GitHub topics: linearregression

Repositories

prajakta1321/StreetML-A-Cityscape-Traffic-Volume-Prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

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chawthinn/car-price-prediction-regression-ml

This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.

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mri177/Vehicle-Curb-Weight-Prediction-using-Linear-Regressionon-Model

DS-M2

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TaniyaGoyat/Laptop_Price_Predictor

Predict laptop prices using ML algorithms like Random Forest, with an interactive Streamlit web app.

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Abishek74/Simple-Linear-Regression

Implementation of Linear Regression using Python

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CamilaJaviera91/pyspark-first-approach

This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.

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farshad257/Regrassion_Income_Forcasting

A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.

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AlbaraSabbagh/Simple-Linear-Regression-Cost-Function-Analysis

Cost Function Analysis

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rutujakokate430/Testing-Linear-Regression-Assumptions

Testing Linear regression assumptions

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coding-ai/machine_learning_cpp

Machine Learning C++

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SudipBishwakarma/MSc-Dissertation-2021

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

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Singhananddev/ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

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misrapk/AlgerianForestFire_Project

A simple linear regression project

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suguru-n/Temp_easyAI

学部生向け機械学習体験プログラム

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okayushi/Prediction-with-Regression

discusses building simple linear regression models to predict delivery time using sorting time and to predict salary using years of experience.

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PMabwa/airbnb-recommender-system

Machine learning model to predict Airbnb property prices in Cape Town based on features like property type, neighbourhood, and amenities. Includes data cleaning, feature engineering, modelling and performance evaluation.

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Himanshu-srihsk/Gradient_descent_optimization-on-Boston-dataset

performed gradient descent on Linear Regression and optimized the result of boston data using gradient descent data

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syamkakarla98/Linear-Regression

Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.

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harmanveer-2546/Mental-Health-EDA-Prediction-

Mental health includes our emotional, psychological, and social well-being. It affects how we think, feel, and act. It also helps determine how we handle stress, relate to others, and make healthy choices. Mental health is important at every stage of life, from childhood and adolescence through adulthood.

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harmanveer-2546/Ad-Click-Prediction-Analysis-and-Insights

To predict whether a user will click on ad or not.

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MarwaBrian/football_matches

Linear Regression Project to predict the total goals to be scored in a match

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akshita5458/Car_Price_Prediction

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JyotiRPanda/Linear-Regression-Bike-Sharing-Assignment

Linear Regression Bike Sharing Assignment

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LucasFeliciano02/predict-pizza-price-ml

Modelo de regressão linear aplicado com machine learning para prever o preço da pizza com base no diâmetro inserido pelo usuário

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michaellaephillips/THzProject

Modeling absorbance and concentration

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harmanveer-2546/Predicting-Schizophrenia-Disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

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nataliabeltranarg/TimeSeriesForecasting-GlovoOrders

Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.

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harmanveer-2546/Mystery-Planet

Exoplanet Hunting in Deep Space.

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iam-aishwaryajoy/Vehicle-Routing-Problem

This project aims to solve the Vehicle Routing Problem (VRP) by addressing missing data using linear regression and predicting the time required for particular orders. Additionally, it predicts the optimal set of routes for a fleet of vehicles to traverse to deliver to a given set of customers efficiently.

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isi-mube/patent-pending

To predict selling house prices based on historical data for Ironhack's mid-bootcamp project. Also, Linear Regression practice.

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harmanveer-2546/Finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

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umarshahzadumar91/diamond-price-pred

Predicting diamond prices helps buyers and sellers make informed decisions by understanding market trends and potential future values.

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1pani/Stock-prices-prediction-of-Google-LLC

Stock prediction model with data imported from quandl

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hamzagulshad/Regression

Regression is a statistical method used to analyze the relationship between one or more independent variables (often referred to as predictors, features, or input variables) and a dependent variable (often referred to as the target, response, or output variable). Scaling is the process of transforming data so that it falls within a specific range.

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urvishp80/Predicting-House-Prices-With-Regression

Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.

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Foram224/Solar_generation

Predict solar generation data

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yash-gajjjar/Car-Price-Predication-ML

Used Linear Regression and Random Forest algorithms to predict car price

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VaibhavGaur05/StockMarketML

This repository contains our project on Stock Market Price prediction Using Historical Data

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Hhhpraise/Student-Performance-Linear-Regression

This GitHub repository contains code for a student performance prediction model utilizing linear regression. The model is built using relevant student data features and implements one-hot encoding for categorical variables. The repository includes data preprocessing, model training, evaluation, and prediction visualization using matplotlib.

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OmerGamie/mlproject

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

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Athari22/House_Sales_in_King_Count_USA

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

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2003vivek/REAL-ESTATE-PREDICTOR

This is a model that predicts the property prices based on the fed data.

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rajiv8/CO2-Emission-Prediction

This is Flask integrated Machine Learning model which uses Linear Regression to Predict the CO2 Emission of Vehicle

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arjun37602/NBA_Prediction

Predicts future NBA MVP with 97% accuracy when given a dataset with avg season assists, steals, blocks, freethrows, etc.

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akikelena/ML_HarmfulParticles

Machine learning project for the purpose of pattern recognition university course.

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Adityasangle/CognitiveAI-ML

This Repository contains cognitiveai class's all practice labs.

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huseyincenik/auto_analytics_advanced_estimation_and_deployment

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Gozde13/Machine-Learning-for-Data-Science

This repo includes machine learning algorithms. I have used them with different datasets

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vishalsurya/CS171-_-Intro-to-ML-and-Data-Mining

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ehurturk/Linear-Regression

A simple Linear Regression project from scratch in Python 3.

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pranjalgup/weather-analysis-

This github file contains a regression analysis of weather data. It provides insights into how temperature, humidity, and atmospheric pressure can affect the weather. It also provides predictions based on the data collected.

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aliiyevali/IMDB-Movie-Exploration-Project

Name: IMDB Movie Exploration Project. Includes: Web Scraping ,Data Cleaning , Processing , Visualizing , Descriptive Statistics , Inferential Statistics , Machine Learning(Predictive Statistics). Used Softwares/Languages/Libraries: MySQL,Tableau,Pandas,Numpy,BeautifulSoup,SciPy,Statsmodels,Scikit-learn & so on.

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huseyincenik/machine_learning

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MLearing/Machine-Learning

Some simple machine learning algorithm

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Niranjankumar-c/OverFitting

Analyse OverFitting of data

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dhan0110/PizzaSales

Capstone Project - IIT Palakkad Applied Data Science Program

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Ayoub-etoullali/Spark-MLlib-NTT-DATA

This GitHub repository contains code for predicting the country destination of new Airbnb users using machine learning techniques on the "Airbnb New User Bookings" dataset from a Kaggle competition.

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Jayasuryan0821-git/Machine-Learning

Practice on ML Specialization by Deeplearning.ai

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FirstNet-Systems-UK/HR-Promotion-Classification

"Predict and enhance employee promotions through data-driven insights and a predictive model in the 'HR Classification for Promotion' project."

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lspope/dsc-phase-2-project-online Fork of learn-co-curriculum/dsc-phase-2-project-online

Multiple Linear Regression Modeling for King County Home Prices

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5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

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JustinBenito/MathsandMachines

Machine learning Algorithms but the implementations done by me and no external libraries used

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LuisAnibalVasquez/Wild-Blueberry-Yield-Prediction

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alasdairgm/boardgame_analysis

An analysis project on the data from my boardgame collection

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rahulg-101/Ads-Click-Through-Rate

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

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shalakasaraogi/census-income-project

Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.

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razhakhan/Predicting-T20-Cricket-Scores-using-Machine-Learning-An-Evaluation-of-Six-Different-Algorithms

Score prediction in T20 cricket is based on CRR which is mostly inaccurate. This Machine Learning project considers various factors that can impact the score prediction and utilizes the available previous matches data to achieve a more accurate prediction. We have evaluated 6 different algorithms and found out that CatBoost gives the best results.

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darsh-008/Resignation-Predictor

The main goal of this project is to accurately predict that the employee will resign or not based on predefined criteria. Various implementations and learning methods are used in this project to increase the efficiency of predicting that any employee will apply for resignation. A web-app is also made to facilitate the execution of the project. The app provides users with Four different options of Machine Learning Algorithms to choose from. The results obtained from the web-app will be used by the management to understand what changes they should make to their workplace to get most of their employees to stay.

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somanathkshirsagar/-LeastSquare

LeastSquare is a web application developed with the objective of predicting the price of used cars. The project follows the life cycle of a data science project and incorporates various tools and techniques such as machine learning, regression analysis, linear regression, polynomial regression, Lasso regression, Ridge regression, and Streamlit.

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