classification-models

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

random-forest exploratory-data-analysis classification logistic-regression outlier-detection decision-trees classification-algorithm lead-generation lead-scoring classification-models lead-scoring-case-study

UpdatedMar 17, 2021
Jupyter Notebook

brian-j-smith /MachineShop

Star62

MachineShop: R package of models and tools for machine learning

machine-learning r predictive-modeling regression-models survival-models classification-models

UpdatedDec 16, 2025
R

heliphix /btc_data

Star52

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"

machine-learning deep-learning time-series bitcoin svm blockchain prediction feature-selection cryptocurrency lstm pca-analysis artificial-neural-networks decision-trees regression-models technical-indicators btc-data classification-models bitcoin-prices

UpdatedJan 29, 2022
Jupyter Notebook

yupidevs /pactus

Star46

Framework to evaluate Trajectory Classification Algorithms

python transformers classification trajectory-analysis trajectory evaluation-framework classification-models

UpdatedJul 22, 2024
Python

UTS-CASLab /hyperbox-brain

Star32

A scikit-learn compatible hyperbox-based machine learning library in Python

machine-learning explainable-ml classification-models hyperbox-based-machine-learning fuzzy-min-max-neural-networks gfmm fmnn

UpdatedOct 18, 2025
Python

MuhamedHabib /default-payment-next-month-ML-system

Star26

machine-learning-algorithms academic-project classification-models model-evaluation-and-selection

UpdatedJul 9, 2024
Jupyter Notebook

RicardoMoya /Data_Science_Introduction_With_Python

Star26

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.

data-science machine-learning scikit-learn pandas seaborn matplotlib regression-models classification-models clustering-models principa

UpdatedNov 20, 2021
Jupyter Notebook

sinanw /ml-classification-malicious-network-traffic

Star24

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.

machine-learning artificial-intelligence cybersecurity network-security classification-models

UpdatedMay 1, 2024
Jupyter Notebook

virajbhutada /telecom-customer-churn-prediction

Star21

Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

data-science machine-learning neural-network python-library machine-learning-algorithms eda pandas data-analysis logistic-regression powerbi roc-curve decision-tree-classifier churn-prediction machine-learning-models random-forest-classifier classification-models customer-churn-prediction customer-attrition-analysis xgboost-classifier powerbi-desktop

UpdatedAug 16, 2025
HTML

thieu1995 /IntelELM

Star20

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

machine-learning elm genetic-algorithm scikit-learn neural-networks regression-models evolutionary-computation particle-swarm-optimization extreme-learning-machine swarm-intelligence-algorithms nature-inspired-algorithms classification-models metaheuristic-algorithms whale-optimization-algorithm metaheuristic-based-extreme-learning-machine mha-elm

UpdatedJun 4, 2025
Jupyter Notebook

lucastsutsui /EmbML

Star18

A tool to support using classification models in low-power and microcontroller-based embedded systems.

classifier machine-learning microcontroller microcontrollers scikit-learn embedded-systems weka iot-device edge-computing classification-model edge-machine-learning classification-models tinyml embml

UpdatedApr 5, 2023
Python

wandalistathea /analisis_sentimen_tokopedia

Star17

Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method

python flask deployment sentiment-analysis sentiment-classification classification-models

UpdatedSep 5, 2023
Jupyter Notebook

MuhamedHabib /DataScienceProject

Star17

Projet-PI-4DS2

data-science nlp-machine-learning extract-features data-augmentation-strategies classification-models crisp-dm default-payment-method

UpdatedJul 17, 2024
Jupyter Notebook

thieu1995 /MetaPerceptron

Star15

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

neural-network genetic-algorithm mlp regression-models multi-layer-perceptron particle-swarm-optimization metaheuristics global-search adam-optimizer sgd-optimizer classification-models metaheuristic-algorithms whale-optimization-algorithm nature-inspired-optimization adagrad-approach metaheuristic-based-multi-layer-perceptron gradient-free-based-multi-layer-perceptron adelta-optimizer

UpdatedJun 4, 2025
Python

AiCorsair /Dataquest-Data-Science-Analysis-Projects

Star13

A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.

data-science machine-learning sql deep-learning excel pandas-dataframe scikit-learn power-bi data-visualization web-scraping data-analytics data-analysis python-3 data-preprocessing feature-engineering regression-models data-preparation data-cleaning cluster-analysis classification-models

UpdatedJan 11, 2025
Jupyter Notebook

farrellwahyudi /Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

Star12

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

machine-learning data-analysis logistic-regression confusion-matrix learning-curve impact-analysis feature-importance click-through-rate classification-models business-recommendation ad-click-prediction