GitHub topics: polynomial-regression

Repositories

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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DrStef/Machine_Learning_with_Python-IBM

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 390 - Forks: 195

TempeHS/Machine_Learning_OOP_Implementation_Examples

A Jupyter Notebook collection designed to support students implement Programming for automation in the NESA Software Engineering Syllabus specifically using an OOP to make predictions.

Size: 4.33 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 5 - Forks: 34

iseake/kelas-pembelajaran-mesin

Kelas Pembelajaran Mesin untuk Prodi TI UNISBA Blitar. Temukan materi dan proyek menarik di sini! 🚀📚

Language: Python - Size: 46.9 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

MidoHossam14/MachineLearningAlgorithms

Hands on machine learning algorithms with scikit-learn , tensorflow and keras.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

ZeeBunny98/Linear-and-Polynomial-Regression-Models

This an attempt at using Linear, Polynomial, and Multiple Regression to attempt to determine the relationship between the speed and distance of a car.

Language: Python - Size: 1.95 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

DelphinKdl/home_price_prediction_using_regularized_polynomial_regression

Housing price prediction using regularized polynomial regression

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

svn-code/used-car-price-predictor

A machine learning-based web app to predict the price of used cars in India based on various features like brand, model, location, fuel type, and more. Built with Streamlit for an interactive user interface and powered by an XGBoost (multiple-non-linear-regression) model for accurate predictions.

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

susieM123/Regression

Python implementation of linear and polynomial regression analysis on CSV datasets using NumPy, Matplotlib, and SciPy.

Language: Jupyter Notebook - Size: 777 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AadityaArunSingh/Regression-and-Classification-Analysis-with-Scikit-learn

This project explores regression and classification using Python. Linear and polynomial regression (degrees 2 & 3) were applied to model stopping distance vs speed, showing increasing accuracy with model complexity. A logistic regression model was used for breast cancer classification, emphasizing recall for malignant detection.

Language: Jupyter Notebook - Size: 785 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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free-to-learn/Machine-Learning-Concepts

Machine Learning Concepts with Concepts

Language: Jupyter Notebook - Size: 45.9 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 170 - Forks: 74

agrawal-priyank/machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 70

Aayush-Basnet/Data-Analysis-with-Python

Data analysis with Python to building and evaluating data models

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SKT1803/black-friday-sales-prediction

Supervised Machine Learning Regression – Black Friday Sales Predictions

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sagarkhese40/position_salary_prj

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anikchand461/SalaryAi

SalaryAi is a machine learning-powered web application that predicts employee salaries based on input features like age, gender, education level, job title, and years of experience. Built with FastAPI, it includes a sleek frontend interface and uses U.S. salary data for predictions.

Language: Jupyter Notebook - Size: 439 KB - Last synced at: 30 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

0xMrMasry/Weather-Data-Regression-Analysis-Project

This project applies and compares 3 different regression algorithms on a Weather History dataset to predict temperature values. It demonstrates how different regression techniques perform on the same dataset, with visualizations to aid in understanding model behavior and performance.

Language: Python - Size: 2.19 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

busradeveci/DS-Salary-PolyRegression

Predicting Data Science salaries using Polynomial Regression with Python. A simple machine learning model that demonstrates non-linear regression using experience-salary data.

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marveng6/car-vibes-eda-88-97-

This project explores car data and improves a model's accuracy from 88% to 97%. The goal is to see how tweaks affect performance and uncover patterns that help boost accuracy.

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DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

Language: Jupyter Notebook - Size: 200 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

WasabiThumb/polyfit

C11/C++ library for least-squares polynomial regression

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MoMo790-m/car-vibes-eda-88-97-

This project explores car data and improves a model's accuracy from 88% to 97%. The goal is to see how tweaks affect performance and uncover patterns that help boost accuracy.

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Moez-lab/linear-regression-for-understanding

This repository contains basic implementations of popular machine learning algorithms, focused on understanding the inner workings of regression and classification techniques. It's designed as a learning resource to help beginners grasp the core concepts behind each model.

Language: Python - Size: 637 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 223 - Forks: 62

venkideshVenu/S5-KTU-Python-and-Machine-Learining-Lab

Repository for the S5 Python and Machine Learning (2019 Scheme) at Kerala Technological University (KTU) designed to strengthen foundational skills in data analysis and machine learning

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

nurulashraf/comparative-regression-fish-dataset

This analysis compares multiple linear regression and polynomial regression models using fish measurement data. It evaluates prediction accuracy through MSE, RMSE, R², and Adjusted R², and tests model performance on newly generated dummy data.

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prayas7102/Kaggle-Competition-Solutions

This repository features my Kaggle projects, highlighting advanced techniques in data preprocessing, feature engineering, model selection, and optimization across various competitions.

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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:

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 332 - Forks: 168

ietimfon/Advertising-Sales-Prediction

In this project, I trained a machine learning model to make sales prediction based on amount spent on TV, radio, and newspaper advertisement.

Language: Jupyter Notebook - Size: 719 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Hidayattt24/Kelompok_09_Tugas02_Linear_Regression

Proyek ini merupakan bagian dari Tugas 2 dalam mata kuliah Pembelajaran Mesin Kelas A. Kami melakukan eksplorasi dan implementasi model regresi untuk memahami hubungan antara variabel dalam dataset e-commerce.

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DevWaqarAhmad/Polynomial_Regression

This repository explores Polynomial Regression for modeling non-linear relationships.

Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

Language: Python - Size: 125 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

NeuralAditya/Polynomial_Regression_C

A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.

Language: C - Size: 344 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

dschmitz89/Polyfit

Scikit learn compatible constrained and robust polynomial regression in Python

Language: Python - Size: 361 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 10 - Forks: 6

deptraiquataiai/Learning-Python

This repo is a comprehensive learning path for Python that covers everything from getting started and basic syntax to advanced topics like data analysis, automation, and introductory machine learning.

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1adityakadam/Weather-History-Data-Analysis-and-Predictive-Modeling

The Weather-History-Data-Analysis-and-Predictive-Modeling project predicts weather patterns using regression models and correlation analysis, visualizes relationships, & uses K-Fold cross-validation to enhance model robustness

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

techshot25/HealthCare

Insurance cost predictor

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

elcorto/pwtools

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

Language: Python - Size: 21.9 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 66 - Forks: 15

bgr8/Makine-ogrenmesi

Machine Learning with Python

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1

drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

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Ashish-AI-ML/polynomial-regression

Polynomial-Regression in Python With Advertising Dataset

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fazeelibtesam/Brain_Tumor

Classification of Brain Tumor

Language: Jupyter Notebook - Size: 577 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

manishkolla/Zillow-Home-Value-Prediction

To address the impact of rising house prices on the economy, we built a machine learning model resistant to market trends. We experimented with Random Forest and Linear Regression models, employing sophisticated imputation methods like median state price replacement, KNN imputation, and forward/backward filling to minimize errors.

Language: Jupyter Notebook - Size: 9.29 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

mehtadigisha/Medical-Insurance-Cost-with-Linear-Regression

Machine Learning for predict the charges

Language: Jupyter Notebook - Size: 511 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Kisaa-Fatima/Bitcoin-Daily-Price-Forecasting-Using-Time-Series-Analysis

This project involves exploring, building, and evaluating different time series forecasting models to predict the daily closing prices of Bitcoin. The models compared include Linear Regression, Polynomial Regression, and ARIMA.

Language: Jupyter Notebook - Size: 592 KB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

bernardjezua/QSPS

QSPS: Quadratic Spline and Polynomial Solver - R Shiny App

Language: R - Size: 740 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

charan-akula/Rank-prediction-of-a-PUC-students-RGUKT-RKV-based-on-their-CGPA

It is a Machine Learning it predicts the Ranks of a PUC students who are studying in the RGUKT RKV , based on their CGPA in this model initially i used linear regression , to predict the Ranks but later based on the data visualization i realised to used polynomial Regression to get more accuracy , so this model uses polynomial regression algorithm

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yaniv-shulman/rsklpr

Robust locally weighted multiple regression in Python

Language: Python - Size: 60.4 MB - Last synced at: 26 days ago - Pushed at: 6 months ago - Stars: 8 - Forks: 0

rooshmica/Concrete-Compressive-Strength-Prediction

Concrete Dataset for Regression Model training

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nurulashraf/polynomial-regression-manufacturing

A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.

Language: Jupyter Notebook - Size: 723 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

knetic0/concrete-compressive-strength-predictor

🔥 Concrete Compressive Strength Predictor - using KNNR & PR Algorithms.

Language: Jupyter Notebook - Size: 903 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

steq28/polynomial-regression

Polynomial Regression with Gradient Descent using PyTorch. This repo includes functions for plotting polynomials, generating noisy datasets, and training a linear regression model. Features visualizations for loss tracking and coefficient comparison.

Language: Python - Size: 1.08 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AtlasICL/ML_fundamentals

Fundamentals of Machine Learning

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

ZakirCodeArchitect/Model-Capacity-in-Regression-Analysis

This project examines how model complexity and training size impact prediction stability in polynomial regression. By analyzing models of degrees 1 to 4 with confidence intervals, we gain insights into balancing overfitting and underfitting for optimal model selection.

Language: Jupyter Notebook - Size: 611 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

johnkou97/NumericalRecipes

Language: Python - Size: 58.9 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

msikorski93/Linear-Regression-From-Scratch

Different solutions of linear and polynomial regression made from scratch.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hrudaych1099/ML-Library

Machine Learning Library

Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maxgubitosi/ML-Regression-Models-from-Scratch

Second practical assignment for the course "I302 - ML and Deep Learning". The work consists of three regression problems where different models are designed from scratch.

Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

martn2023/training-regression-models

Introducing 4 regression models, and how to optimize via Gradient Descent

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

paescebu/PolynomialRegressionSwift Fork of KingIsulgard/iOS-Polynomial-Regression

Swift function for calculation of the polynomial regression (least squares fitting) of a given set of points.

Language: Swift - Size: 271 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 3

mnpsnuwan/ml-all-in-one

A collection of machine learning is using python.

Language: Python - Size: 6.8 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

alphacrypto246/Stock-Price-Movement-Prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Udacity-MachineLearning-Internship/Polynomial-Regression

Implementing polynomial regression using sckit-learn

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yashmittalz/HR-s-Salary-Calculation

A machine learning project that uses polynomial regression to predict employee salaries based on experience levels, improving accuracy for non-linear salary structures.

Language: Python - Size: 3.91 KB - Last synced at: 26 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

HarshNevse/RMSE-Based-Assessment-of-Model-Complexity-and-Overfitting-in-Polynomial-Regression-Frameworks

RMSE-Based Assessment of Model Complexity and Overfitting in Polynomial Regression Frameworks

Language: Jupyter Notebook - Size: 103 KB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Tashhfia/Polynomial-Regression-and-Classification

Modeling and visualizing linear regression and polynomial regression

Language: Jupyter Notebook - Size: 268 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

deliprofesor/Health-Score-Prediction-Model-The-Impact-of-Lifestyle-and-Demographic-Factors

A machine learning project predicting health scores based on lifestyle and demographic factors like age, BMI, diet, and exercise. Techniques include Random Forest, Polynomial Regression, and Linear Regression, with a focus on model performance and actionable health insights.

Language: R - Size: 390 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

palVikram/Machine-Learning-using-Python

Regression, Classification and Clustering

Language: Python - Size: 223 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 19 - Forks: 19

AnilKumarTeegala/Machine-Learning-Using-Python

This repo contains the files created for machine learning using python

Language: Jupyter Notebook - Size: 69.2 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 6

KolbeWilliams/Python-Linear-Regression-and-Polynomial-Curve-Fitting

This project consists of 2 python programs. One allows the user to input a set of data points, and the range of slopes and intercepts they want to test. The program finds the optimal regression line by calculating the error of each slope, intercept combination. The second program performs polynomial curve fitting on user provided data points.

Language: Python - Size: 1.24 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

tk-yoshimura/MultiPrecisionCurveFitting

MultiPrecision Curve Fitting - linear, polynomial, pade, arbitrary function

Language: C# - Size: 90.8 KB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

salvatorecorvaglia/high-performance-computing

Cache dimension estimation, Roofline, Univariate & Multivariate Linear Regression, Polynomial Regression, Regularized Polynomial Regression and Ophidia

Language: TeX - Size: 5.64 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

jcsaputra/Comparative-Performance-of-Regression-Models-for-Avocado-Sales-Forecasting-machine-learning-python

Evaluation and comparison of Random Forest, Multiple Linear, and Polynomial regression models for predicting avocado sales volume in the USA, focusing on accuracy and model performance using historical sales data.

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Beliavsky/STARPAC

Standards Time Series and Regression Package, a library of Fortran subroutines for statistical data analysis developed by the Statistical Engineering Division of the National Institute of Standards and Technology

Language: Fortran - Size: 1.1 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

daniel-j-anderson-dev/matrix_operations

A simple heap matrix library that supports polynomial regression

Language: Rust - Size: 77.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

mostafaelhoushi/FOS

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

Language: MATLAB - Size: 2.35 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 14 - Forks: 2

EbadShabbir/Bluff-Detection-Model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

Language: Jupyter Notebook - Size: 109 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

shaadclt/Height-Prediction-PolynomialRegression

This project involves predicting height based on age using polynomial regression in Jupyter Notebook. Polynomial regression is a variation of linear regression that models the relationship between the independent variable (age) and the dependent variable (height) as an nth-degree polynomial.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

abdulrahmanaymann/Data-Mining

data mining project involving two tasks: a regression problem and a classification problem.

Language: Jupyter Notebook - Size: 876 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jbboehr/PolynomialRegression.php

Calculates and returns coefficients for polynomial regression. (composer package)

Language: PHP - Size: 71.3 KB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 22 - Forks: 9

satyam9090/Machine-Learning

CSE4020: Machine Learning, Linear Regression, Multiple Linear Regression, Diff between Linear and Polynomial Regression, Classification - Decision Tree, Classification - K-Nearest Neighbours.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

invictusaman/Insurance-Cost-Analysis-Regression

Showcasing Simple Linear, Multiple Linear, Polynomial and Ridge Regression on Insurance Cost Dataset to predict insurance price. Also, I have generated a report using Quarto.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

krishcy25/Building-several-Regression-MachineLearning-Algorithms-for-ContinuousOutcomePrediction

This repository focuses on building several Regression Models-Linear Regression, XGBoost Regressor, Ridge Regression, Lasso Regression, Polynomial Regression that predicts the continuous outcome (House Prices) along with several Data Preparation Techniques (Transformations/Scaling, Imputation, Filtering of Outliers, Handling of correlated features, One Hot Encoding)

Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

DeepraMazumder/Bike-Sharing-Count-Prediction

A Machine Learning project to predict bike-sharing counts using regression models, including linear, polynomial, and regularized techniques

Language: Jupyter Notebook - Size: 692 KB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Scikit-Learn

Machine Learning Library for Predictive Data Analysis using Python

Language: Jupyter Notebook - Size: 815 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

MahmoudNamNam/NYC_Taxi_Trip_Duration_Predection

The project aims to predict NYC taxi trip durations using advanced regression techniques. We utilized Polynomial Linear Regression, Ridge Regression, and Lasso Regression for feature extraction and achieved a validation R² score of 0.67. Feature engineering included KMeans clustering, Haversine distance calculation, and date-time feature extraction

Language: Jupyter Notebook - Size: 20 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

vn33/Linear-Regression-Polynomial-Regression-Regularization-Assumptions

In this project, we implement a linear regression model and its extensions on a student grades dataset to enhance performance. The workflow includes advanced EDA, data preprocessing, and assumption checks. Key steps: dataset overview, univariate and bivariate analysis, data preprocessing, model building(2nd degree,l1,l2,EN) and result visualization

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

bkataru/physics-E.E

Project repository for IB physics extended essay. Topic: Predictive data modeling of a variable binary star’s brightness over a period of time using astrostatistics.

Language: Python - Size: 893 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

prayas7102/ML-Algorithms-Implementation

A comprehensive collection of ML algorithm implementations in Python, covering data preprocessing, statistical analysis, and various models. Utilizes scikit-learn, pandas, and matplotlib for practical demonstrations.

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

qtle3/polynomial-regression

This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.

Language: Python - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0