GitHub topics: linear-regression

Repositories

arjkun456/Predicting-Movie-Rental-Durations-DataCamp

📀 Predict rental durations for DVDs using regression models to enhance inventory planning and improve customer satisfaction.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

AHBRIJESH/Linear_Regression_Algorithm

Linear Regression Model Implementation: Explore a simple Python model using scikit-learn. Data in data.csv, detailed Jupyter guide (Linear_Regression_Model.ipynb). Contributions welcome!

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Nikelroid/provinces-covid-mortality-analysis

An R-based statistical analysis project using linear regression to estimate and visualize excess mortality across 31 Iranian provinces by modeling historical death rates.

Language: R - Size: 2.05 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

Language: Jupyter Notebook - Size: 5.51 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 18 - Forks: 4

Ahmad098777/dat

🔍 Audit source code with Dev Audit Tool (DAT) for security, compliance, and quality, ensuring robust development workflows across multiple platforms.

Language: Python - Size: 2.17 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

lavishly-deathly/energy-consumption-ml-prediction

⚡ Predict energy consumption in buildings using machine learning, revealing key patterns across various types and enhancing efficiency.

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

aromanro/MachineLearning

From linear regression towards neural networks...

Language: C++ - Size: 250 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 27 - Forks: 0

saba-khan441/Enhancing-Automated-Essay-Scoring-A-Comparative-Study-of-Deep-Learning-and-Traditional-Models

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

naus911/ads-eda-predictor

🤖 Analyze and predict marketing campaign performance with an interactive dashboard for Facebook Ads and AdWords using data exploration and machine learning techniques.

Language: HTML - Size: 18.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

miyamura-web/UPI_Demand_and_Fraud_Forecasting

Predictive analytics project using Linear and Logistic Regression to forecast UPI transaction demand and detect potential fraud in India’s digital payment ecosystem.

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

trekhleb/machine-learning-octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Language: MATLAB - Size: 10.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 888 - Forks: 249

khteh/pAIthon

Python AI, ML, DL and NLP exploration playground.

Language: Python - Size: 2.21 GB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

Bharati2301/Real-Estate-Valuation-Model-using-Linear-Regression

Language: Jupyter Notebook - Size: 914 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

radwanhefny/linear-regression-from-scratch-univariate

A from-scratch implementation of Univariate Linear Regression in Python, demonstrating the full mathematical workflow—data preparation, cost function, gradient descent, and evaluation—without using any ML libraries.

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

igorkotlarz1/Simple-ML-algorithms

The goal of this repo is to implement some of the most popular ML algorithms from scratch in Python and compare their performance with e.g SK-Learn models.

Language: Jupyter Notebook - Size: 82 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

dev-gaitano/model-linear-regression

Language: Python - Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Divesh-Kshirsagar/Seoul-Bike-Sharing-Demand-Predictor

This notebook is focused on predicting bike rental counts using various regression models.

Language: Jupyter Notebook - Size: 474 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

khadijja1/carprice-vs-milage-

Car Price Prediction using Linear Regression This project demonstrates how mileage affects car price using gradient descent.

Language: Python - Size: 3.91 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

Simran83kaur/House-price-prediction

Machine Learning Project to predict house prices using linear regression. Includes data preprocessing, model training , evaluation, and prediction.

Language: Jupyter Notebook - Size: 501 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

ashr-exe/zkp-regression

A Picus-verified ZK-SNARK circuit for Linear Regression. Proves Sum of Squared Error (SSE) is within a public threshold without revealing model weights or training data.

Language: JavaScript - Size: 70.3 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

mhdee740/insurance-charges-prediction-linear-regression

Predict insurance charges with linear regression; Python project offers a concise EDA-to-model workflow with feature engineering, training, and evaluation 🐙.

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

shahanlezan/Laptop-Price-Predictor

💻 Analyze laptop features to predict prices accurately, helping consumers make informed decisions in the tech market.

Language: Jupyter Notebook - Size: 2.77 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Barbosinha04/analise-vendas-ecommerce

Pipeline completo de Data Science para E-commerce: ETL, Análise Exploratória (EDA), Testes Estatísticos (ANOVA) e Regressão Linear para previsão de vendas.

Language: Python - Size: 3.91 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ashabakshi/Machine-learning-practice

Machine Learning practice notebooks and projects by Asha Bakshi

Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

tejbhanp/SalaryAi

# 💼 SalaryAi**SalaryAi** predicts salaries using AI. Users enter their details, and the app provides an estimate based on U.S. salary data. 🐙

Language: Jupyter Notebook - Size: 432 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

KarimDaBoss/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

TUKIiq9/assertive

Assortative extra light sugar for @NodeJS assert.

Size: 1000 Bytes - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ranegade141/au-health-identifiers

🪪 Validate and generate Australian Health Identifiers with this C# library for reliable healthcare data management.

Size: 51.8 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

natta43/Freight_Optimization

🚛 Optimize freight routing with machine learning and linear programming to reduce costs and delays across 37 logistics hubs in the Northeastern U.S.

Language: Jupyter Notebook - Size: 34 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Maxeats12/car-price-predictor-using-ml

🚗 Predict car prices using advanced machine learning techniques for high accuracy and real-time insights. Explore our effective regression models.

Language: Python - Size: 1.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

martinxnz123/machine-learning-zoomcamp

🤖 Learn machine learning engineering, from basic concepts to deployment, through a hands-on course designed for practical skills and community support.

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Advanced-vyra/create-node-spark

CLI tool to scaffold scalable, production-ready Node.js backends with Express, JWT, dotenv, ESM, ESLint — in seconds.

Language: JavaScript - Size: 17.6 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 1

sm00thix/cvmatrix

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

Language: Python - Size: 1.41 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 21 - Forks: 2

sm00thix/ikpls

Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025). This package also includes options to use sample weights for PLS modeling.

Language: Python - Size: 2.32 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 30 - Forks: 5

Fatima-Haneef/ML

Hands-on machine learning course with Python covering supervised learning (SVM, regression), unsupervised learning (K-Means, IRIS dataset), and deep learning (CNNs) using scikit-learn and TensorFlow.

Language: Jupyter Notebook - Size: 1.06 GB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

AyaBoughanmi02/Salary-Prediction-Project

A comprehensive machine learning project using Linear and Logistic Regression to forecast salary value and classify six-figure earners

Language: Jupyter Notebook - Size: 725 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Nandha1504/Calories-Burnt-Prediction

🏃♂️ Predict calories burnt with a machine learning model that analyzes personal data and exercise metrics for accurate estimations.

Language: Python - Size: 1.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

ML-mm/Machine-Learning

Projects related to Machine Learning.

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Jackoviic/Linear-Regression-Gradient-Descent-From-Scratch

Multiple Linear Regression implemented from scratch in Python using Gradient Descent to predict diabetes progression (Y) from 10 physiological features. Features data normalization, cost function analysis, and model visualization. 📉📊🧠

Language: Python - Size: 82 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

sudhanshu182004/ml-from-scratch

A comprehensive collection of practical machine learning examples using popular frameworks and libraries.

Size: 1.95 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

Abdulbaqi78692/house-price-prediction

🏠 Predict house prices accurately using machine learning with Python and Flask in this complete end-to-end project.

Language: Python - Size: 1.31 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

bothiyarasu/predicting-IMDb-ratings

🎬 Predict IMDb ratings to guide PProductions in selecting successful film projects through data analysis and predictive modeling.

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

illoonego/linear-regression-from-scratch

A professional, educational Python library implementing linear regression and essential ML utilities from the ground up. Includes custom data preprocessing, train/test splitting, and a clean, modular API—ideal for learning, experimentation, and research.

Language: Python - Size: 29.3 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Yuri062lm/Unity-RTML-ToolKit

Real-time machine learning for Unity. Lightweight, OSC-controllable, and perfect for mobile and Mixed Reality. Explore the Unity-RTML-ToolKit! 🛠️🚀

Language: C# - Size: 128 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

tvbondar/python_projects

This repository contains my personal Python projects

Language: Python - Size: 6.37 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Grimstrrr/Argonz-ML

A light weight machine learning library published on npmjs

Size: 1000 Bytes - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

zhaa-kun/analytical-models-in-excel

🐙 Analytical Models in Excel: linear regression, forecasting, classification, and visualizations. Data analytics portfolio of predictive models built in Excel.

Size: 578 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

SebastianC2003/MLB-Performance-Analytics

Applied data science to Major League Baseball (MLB) statistics using K-means Clustering, Regression, and Decision Trees to uncover the key factors driving team success and All-Star player selection. ⚾📈

Size: 6.73 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

brt427/EstatePro

accurately predict housing prices based on their features with machine learning

Language: Jupyter Notebook - Size: 884 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

MoMo790-m/Startup-Profit-Prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Mayurji/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Language: Python - Size: 758 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 129 - Forks: 37

arnolddelaguila/Advanced-Multi-Asset-Algorithmic-Trading-System-with-Machine-Learning-Integration

Explore an advanced multi-asset algorithmic trading system with machine learning integration. Optimize strategies, backtest rigorously, and achieve high performance. 🐙📈

Language: Jupyter Notebook - Size: 520 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

PrathicaShettyM/MachineLearningAlgorithms

Contains mini projects and implementation using ML algorithms

Language: Python - Size: 211 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

FR34KY-CODER/Machine-Learning-Journey

Daily Machine Learning journey — A consistent log of my progress as I commit every single day to learning and building in the field of ML.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

ayodeji-0/Token-Wrapped-Token-Delta

Statistical exploration of liquidity inefficiencies caused by wrapped tokens in select crypto markets. Can also use trends identified to determine trade entry and exit positions.

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

DarkMortal/Machine-Learning

Jupyter Notebooks for Machine Learning Algorithms

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 1

andreihar/footy-ai

App for predicting UEFA Euro and Nations League tournaments

Language: TypeScript - Size: 7.34 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 2 - Forks: 0

pcm-ds19/ReCell-Price-Prediction-Model

Predictive Modeling project for ReCell to estimate used device prices using Linear Regression. Includes full EDA, preprocessing, assumptions testing, model evaluation, and actionable insights.

Size: 4.88 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

leta199/Linear-Regression

Linear regression created from scratch and comparing my implementation to that of popular packages like scikit -learn on financial data

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

ChaikaOlga/determining_the_cost_of_cars

Проектная работа по продаже автомобилей

Language: Jupyter Notebook - Size: 579 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ChaikaOlga/location_for_an_oil_well

Проектная работа по выявлению объёмов запаса нефти

Language: Jupyter Notebook - Size: 427 KB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

prasannakumar-neeli/DATA-SCIENCE-PROJECT

This project performs customer segmentation using K-Means clustering on mall customer data. It helps identify target customer groups based on spending behavior and income to support strategic marketing decisions.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

fcamasca/Marketing-Sales-Analysis

Se analizó la relación entre la inversión en distintos canales de marketing y el nivel de ventas, con el objetivo de identificar qué medio tiene mayor impacto en los resultados comerciales. El análisis incluyó exploración de datos, modelado estadístico y validación de supuestos.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

gdaffa/linear-regression-in-c

Implementing linear regression algorithm in C to challenge myself.

Language: C - Size: 128 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

nrdnay/Iterative-Multistep-Forecast-Training-For-TimeSeries

This document is designed as a training document describing the application of the iterative (recersive) multi-step method in time series forecasting. Each iteration is affected by the successes and failures of previous iterations. As the iterative process progresses, prediction errors can increase as incorrect predictions are added to the input.

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

zyna-b/Machine-Learning-Playground

“Machine learning playground of gradient-descent-focused Jupyter notebooks covering linear/logistic regression, perceptron variants, and upcoming algorithm tutorials.”

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

ashishtele/Python_Scripts

Useful class scripts such as Twitter comment scrap, Facebook data map

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 6 - Forks: 1

MSreekari/machine-learning-algorithms

This repository contains the implementation of core Machine Learning and Data Mining algorithms from scratch using Python and NumPy. Each algorithm is presented in a clean Jupyter Notebook visualizations, and results. Included programs: Linear Regression, Logistic Regression, K-Means Clustering and other essential ML lab experiments.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

parvvaresh/ML-algorithms

Here we have fully implemented a number of algorithms related to machine learning

Language: Python - Size: 409 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 20 - Forks: 1

ottenbreit-data-science/aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

Language: C++ - Size: 8.15 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 21 - Forks: 5

pydevcasts/ML_Doc

📚 This book is a comprehensive resource for learning Machine Learning, Deep Learning, and Reinforcement Learning. Our aim is to provide Persian speakers with a guide that enhances their understanding of these advanced algorithms and techniques, facilitating the transition from theory to practical application.

Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

tseringjsherpa/pyspark-ml-housing-prices-pipeline

Distributed machine learning pipeline using Apache Spark to predict housing prices in King County, Seattle. Includes data preprocessing, feature engineering, MLR modeling, and interactive dashboards.

Language: HTML - Size: 4.84 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

tseringjsherpa/Netflix-EDA-with-Python

Data analysis and machine learning project examining 8,700+ Netflix titles to reveal content trends, genre patterns, and regional preferences, with predictive modeling for movie duration.

Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

elarsaks/gha_ml_pipeline

End to End Machine Learning System in GitHub Actions

Language: TypeScript - Size: 6.74 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

DataZooDE/anofox-statistics

A DuckDB extension for statistical regression analysis, providing OLS, Ridge, WLS, and time-series regression capabilities with full diagnostics and inference directly in SQL.

Language: C++ - Size: 819 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 1

khushi1k4/MedInsurance_CostPrediction

Predicting medical insurance costs using Linear Regression and other ML models built with Python, Pandas, Scikit-learn, NumPy, and Matplotlib — enabling fair premium calculation, risk assessment, and informed healthcare decisions.

Language: Jupyter Notebook - Size: 186 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

SyedTahfim/Multiple-Linear-Regression-from-Scratch

Building linear regression from the ground up to understand the math behind gradient descent, cost functions, and parameter optimization.

Language: Jupyter Notebook - Size: 214 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

ArnavKucheriya/NJIT

Coursework at NJIT

Language: Jupyter Notebook - Size: 423 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

friendly/Vis-MLM-book

Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R" to be published by Taylor & Francis (CRC Press), 2026

Language: TeX - Size: 575 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 13 - Forks: 3

RitabrataMandal/CS5691-Pattern-Recognition-and-Machine-Learning

This repository contains the assignments and tutorials for the course CS5671: Pattern Recognition and Machine Learning offered in the July–November 2025 semester. Instructor : Dr. Manikandan Narayanan

Language: Jupyter Notebook - Size: 67.1 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

bongjoonno/Machine-Learn

a machine learning library for prediction and categorization

Language: Python - Size: 488 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

RebeccaMorolong/customer-aquisition-analysis

This repository contains a full pipeline for analyzing customer acquisition patterns, building predictive models, and visualizing insights through dashboards. It is designed to help businesses understand which factors drive customer acquisition, optimize marketing strategies, and improve retention.

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0