linearregression
There are 175 repositories under linearregression topic.
coding-ai/machine_learning_cpp
Machine Learning C++
SudipBishwakarma/MSc-Dissertation-2021
Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
FeezyHendrix/LinearRegressionfromscrath
Linear Regression From Scratch
MHassaanButt/Antenna-design-using-ML
In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.
DickyChengg/Stock-Market-Forecaster
Stock Market Forecasting with CoreML in Swift
syamkakarla98/Linear-Regression
Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.
AlvinMark/PGDDS-IIIT-Bangalore
A set of projects I worked on as part of my PG Diploma in Data Science Program
VaibhavGaur05/StockMarketML
This repository contains our project on Stock Market Price prediction Using Historical Data
MahsaShk/ApacheSpark
Apache Spark machine learning project using pyspark
mukulsinghal001/USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
RohitRathore1/Repo-2020
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. And an intent classifier which can classifies a query into one of the 21 given intents.
1pani/Stock-prices-prediction-of-Google-LLC
Stock prediction model with data imported from quandl
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.
jhagelback/ez_statistics
Easy statistical testing on the web
nipunmohindra/Dummy-variables
Dummy variables can be really helpful while creating multiple linear regression models.
aghezzafmohamed/Data-traffic-prediction
Forcasting the volume of DATA 2G, 3G and 4G stream
beetrandahiya/Titanic-Survival-Prediction
This was my first step into machine learning, Its not new, I am just uploading it on Github now. Its a llinear regression model
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.
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.
nipunmohindra/linear-regression
Few linear regression models developed by me.
Prathamesh-Rathi/Medical-Insurance-Cost-Prediction
Medical Insurance Cost Prediction
rajiv8/CO2-Emission-Prediction
This is Flask integrated Machine Learning model which uses Linear Regression to Predict the CO2 Emission of Vehicle
rochitasundar/Regression-dynamic-price-prediction-ReCell
The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.
SevdanurGENC/Machine-Learning-Lecture-Notes
Machine Learning Lecture Notes
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.
yadhuphilip/kodekochikode-sudo-solve
project by team sudo-solve in kodekochikode hackathon
crazymidoo/sea-level-predictor
A Python project that reads historical sea level data, creates scatter plots, and fits regression lines to visualize past trends and predict future sea level rise up to 2050.
Ehtisham33/PredictingPrices_usingLinearRegression
This repository demonstrates how to use linear regression to predict prices based on sizes. Using the tips.csv dataset, it predicts the total bill from the size of the party. The project includes data preprocessing, model training, and evaluation steps.
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.
gowtham611/Real-estate-price-prediction
Real estate price prediction is a machine learning problem that involves estimating property prices based on various factors such as location, size, number of rooms, amenities, and market trends. Regression algorithms are commonly used for this task, as they help establish relationships between these features and property prices.
kushu30/EcomLinearRegression
In this project, I have examined customer behavior patterns to identify key factors driving annual spending. Statistical modeling revealed that customer retention (measured by length of membership) is the most significant predictor of revenue, with substantially greater impact than website engagement metrics. The project is based on R.
SheemaMasood381/Oasis-Infobyte_Internship-October-2024
Oasis Infobyte October 2024 Internship projects: IRIS Flower Classification, Car Price Estimator, and Sales Prediction Analysis using Python, machine learning, and Flask web apps.
SURESHBEEKHANI/Machine-Learning-Algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.