 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
rixsilverith/mlmodelling
Experimental machine learning library that provides readable yet efficient implementations of fundamental ML models, written using NumPy.
Language: Python - Size: 162 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
xaviernogueira/Tabular_ML
Tabular machine learning simplified!
Language: Python - Size: 39 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
akshayjain777/CS584-Machine-Learning-Course-Work
My Masters Coursework on Machine Learning
Language: Jupyter Notebook - Size: 997 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
MouadEttali/From-scratch-machine-learning---From-mathematical-formulas-to-functioning-algorithms
Implementation of machine learning algorithms from their basic mathematical fundamentals to their code counterparts.
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
ayushs2k1/Image-Classification
Language: Jupyter Notebook - Size: 10 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
anastazijaverovic/Machine_Learning_Algorithms_R
The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.
Language: R - Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2
arjunsingh88/Big-Data-Pyspark
The goal was to perform predictive maintenance on commercial turbofan engine. The approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. To be specific, to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine based on run-to-failure data of a fleet of similar jet engines. Supervised learning(Regression and Classification models) models were adapted and customized to fit our problem.
Language: HTML - Size: 18.3 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
arkapatra31/ML
Learning and Implementation of my Machine Learning Journey
Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
harshvardhansgupta/Fraud_Call_Detection
A Kivy-based app for detecting fraudulent calls using machine learning. Features Google Speech-to-Text integration, Logistic Regression with 98.6% accuracy, and Android compatibility via Buildozer.
Language: Jupyter Notebook - Size: 496 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Ansuman21/KNN_vs_SVM_for_Optimal_Predictions
Data Science Project (Classification via KNN & SVM M8)
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
OrHostezky/winning-space-race-with-data-science
An end-to-end data science project, completed as the capstone project for the IBM Data Science Professional Certificate program (course 10), including code notebooks, a dashboard application, and a summary presentation (in the making)
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
denpalrius/sports_action_recognition
A comparative study of ViViT, CNN-GRU sequence models for video action recognition using the UCF101 dataset
Language: Jupyter Notebook - Size: 117 MB - Last synced at: 4 months ago - Pushed at: 7 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: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1
jhylin/ML2-1_decision_tree
Machine learning series 2.1 on decision tree
Language: Jupyter Notebook - Size: 754 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
larenwell/ds-ml-pycaret-latam-airlines-challenge
Repository where it is intended to address the challenge of LATAM Airlines, which consists of predicting the probability of delay of flights that land or take off from the Santiago de Chile airport (SCL)
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
MGRedex/NLP_disaster_tweets
Models for disaster tweets classification
Language: Python - Size: 257 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
meer-khan/Machine-Learning-Algorithms
This repo is all about my Machine Learning Journey
Language: Jupyter Notebook - Size: 763 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
gtrane/Medical-News-of-2022-Topic-Modeling-Clustering-and-Classification
Utilized Jupyter Notebooks to scrape over 8,500 articles from a medical news site and applied clustering, LDA topic modeling, and classification techniques to find similar news topics and predict article sentiment
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miguelfbianchi/Praticas_Data_Science
Práticas desenvolvidas durante o curso "Cientista de Dados Iniciante", da Mentorama
Language: Jupyter Notebook - Size: 5.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
adamparkosidis/NLP-Yelp-Reviews
Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews
Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
itsliamdowd/Airplane-Boat-Car
Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!
Language: Python - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Shazam-19/loan-status-classifier
A model to classify loan status using ML Classification algorithms.
Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
mmsaki/credit-risks-ml
Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.
Language: Jupyter Notebook - Size: 9.02 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Fjeanneret/multiSight
:bar_chart: :clipboard: Bioconductor R package with Graphical Interface to handle multi-omic data by Classification, Enrichment and Network inference.
Language: R - Size: 3.64 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
vishishtpriyadarshi/imbcobra
COBRA for Classification tasks on Imbalanced Data
Language: Python - Size: 1.82 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
sn1411/Credit_card_fraud_detection
This project aims to build classification models which can be used by financial institutions to detect fraud credit card transactions
Language: Jupyter Notebook - Size: 146 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
jorgedcferreira/knn-R
knn made from scratch with R
Language: R - Size: 227 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
carlostomeh/Predict_Marketing_Campaign_Success
Goal: Develop Machine Learning aplication in a distributed environment using AWS services with Spark.
Language: Jupyter Notebook - Size: 469 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
bsiegelwax/Standard-Deviation-MNIST
"Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
amanda-park/easytidymodels
An R package that simplifies running machine learning algorithms using the tidymodels framework. Includes classification and regression models.
Language: R - Size: 264 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
hayriyeanill/ChessGameWinnerPrediction
Classification with Feature Selection and Extraction Methods
Language: Python - Size: 2.64 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
crushedmonster/GA_Projects
General Assembly Data Science Projects
Language: Jupyter Notebook - Size: 55.4 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1
omarr-gamal/IBM-Machine-Learning-with-Python-Course
Machine learning example code in topics such classification, clustering and recommender systems in different techniques and approaches.
Language: Python - Size: 3.73 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
jesussantana/Supervised-Classification
Let’s practice and become familiar with classification algorithms.
Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
janhavi-giri/Predictive-Analysis-Ecommerce
Data Science Project using predictive modeling for online shopping portal data streams
Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
emuell/AFEC-Classifiers
Audio sample datasets and Tensorflow experiments for AFEC's classifiers
Language: Python - Size: 38.1 KB - Last synced at: about 18 hours ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
camerongridley/UnemploymentMentalHealth
Uses machine learning classification models predict unemployment based on mental health data.
Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
Mananp96/Machine-Learning-Models
The project is based on datasets from various sectors namely finance, health, industrial, crime, education, social media, biology, product and multimedia from the UCI repository and Kaggle. Trained and evaluated 8 classification methods across 10 classification datasets, 7 regression methods across 10 regression datasets and 2 classification methods (Convolutional Neural Network and Decision Tree Classifier).
Language: Jupyter Notebook - Size: 39.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
dmuiruri/woltorders
This project is an analysis of order data from Wolt - a food deliver platform
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
abhipaiangle/Intelligent_Agent_AbhishekPaiAngle
Seasons of Code 2020 Project
Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
stivenramireza/machine-learning-models
Regression, classification, clustering and recommender systems models.
Language: Jupyter Notebook - Size: 285 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
yitistica/classifier_evaluator
evaluators for classification models
Language: Python - Size: 266 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
michael-eble/nlp-dataset-health-german-language
Provides "social media"-like natural language data for training health-related classification models in German language
Size: 75.2 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
Ryohskay/peshitta_cj
Attempt to classify OT Peshitta (a [Classical] Syriac Translation of the Old Testament) into verses authored by Jews and Christians
Language: Jupyter Notebook - Size: 73.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
shambhuraj-patil/ML-Major-Project
An end-to-end machine learning system for detecting fraudulent transactions. This project includes data cleaning, visualization, handling class imbalance with SMOTE, feature scaling, and training robust classification models like Logistic Regression and Random Forest with hyperparameter tuning.
Language: Python - Size: 271 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
matt-balda/.tcc.eeg-signals-neuropsychiatric
BrainDx: Binary and Multiclass Models
Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
neelanshu7/Breast_Cancer_Prediction
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
sabin74/loan_approval_prediction
This project predicts whether a loan application will be approved or not using machine learning classification models. The dataset used is from Kaggle’s Loan Prediction problem. The goal is to build a robust model to assist banks or financial institutions in making automated loan approval decisions.
Language: Jupyter Notebook - Size: 923 KB - Last synced at: 6 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
n7vpham/Hit-or-Miss-ML
Predicting video game success with ML models trained on Kaggle data. Logistic regression and neural network comparison.
Language: Jupyter Notebook - Size: 740 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
jordandeklerk/sieve
Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation
Language: Python - Size: 157 KB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
SuryaVamsi-P/Customer-Churn-Prediction-using-R-and-ML-Models
Predicts customer churn using ML models (Decision Tree, Random Forest, Logistic Regression, SVM, KNN, XGBoost) in R, with powerful data visualizations to uncover retention patterns and drive actionable insights in customer lifecycle analysis.
Language: R - Size: 19.5 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
levisstrauss/Banking-Customer-Churn-Prediction-System
Enterprise ML system for banking customer churn prediction (91% accuracy). Delivers actionable retention insights with production-ready implementation including comprehensive testing and deployment options for real-world business impact.
Language: Jupyter Notebook - Size: 5.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
DanielVieira07/Inadimplencia_case
Projeto final do curso de formação cientista de dados, classificação de risco de credito com foco em redução de inadimplência usando machine learning, modelos de classificação.
Language: Jupyter Notebook - Size: 825 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
herrerovir/Predictive-maintenance-industrial-machinery
A machine learning project aimed at predicting failures in an industrial milling machine using a random forest model.
Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Shanmukhi1920/Heart-Failure-Prediction
Explored Heart Failure Prediction Dataset and performed Classification and Clustering on the data using R.
Size: 37.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Shanmukhi1920/Song-Genre-Classification
An Interactive Web Application to classify song genres as either "HipHop" or "Rock" based on audio features.
Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
raghavendranhp/Industrial_copper_modelling
Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.
Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
didogrigorov/AirQualityMLClassification
Machine Learning Classification Model with TensorFlow Based on the Data Coming From City Air Quality Sensors
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Haseeeb21/Machine-Learning-Models
Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
netlabufjf/nwdaf_ml Fork of oliveiraleo/mnc_NWDAF
ML functionality based on NWDAF for the classification of 5G devices based on their traffic
Language: Python - Size: 33 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Athul64/Student-Depression-ML
The Student Depression Dataset is designed to analyze and predict depression levels among students based on various academic, demographic, and lifestyle features.
Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
94muhammad/Data-Science
Solutions to real world machine learning problems
Language: Jupyter Notebook - Size: 4.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Asingh-2430/Precipitation-Forecasting-Model
A machine learning project in R to forecast rainfall using multiple classification algorithms and performance comparison.
Language: R - Size: 2.88 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
XAheli/DeepLense_ML4SCI-GSoC25
Implementation of ML4SCI evaluation tasks for GSoC 2025, featuring deep learning approaches for gravitational lensing analysis including multi-class classification, lens finding with class imbalance and generative models for synthetic lensing image creation.
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ArchitJ6/CancerGuardian
CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀
Language: Python - Size: 62.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
otuemre/FraudDetectAI
FraudDetectAI is an advanced credit card fraud detection system built with XGBoost and Hybrid SMOTE Sampling (Oversampling + Undersampling). This project tackles highly imbalanced datasets, ensuring strong fraud detection accuracy while minimizing overfitting risks.
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