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Projects in Awesome Lists tagged with regression-algorithms

A curated list of projects in awesome lists tagged with regression-algorithms .

https://github.com/codophobia/cricketscorepredictor

Using machine learning algorithms to predict first innings score in limited overs cricket matches

cricket-prediction machine-learning python regression-algorithms

Last synced: 14 May 2025

https://github.com/ikosmidis/brglm2

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

adjusted-score-equations algorithms bias-reducing-adjustments bias-reduction estimation glm logistic-regression nominal-responses ordinal-responses r regression regression-algorithms rstats statistics

Last synced: 24 Jun 2025

https://github.com/lucko515/regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

machine-learning machine-learning-algorithms regression regression-algorithms regression-models

Last synced: 14 Apr 2025

https://github.com/imharshag/fake-news-detection-using-ml

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

classification-algorithm confusion-matrix css decision-trees django html logistic-regression machine-learning randomforest regression-algorithms supervised-learning

Last synced: 23 Apr 2025

https://github.com/jespb/python-stdgp

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

binary-classification classification evolutionary-algorithms evolutionary-computation genetic-programming machine-learning regression-algorithms regression-models regression-trees

Last synced: 28 Aug 2025

https://github.com/hamid-rezaei/data-mining

This repository contains code and solutions for the Data Mining project, which applies various techniques and methods to different datasets. The project covers data preprocessing, dimensionality reduction, regression, classification, and association rule mining.

association-rule-mining classification-algorithm clustering-algorithm numpy pandas regression-algorithms sckiit-learn

Last synced: 14 Jun 2025

https://github.com/shridhar1504/sales-forecasting-datascience-project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

data-analytics data-cleaning data-science data-testing data-visualization forecasting-models machin model-evaluation model-fitting prediction predictive-modeling python3 regression-algorithms salesforecast sklearn-library supervised-learning

Last synced: 30 Oct 2025

https://github.com/subhangisati/machine-learning

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

artificial-intelligence classification data-science decision-trees knn-classification knn-model linear-regression logistic-regression machine-learning machine-learning-algorithms python regression-algorithms regression-models scikit-learn-python scikitlearn-machine-learning svm-classifier

Last synced: 21 Feb 2025

https://github.com/shridhar1504/boston-house-price-prediction-datascience-project

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

boston data-science house-price-prediction machine-learning regression-algorithms regression-models scikit-learn supervised-learning

Last synced: 09 Apr 2025

https://github.com/abhijit2505/data-science

This repository containts the projects that I have done along With my Data Science MOOCs from Coursera.

data-science kaggle-dataset logistic-regression-algorithm practice-codes regression-algorithms

Last synced: 19 Jun 2025

https://github.com/shridhar1504/price-prediction-for-used-cars-datascience-project

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

adaboost-algorithm data-science kaggle-dataset machine-learning price-prediction regression regression-algorithms supervised-learning used-cars-price-prediction

Last synced: 24 Aug 2025

https://github.com/fitushar/image_pixel_recovery_with_lesso_regression

The objective of this mini-project is to Recover a full image from a small number of sampled pixels (compressed sensing). Although the primary goal of this project is to understand and explore the application of regularized. In the process of recovering image pixel using regularized regression, we will explore different concepts and their understanding as following: Understanding how regression can be applied in 2D image analysis domain. Understanding of the discrete cosine transforms (DCT) to define an image in a frequency domain. Explore the importance and application of cross validation in model tunning and hyper-parameter selections. Understanding the impact of applying filtering approach such as median filter on reconstructed image Finally, quantitively evaluating the quality of removed image.

comprssed-sensing image machine-learning optimization pixel-recovery regression-algorithms regression-analysis

Last synced: 15 Jun 2025

https://github.com/radhikareddy-chintareddy/predictive-churn-modeling-machine-learning-for-customer-retention

This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tuned using hyperparameter optimization and tackled data imbalance with SMOTE, achieving high F1-scores to drive targeted business strategies.

ensamble-methods feature-selection hyperparameter-tuning machine-learning-algorithms python regression-algorithms smote-sampling

Last synced: 26 Mar 2025

https://github.com/raging-coder/oibsip

In this repository, I have implemented Email Spam detection, Iris Flower Classification and Unemployment Analysis using Python using Machine Learning Algorithms where the expected proficiency percentage was ranging from 60-80%.

classification jupyter-notebook machine-learning python-3 regression-algorithms

Last synced: 09 Sep 2025

https://github.com/g2martins/eleicoessp-2024-ia

Repositório criado para armazenar o projeto de previsão eleitoral de 2024, utilizando regressão logística multinomial. O modelo foi desenvolvido para prever a intenção de voto dos eleitores com base em características como idade, renda, escolaridade, região e gênero. Explorando dados fictícios, o projeto compara candidatos de diferentes espectros

ia machine-learning machine-learning-algorithms python regression-algorithms

Last synced: 10 Sep 2025

https://github.com/sukhmancs/textwizards

This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

char-rnn chat-bot-nltk classification data-visualization encoder-decoder-attention gpt gradient-descent math-question-solver n-gram-language-models naive-bayes-classifier nlp patient-survival-analysis regression-algorithms sentiment-analysis smallgpt spell-checker titanic-dataset translation trax word-embeddings

Last synced: 05 Nov 2025

https://github.com/bydmiller/textwizards

This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

char-rnn chat-bot-nltk classification data-visualization encoder-decoder-attention gpt gradient-descent math-question-solver n-gram-language-models naive-bayes-classifier nlp patient-survival-analysis regression-algorithms sentiment-analysis smallgpt spell-checker titanic-dataset translation trax word-embeddings

Last synced: 30 Jul 2025

https://github.com/anantsimran/kaggle-zestimate

Use this code for the kaggle competiton: https://www.kaggle.com/c/zillow-prize-1

python3 regression-algorithms regression-models

Last synced: 30 Aug 2025

https://github.com/dmavani25/discopula

Discrete checkerboard copula modeling and implementation of new scoring methods pertaining to ordinal and categorical discrete data.

checkerboard-copula copula-models discrete-modeling regression-algorithms statistics

Last synced: 15 May 2025

https://github.com/datarohit/tps-january-2022--kaggle-competition

Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.

kaggle-competition matplotlib numpy pandas regression-algorithms seaborn

Last synced: 09 Apr 2025

https://github.com/kelvinleandro/manim-animations

Animations exploring various concepts in computer science, with a special focus on machine learning and statistics

classification-algorithm clustering-algorithm computer-science machine-learning machine-learning-algorithms manim manim-3b1b manim-animations python python3 regression-algorithms statistics

Last synced: 16 Oct 2025

https://github.com/kush1912/neural-networks

This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.

bpnetwork classification-algorithm keras-tensorflow kmeans-algorithm neural-network perception regression-algorithms svm

Last synced: 12 Sep 2025

https://github.com/mike014/streamlit_ml_web-apps

A series of apps developed with the streamlit framework that leverage ML algorithms.

ai ml regression-algorithms streamlit

Last synced: 02 Sep 2025

https://github.com/hoyirul/klasifikasi-regresi-volunteer

Pemilihan data training dan data testing, dengan dilengkapi fitur menerapkan fitur klasifikasi dan regresi, Confusion Matrix dan ROC berdasarkan klasifikasi yang diterapkan dan visualisasi

dataset jupiter-notebook python3 regression-algorithms

Last synced: 09 Oct 2025

https://github.com/hoyirul/bbca-bbri-stock-predictions

prediction of the rise and fall of BBCA and BBRI stocks using the naive Bayes and regression methods by utilizing datasets from BBCA and BBRI

dataset naive-bayes-classifier predictions regression-algorithms

Last synced: 04 Aug 2025

https://github.com/erenelagz/amazon-price-prediction-machine_learning

Future Price Prediction for Amazon Stocks usign Python and Polyninomal Reggression and Lineer Reggression

machine-learning-algorithms python regression-algorithms stock-market

Last synced: 16 Nov 2025

https://github.com/hoyirul/regression-python

Analisis regresi dalam statistika adalah salah satu metode untuk menentukan hubungan sebab-akibat antara satu variabel dengan variabel yang lain.

dataset jupiter-notebook python regression-algorithms

Last synced: 10 Oct 2025

https://github.com/marta-barea/mlp-boston-house-regression

A simple project to train and evaluate a multilayer perceptron model on the Boston House Prices data using TensorFlow, SciKeras, and Scikit-Learn

boston-housing-dataset boston-housing-price-prediction deep-learning multilayer-perceptron python regression-algorithms

Last synced: 24 Jun 2025

https://github.com/blankscreen-exe/linear-regression

Attempt to re-construct a linear regression algorithm with python.

matplotlib python3 regression-algorithms

Last synced: 26 Feb 2025

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 13 Oct 2025

https://github.com/akankshaaa013/practice-machine-learning-projects

A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.

classification machine-learning-algorithms regression-algorithms scikit-learn

Last synced: 15 Mar 2025

https://github.com/lukemercouris/bike_rental_predictor

Bike Rental Demand Prediction: Built regression model to forecast hourly bike rentals in DC using time-based features and Gradient Boosting Regressor. Achieved R² of 0.965, RMSE of 33.94, and MAE of 22.49. Created Streamlit web app for real-time rental predictions.

classification-algorithm gradient-boosting machine-learning machine-learning-algorithms python regression-algorithms regression-models streamlit streamlit-webapp

Last synced: 17 Nov 2025

https://github.com/balajimohan18/sales-forecasting-datascience-project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

data-analytics data-science data-testing data-visualization forecasting forecasting-models machine-learning model-evaluation predictive-modeling python regression-algorithms salesforecast scipy sklearn-library supervised-learning

Last synced: 04 Mar 2025

https://github.com/msikorski93/protein-tertiary-structure

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow

Last synced: 26 Feb 2025

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 23 Feb 2025

https://github.com/ha7890846/mental_fitness_tracker

The Mental Health Fitness Tracker project focuses on analyzing and predicting mental fitness levels of individuals from various countries with different mental disorders. It utilizes regression techniques to provide insights into mental health and make predictions based on the available data.

artificial-intelligence data-science forest graph jupiter-notebook matplotlib plot prediction-model python regression-algorithms seaborn

Last synced: 09 Apr 2025

https://github.com/traore-07/supervised-learning-models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

classification classification-algorithims machine-learning machine-learning-algorithms regression regression-algorithms supervised-learning

Last synced: 12 Jun 2025

https://github.com/vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 02 Mar 2025

https://github.com/aryar-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

data-analysis data-preprocessing educational-project gradient-descent linear-regression machine-learning python regression-algorithms scikit-learn

Last synced: 25 Oct 2025

https://github.com/abhaypaii/compare-ml-algo-app

I use the LazyPredict python library to compare the time and memory usage of every regressor/classifier algorithm for a user's dataset

algotithms classification-algorithm ml python3 regression-algorithms

Last synced: 05 Sep 2025

https://github.com/lukemercouris/loan_prediction

Loan Approval Prediction: Built binary classification model to predict loan approvals using financial and demographic data. Applied preprocessing and StandardScaler normalization. Used Gaussian Naive Bayes model achieving 92% recall for approvals, 74% accuracy, and 82% F1-score. Deployed via Flask web application.

machine-learning matplotlib pipelines python regression-algorithms regression-model seaborn sklearn streamlit

Last synced: 21 Feb 2025

https://github.com/shridhar1504/zomato-rating-prediction-datascience-project

The Zomato Rating Prediction project aims to develop a Machine Learning based system for the prediction of rating for the Restaurants.

data-science machine-learning regression-algorithms regression-models supervised-learning

Last synced: 09 Apr 2025

https://github.com/shridhar1504/flight-price-prediction-datascience-project

The Flight Price Prediction Project is a machine learning-based project that predicts the cost of a flight based on the user's desired travel details. The project uses a variety of features, such as the source airport, destination airport, date of journey, and number of stops, to train a model that can predict the future price of a flight.

data-science machine-learning regression-algorithms regression-models supervised-learning

Last synced: 09 Apr 2025

https://github.com/nithin-sudarsan/linear-regression-from-scratch

Linear Regression build from scratch using numpy and pandas, visualized using matplotlib

linear-regression linear-regression-scratch machine-learning machine-learning-algorithms maths regression-algorithms

Last synced: 03 May 2025

https://github.com/mihikabairathi/pypi-package-prediction

Time-series regression model built on release dates of all PyPI Packages

deployment exploratory-data-analysis pypi regression-algorithms web-scraping

Last synced: 26 Mar 2025

https://github.com/wittyicon29/kaggle-paris-housing-price-prediction-

Paris Housing price prediction is a part of Kaggle's Playground Series. The model is trained using the Random forest algorithm in scikit learn. The dataset consists of Paris housing prices based on various features

regression regression-algorithms regression-analysis scikitlearn-machine-learning

Last synced: 27 Jun 2025

https://github.com/dosbolacademic/heart-failure-prediction-project-heart-failure-prediction-

I used Linear Regression and Logistic Regression to predict predict when people will have mortality caused by heart failure. Also, I used turning hyperparameters for Logistic Regression and Rigo/Lasso for Linear Regression

classification-algorithm hyperparameter-tuning linear-regression logistic-regression plots regression-algorithms

Last synced: 02 Nov 2025

https://github.com/kalpanabaheti/water-quality-analysis

A balanced distribution of domain expertise (Chemical dependence and stoichiometry) and machine learning algorithms to derive the most accurate estimate of water quality over given time. Emphasis on algorithms that have been tweaked to bring about good results. Proof-driven and tested concept.

artificial-intelligence biostatistics chemical-reactions curve-fitting data-science djikstra machine-learning regression-algorithms

Last synced: 25 Feb 2025

https://github.com/ddeepanshu-997/polynomial_regression_in-machine_learning

In this project i am performing the polynomial regression on the given dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e polynomial regression

data-science machine-learning polynomial-regression regression regression-algorithms regression-analysis regression-models

Last synced: 07 Jul 2025

https://github.com/heal-research/heal.cfr

Continued Fraction Regression for .NET

continued-fractions regression-algorithms symbolic-regression

Last synced: 31 Oct 2025