arjkun456/Predicting-Movie-Rental-Durations-DataCamp

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

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ML-mm/Machine-Learning

Projects related to Machine Learning.

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leta199/Linear-Regression

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

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iamsrinivardhan/ML-LinearRegression-Bike-Rental-Case-Study

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Svastikkka/Data-Science-Machine-Learning

Data Science and Machine Learning

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dtoyoda10/crypto-forcast

Cryptocurrency Price Predictor is a webapp that uses machine learning (like Linear Regression or Neural Networks) to forecast crypto prices.

Language: TypeScript - Size: 4.71 MB - Last synced at: about 8 hours ago - Pushed at: about 11 hours ago - Stars: 7 - Forks: 2

astridesaman/used_cars_examen

Machine Learning project to predict used cars prices from Kaggle dataset

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Carl-McBride-Ellis/Compendium-of-free-ML-reading-resources

Compendium of free ML reading resources

Size: 344 KB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 421 - Forks: 97

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: about 20 hours ago - Pushed at: about 22 hours 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.

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Rajesh-Arigala/customer-spending-prediction-LinReg-GD-OLS

Predict customer yearly spending using Linear Regression (Gradient Descent + OLS) — deployed with Streamlit for real-time predictions.

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SoneyBun/Wyatt

Wyatt is an open-source house pricing AI model.

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Aidas-dev/SW-econometrics-exercises

This is repository holds completed empirical exercises from "Introduction to Econometrics, 4th Edition" by Stock and Watson.

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lavishly-deathly/energy-consumption-ml-prediction

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

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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.

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khteh/pAIthon

Python AI, ML, DL and NLP exploration playground.

Language: Python - Size: 1.59 GB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - 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 🐙.

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shahanlezan/Laptop-Price-Predictor

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

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tejbhanp/SalaryAi

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

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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.

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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: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Darksteel047/rainfall-prediction-eda-linear_reg

Exploratory Data Analysis and baseline Linear Regression model for Guwahati daily weather (1972–2025) — rainfall prediction & climate insights.

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danielkaupa/us-coffee-price-prediction

Predictive modeling of U.S. coffee prices using USDA agricultural data (1967–2017). The final decision tree model achieved ~0.79 R² predictive accuracy, demonstrating that coffee price movements can be reliably estimated using the prices of select fruit and tree-nut crops with shared market and climate sensitivities.

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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

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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: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

shubham031194/Machine-Learning

This public GitHub repo provides a comprehensive introduction to machine learning, covering key concepts like supervised and unsupervised learning, and real-world applications. You'll learn to implement algorithms, evaluate models, and work with Python libraries through practical coding.(In Progress)

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bothiyarasu/predicting-IMDb-ratings

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

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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.

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sudhanshu182004/ml-from-scratch

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

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Grimstrrr/Argonz-ML

A light weight machine learning library published on npmjs

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ranegade141/au-health-identifiers

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

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tzpereira/bitcoin-price-forecasting

Forecast Bitcoin prices using a mix of statistical modeling and modern ML — including XGBoost, Linear Regression and SARIMAX — all wrapped in a Streamlit dashboard for rapid experimentation and real-time insights.

Language: Python - Size: 5.99 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - 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

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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! 🛠️🚀

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TUKIiq9/assertive

Assortative extra light sugar for @NodeJS assert.

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nznltn/Python-Final-Project-Wine-Quality-Analysis

This project is based on the final assessment from the UCD - Advanced Center (STAT40800) course. It analyzes Portuguese red and white wine data using Python.

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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.

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Lee-Anne22/Student-Study-Habits--Niche-Market-Research

Capstone project at Zaio Institute of Technology. Project consists of four stages: data cleaning, feature engineering, data visualisation and machine learning model evaluation. The data set given includes the habits tracked across students of varying ages and at various education levels.

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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.

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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: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

erikbatista42/Tiny-LLM

How to create a small LLM built with the transformer architecture in Python.

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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: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

sergiomorapardo/StochasticAITechniquesClass

Material del curso 'Técnicas Estocásticas de IA'. Cubre modelos de predicción, clasificación y procesos estocásticos.

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jananikolovska/LLMinStockPrediction

In this project, I explore the use of Large Language Models (LLMs) for time series forecasting, focusing on the task of stock market prediction.

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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. 🐙📈

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ziaee-mohammad/Car-Price-Prediction

Machine learning project using Auto Scout dataset to predict car prices with Linear, Ridge, and Lasso regression models.

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JyotismoyKalita/JLinearRegression

A lightweight, pure-C machine learning library for Linear Regression

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DataZooDE/anofox-statistics

A comprehensive 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: 312 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

alam025/medical-insurance_cost-prediction

Predict annual medical insurance costs instantly using Machine Learning! This AI system analyzes age, BMI, smoking habits, and demographics to estimate healthcare expenses with 90% accuracy. Built with Linear Regression, featuring 8+ visualizations and comprehensive data analysis.

Language: Python - Size: 47.9 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

MokeyCodes/Soccer-Market-Value-Linear-Regression

Predicting soccer players’ market value using linear regression with performance-based features

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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.

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NeelDhebar/PortugueseRetailSalesPred

Machine learning model for retail sales forecasting using Python. Includes time-based feature engineering (lags, rolling averages, ratios) and multiple regression models (Linear, Polynomial, Ridge) trained with a sequential time-series split for realistic performance evaluation.

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awahib480/AI_Labs

Lab sessions of Artificial Intelligence Lab

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zyna-b/Machine-Learning-Playground

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

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NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

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oleksii-shcherbak/ml-goit

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serghine-abdelillah/MachineLearning-Projects

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mehmoodulhaq570/ML-Models

A repository consisting of implementation of all machine learning models.

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rishal-hurbans/Grokking-Artificial-Intelligence-Algorithms

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Language: Python - Size: 46.9 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 369 - Forks: 121

Debugger-OP/Retail-Sales-analysis-and-Prediction

Interactive Sales Prediction System using Python, Tkinter GUI, SQLite database, and Linear Regression for real-time analytics, visualization, and forecasting for acaademic submission

Language: Python - Size: 12.7 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

zeerkius/Machine-Learning-In-Rust

Models Implemented Soley In Rust

Language: Rust - Size: 25.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ArnavKucheriya/NJIT

Coursework at NJIT

Language: Jupyter Notebook - Size: 418 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

elarsaks/gha_ml_pipeline

End to End Machine Learning System in GitHub Actions

Language: TypeScript - Size: 6.13 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

AymaneAcharki/analyse-marche-bitcoin-correlations

Bitcoin vs marchés traditionnels : corrélations dynamiques et visualisations interactives. M2 — MSc DAB (KEDGE), 2025-2026

Language: HTML - Size: 14.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

umarbasha-ai/medical-cost-estimator

Predict medical insurance charges using regression models on the Medical Cost Personal Dataset. Includes model comparison, evaluation metrics, and visual insights.

Language: Python - Size: 42 KB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

LashawnFofung/MBA-IT-Management-Portfolio

MBA in IT Management Portfolio: Showcasing strategic leadership and data-driven solutions for complex IT projects and product delivery. As a PMP, CSM, CSPO-certified Agile leader , I leverage data analytics (Excel) and Agile methodologies to drive business value.

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ashioyajotham/Daily-ML

My daily ML practices

Language: Jupyter Notebook - Size: 1000 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 5 - Forks: 2

alyssarose05/84_lumber

A supply chain analysis on 84 Lumber's trucks and deliveries in Denton, TX from 2022 to 2025.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

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: 7.85 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 21 - Forks: 5

ostad-ai/Machine-Learning

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

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 17 - Forks: 4

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: 12 days ago - Pushed at: 12 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: 12 days ago - Pushed at: 12 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.

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

dhruvmohan867/stock-predictor

A full-stack web application that fetches real-time stock data, stores it in a PostgreSQL database, and uses machine learning to predict next-day closing prices. Built with FastAPI, React, and scikit-learn

Language: Python - Size: 330 KB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

antonior92/advtrain-linear

Efficient implementation of Adversarial Training for Linear Models

Language: Python - Size: 1.79 MB - Last synced at: 13 days ago - Pushed at: 13 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: 13 days ago - Pushed at: 13 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: 10 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: 13 days ago - Pushed at: 13 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: 14 days ago - Pushed at: 14 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: 14 days ago - Pushed at: 14 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: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

abantikabhuti/melbourne-house-price-prediction-app

Language: Python - Size: 1.06 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ashabakshi/Machine-learning-practice

Machine Learning practice notebooks and projects by Asha Bakshi

Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

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: 15 days ago - Pushed at: 15 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

Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: 10 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

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: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 2.75 MB - Last synced at: 17 days ago - Pushed at: 17 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: 18 days ago - Pushed at: 18 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: 7 days ago - Pushed at: 18 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: 18 days ago - Pushed at: 18 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: 1000 Bytes - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

AmirKh777/Data-Science-Yandex-Practicum

My projects from the Yandex Practicum Data Science course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

paulk-asert/groovy-data-science

Some Data Science examples using Groovy

Language: Groovy - Size: 13.4 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 40 - Forks: 11

yoshiya-usui/TRACMT

Robust transfer function analysis code for magnetotellurics

Language: C++ - Size: 210 MB - Last synced at: 19 days ago - Pushed at: 19 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: 20 days ago - Pushed at: 20 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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