Joe-Naz01/time_series_valid

Practical guide to validating time-series models: stationary vs non-stationary setups, leakage pitfalls, expanding/rolling TimeSeriesSplit, Ridge/LinearRegression baselines, and bootstrap CIs for metrics. Includes utilities for feature engineering (percent_change) and visualization.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

deliprofesor/2024-Salary-Analysis-for-Machine-Learning-Engineers

This project analyzes a salary dataset to explore factors like experience, company size, remote work ratio, and country. It includes data cleaning, group analysis, visualizations, and machine learning models (linear regression and Random Forest) to predict salaries and identify key features.

Language: Jupyter Notebook - Size: 992 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

johnny-crawford/Price-Prediction-Model

Hybrid LR+LSTM model for SPY return prediction - a learning project using Python, TensorFlow, and scikit-learn.

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antonior92/advtrain-linear

Efficient implementation of Adversarial Training for Linear Models

Language: Python - Size: 1.79 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

RifaAmrilSahputra/Student-Performance

Predicting student performance using study hours, previous scores, sleep, practice sheets, and extracurricular participation with linear regression, Random Forest, and XGBoost in R.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Language: Julia - Size: 1.55 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 387 - Forks: 84

Davide011/ML_project_South_African_Heart_Disease

Public Repository: Machine Learning & Data Mining project using the South African Heart Disease dataset. Applied PCA, Regularized Linear Regression, ANN, Logistic Regression, and Decision Trees with cross-validation for regression and classification. Includes feature scaling, EDA, and statistical tests.

Size: 1.32 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

duonggiang64/Factors-affect-Students-Academic-Performance

This study analyzes how parental education, lunch type, and test preparation affect students’ academic performance. Using a quantitative design and a random sample of 100 students, regression analysis in R was applied to evaluate the impact of these factors on overall student achievement.

Language: Jupyter Notebook - Size: 451 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Rustam-Z/machine-learning-stanford

My personal notes on Machine Learning Stanford University course by Andrew Ng.

Language: MATLAB - Size: 69.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 5 - Forks: 2

ShahShelby7/Life-Expectancy-Prediction

Life Expectancy Predictor: Data science project utilizing Random Forest Regression for high-accuracy life expectancy prediction. Achieved $R^2 > 0.95$ and MAE ~ 1.2$ years on a 2,938-entry Kaggle dataset, analyzing 22 health and socio-economic factors.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

abantikabhuti/melbourne-house-price-prediction-app

Language: Python - Size: 1.06 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

ashabakshi/Machine-learning-practice

Machine Learning practice notebooks and projects by Asha Bakshi

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abdur-rahman-riad/Titanic-Data-Processing

A complete Data Analysis and Machine Learning Project built with Python to explore, clean, and predict passenger survival outcomes from the Titanic dataset. The project applies Data preprocessing, Visualization, and Classification Techniques to analyze how passenger characteristics influenced their chances of survival.

Language: Jupyter Notebook - Size: 150 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

rallm/PyTorch-Linear-DNN-Fundamentals

A beginner-friendly project demonstrating the core workflow (data, model, loss, optimization, training) of a deep learning model using PyTorch, applied to the fundamental task of learning a straight line

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muktajoya/Case-Study-Time-Series-Forecasting-German-Electricity-Market-2015-2024-

Developed and compared models to forecast hourly electricity load and prices using over nine years of real-world German market data, spanning linear methods (AR, OLS) and machine learning algorithms (Random Forests, Regression Trees).

Size: 2.76 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 2.75 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 25 - Forks: 3

CristianoDinh/data-career-insights-analysis

A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.

Language: R - Size: 11.3 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 3 - Forks: 0

sblando/bibliometrics-regression

Python-based analysis exploring the relationship between publication output and citation impact in library marketing using Web of Science and linear regression.

Language: Python - Size: 115 KB - Last synced at: 16 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

CryAndRRich/npmod

Building a simple deep learning framework and some machine learning/deep learning models from scratch (pure Numpy and Pytorch)

Language: Python - Size: 447 MB - Last synced at: 28 days ago - Pushed at: 28 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.

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AmirKh777/Data-Science-Yandex-Practicum

My projects from the Yandex Practicum Data Science course.

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paulk-asert/groovy-data-science

Some Data Science examples using Groovy

Language: Groovy - Size: 13.4 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 40 - Forks: 11

yoshiya-usui/TRACMT

Robust transfer function analysis code for magnetotellurics

Language: C++ - Size: 210 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 7 - Forks: 2

leshakamadara/stock-price-prediction

This project successfully demonstrates practical machine learning application in financial prediction, achieving exceptional accuracy while maintaining simplicity. The combination of robust data processing, intelligent feature engineering, and user-friendly application features creates a powerful tool for data-driven investment decisions.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

reenarichard/virtual-diabetes-clinic-triage

MAIO Assignment 3

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paardhavlaveti/Solubility-Prediction-ML

This machine learning project predicts molecular solubility. It trains and compares Linear Regression and Random Forest models on the Delaney dataset, evaluating their performance using R² and MSE metrics to find the most accurate model for the task. 🧪

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seanmcgowanx/student-performance

Predictive modeling of student final grades (G3) using academic, behavioral, and demographic data. Compares linear and ensemble algorithms to identify key predictors of performance.

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aditi-gupta-git/Student-Performance-Predictor

Student Performance Predictor is an end-to-end machine learning project that implements a complete predictive modeling pipeline. It analyzes the impact of demographic, socioeconomic, and academic factors on student mathematics performance, performing data preprocessing, feature engineering, regression modeling (Linear, Ridge, Lasso, Random Forest,

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dayekb/Study

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

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Tamim-Rahman101/CSE4212_Machine_Learning_Lab

Lab works for CSE4212 – Machine Learning Lab

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psychbruce/DPI

🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity for Causal Inference from Observational Data.

Language: R - Size: 9.28 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

rickiepark/the-ml-book

<머신러닝, 핵심만 빠르게!>(인사이트, 2025)의 코드 저장소

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CodeBalch25/Machine-Learning-Tensorflow.js

Interactive machine learning demos with TensorFlow.js featuring linear regression and binary classification with Materialize CSS framework

Language: HTML - Size: 48 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Re-gardt/Machine-Learning-Automation-for-Data-Analysis

Machine learning automation script

Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RK-Riya2201/Employee-Performance-Prediction-Using-Machine-Learning

The Machine Learning Approach for Employee Performance Prediction with a comprehensive system designed to analyze various data points related to employees' work performance and use machine learning algorithms, leveraging ML technology stack, to predict and evaluate their future performance.

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mehrnaz-jiryaie/Mini-Machine-Learning-Projects

This repository contains a collection of small, beginner-friendly machine learning projects built with Python and scikit-learn. Each project demonstrates a different concept or algorithm in a simple and practical way.

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TheMrityunjayPathak/CarPricePrediction

Car Price Prediction

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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: 10 days ago - Pushed at: 3 months ago - Stars: 21 - Forks: 2

bogomil-iliev/gold-price-ml

Gold price forecasting in INR using Multivariate Linear Regression vs Decision Tree (quantile transform). EDA → prep → train → evaluate (scikit-learn).

Language: Python - Size: 1.55 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

cxd/scala-au.id.cxd.math

Libraries containing math related functions in scala. Provides probability distributions and related operations.

Language: Scala - Size: 184 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1

other-jex/Breast-Cancer-Prediction-Using-Machine-Learning

Machine Learning project to predict breast cancer as benign or malignant using the Wisconsin Diagnostic dataset.

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DevMarkson/NaijaEstateAI

NaijaEstateAI is an ML-powered real estate platform for Nigeria that improves pricing accuracy and transparency. It cleans and engineers features from property listings, trains Linear Regression, Random Forest, and XGBoost, evaluates with CV/metrics, and serves the best model through a Streamlit app and FastAPI.

Language: Python - Size: 686 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

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: 24 days ago - Pushed at: 4 months ago - Stars: 30 - Forks: 5

Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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nanxstats/hdnom

🔮 Benchmarking and visualization toolkit for penalized Cox models

Language: R - Size: 30.4 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 45 - Forks: 11

filippob/introduction_to_gwas

https://filippob.github.io/introduction_to_gwas/

Language: Jupyter Notebook - Size: 73.3 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 21 - Forks: 15

zamanmiraz/predict-crypto

Predicting crypto price pattern using AI/ML

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Deepak-Manian/Content-Monetization-Modeler

Content Monetization Modeler predicts YouTube ad revenue from video performance and contextual features using regression models and a Streamlit app for interactive what‑if analysis

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

chen0040/js-regression

Package provides javascript implementation of linear regression and logistic regression

Language: JavaScript - Size: 1.46 MB - Last synced at: 29 days ago - Pushed at: almost 8 years ago - Stars: 31 - Forks: 7

Umar-Saadat/car-price-prediction-ml

🚗 A Machine Learning project that predicts the price of used cars using Linear Regression. Built with Python, Scikit-learn, and Streamlit, this app takes inputs like car brand, year, mileage, engine size, and more to estimate the selling price in real-time

Language: Jupyter Notebook - Size: 371 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

TheodorUtvik/idatg2208_assignment1

Machine Learning Assignment working on a Wine Quality Dataset using Sklearn

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tylermorganwall/skpr

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

Language: R - Size: 43 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 120 - Forks: 15

satyaS567/WeatherDataAnalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Rivu5555/energy-consumption-ml-prediction

A machine learning project predicting building energy consumption using features like temperature, occupancy, and building type. Includes exploratory data analysis, visualization, and regression modeling. Ideal for understanding key factors affecting energy usage in residential, commercial, and industrial buildings.

Language: Jupyter Notebook - Size: 774 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

arjunravi26/Customer-Retention-System

Customer Retention Project

Language: Python - Size: 213 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

megawall212/Matlab-simulation

This is all the code from Computational Linear Algebra at UF (MAS3114) using MATLAB. There are 2 extra credits (a0 and extra credit) and 4 normal assignments (a1 to a4).

Language: MATLAB - Size: 94.7 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Rabby0501/ecommerce-analysis-research

E-commerce Analysis Research Based on Linear Regression

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Umer-Farooq-CS/California-Housing-Regression

Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.

Language: Jupyter Notebook - Size: 6.25 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

GnanaKeerthana/Admission_Prediction

This project predicts a student’s chance of graduate admission using GRE, TOEFL, CGPA, university rating, and research experience. It applies machine learning with data analysis, visualization, and regression modeling to estimate admission probability accurately.

Language: Jupyter Notebook - Size: 787 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

VivekMbhatt/My-ML-Journey

In this repository I am learning ML through Python. The book being used is ML using Python by Manaranjan Pradhan, U Dinesh Kumar. The Df used is all given by the Book.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cedecj042/housing-price

A personal project to apply learnings in linear regression.

Language: Jupyter Notebook - Size: 203 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

doccstat/fastcpd

Fast Change Point Detection in R

Language: C++ - Size: 101 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 25 - Forks: 1

SamuelBarbosaDev/API_Django

Criando uma API para o meu modelo de machine learning.

Language: Python - Size: 190 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

matheusvazdata/irrigation-area-linreg

End-to-end Machine Learning project for irrigation area prediction using Linear Regression, with FastAPI serving for real-time predictions.

Language: Python - Size: 253 KB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Asifdotexe/real-estate-price-prediction

The objective of this project is to apply my knowledge of data science and machine learning to create a house price prediction model in a well documented fashion

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

BumaranChe/Using_Combined-Cycle-Power-Plant-CCPP-dataset-_Perform_Regression_Python

Calculating MSE and RMSE of Combined Cycle Power Plant (CCPP) dataset using Regression

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

namhaivu173/AmesHousingPrice

R Markdown HTML

Language: HTML - Size: 1.25 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

psychbruce/bruceR

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Language: R - Size: 29 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 182 - Forks: 37

Sidra-009/Regression-Models-Comparison

A practical implementation and comparison of Linear Regression, Ridge Regression, and Lasso Regression on the California Housing dataset, with data preprocessing, cross-validation, and performance evaluation.

Language: Jupyter Notebook - Size: 136 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

dishafaujdar/MiniKit

Mini version of scikit learn, to understand different algorithms

Language: Python - Size: 108 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nkr1108/AIMLJourney

My AIML Journey

Language: Jupyter Notebook - Size: 142 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mahirTaj/Life-Expectancy-Prediction

Machine learning project predicting life expectancy using WHO dataset with Linear Regression, Decision Trees, and Neural Networks.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

giuliano-macedo/ait1

Trabalho 1 da disciplina de Inteligência Artificial - UFMS

Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

Imswappy/ads-eda-predictor

Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.

Language: Jupyter Notebook - Size: 329 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

VinayakKGupta/Diagnosis-of-Wisconsin-Breast-Cancer-Dataset-using-Machine-Learning-Techniques

This repo consists of analysis done on breast cancer and LFW datasets using different machine learning techniques.

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Thyoldwizard/ML

This repository hosts my practice projects for machine learning, documenting my learning journey toward becoming an AI Engineer.

Language: Jupyter Notebook - Size: 826 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

lhutt-42/ft_linear_regression 📦

Implementation of a simple linear regression model, as part of the 42 School ft_linear_regression project.

Language: Python - Size: 1.32 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

shakeel-data/amazon-sales-forecasting-python-bigquery-ml

An end-to-end analytics project using Python, SQL, & ML to forecast Amazon sales and segment customers. We build predictive models (LightGBM, Prophet) and clustering (KMeans) to deliver actionable insights for revenue growth and targeted marketing.

Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Manishrajmss13/Regression_project

A predictive machine learning model to forecast the Algerian Forest Fire FWI using Python, Scikit-learn, and Statsmodels. Includes complete data cleaning and EDA.

Language: Jupyter Notebook - Size: 493 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

gator-ryan/Student-Performance-Prediction

Student Performance Machine Learning Model

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Vaibhav/Stock-Analysis

Regression, Scrapers, and Visualization

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 396 - Forks: 103

DebbieGo/SupplyChain_Optimization.github.io

This project is a decision support tool that forecasts shipping profitability and identifies optimization opportunities for a US national candy distributor.

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DebbieGo/HDB-Resale-Price_Prediction.github.io

This project develops a high-accuracy XGBoost machine learning model to predict HDB resale prices in Singapore, identifying the key market drivers to empower real estate agents with data-driven pricing strategies.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SarahiJLeura/Regression-Methods-Time-Series-Analysis

A concise introduction and Python implementation of various regression methods, including: Linear, Polynomial, Fourier, Splines, Kernel, GRNN

Size: 61.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sumitc27/SoM_MonthlyExpense

The "KharchaKitna" is a Monthly Expenses Predictor for IIITDMJ students, based on Linear Regression Model, trained on dataset of around 200 datapoints.

Language: Jupyter Notebook - Size: 883 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RhiteshKS/SMAI-Course-Assignments

All Assignments of the course, Statistical Methods in AI at IIITH, Monsoon 2024

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MiledKalbourji/Library_Project

Machine Learning Library Project

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

josepablodmg/Python--Linear-Regression-Advertising

A linear regression analysis to predict sales based on advertising spending across TV, radio, and newspaper channels. The project includes exploratory data analysis, model training, coefficient visualization, and residual analysis.

Language: Jupyter Notebook - Size: 367 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

josepablodmg/Python--Linear-Regression---Housing-Exercise

A predictive analysis exploring the relationship between household characteristics and median income in California. Using linear regression, the project investigates whether blocks with fewer households correspond to higher median incomes.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

abess-team/abess

Fast Best-Subset Selection Library

Language: C++ - Size: 210 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 487 - Forks: 42

exmnx/STA-HW

Work from various classes

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

manav8826/EduML_Predictor

student performance prediction

Language: Jupyter Notebook - Size: 362 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Grsaiago/linear_rustgression

As the bad title implies, this is a linear regression project in rust

Language: Rust - Size: 22.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

diegoomrqz/Proyects

Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine learning, simulation, and statistics. Each notebook focuses on a key concept, from algorithmic implementation to probabilistic modeling.

Language: Jupyter Notebook - Size: 5.51 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

GorkemCin/Machine_Learning

Supervised Machine Learning projects with Python

Language: Jupyter Notebook - Size: 725 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SammyakSakhare/Closed-Chamber-GHG-Monitoring-System

Closed Chamber GHG Monitoring System | Prof. Prithwiraj Dey | SAAL Lab, IIT Kharagpur [Jul 2024 - Nov 2024]

Language: C++ - Size: 14.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

hatixntsoa/iris.classifier

Simple Beginner Machine Learning Project

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Harddik1611/Food-Delivery-Time-Prediction-App

🍕 Food Delivery Time Predictor AI-powered web app that predicts food delivery times with 82% accuracy This interactive Streamlit application uses machine learning (XGBoost) to provide precise delivery time estimates by analyzing real-time factors like traffic, weather, distance, and delivery personnel performance.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AchrafSL/Predicting-Movie-Rental-Durations-DataCamp

📀 Predicting Movie Rental Durations | Regression project to forecast DVD rental length. Compares Linear, Ridge, Decision Tree & Random Forest models with hyperparameter tuning. Goal: Identify best model & report its actual MSE (suggested target: ≤3).

Language: Jupyter Notebook - Size: 623 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

pushkarguptaaa/Loan-Interest-Analysis-Python

Analysed the Bondora P2P Loans dataset (~383k records, 22 features) to identify key factors influencing loan interest rates.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0