https://github.com/chhayac/machine-learning-notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

cifar-10 ipython-notebook iris iris-dataset keras keras-neural-networks keras-tensorflow linear-regression machine-learning multivariate-regression notebook tensorflow tensorflow-models

Last synced: 12 Nov 2024

https://github.com/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.

ase cp2k cpmd kernel-regression kernel-ridge-regression lammps molecular-dynamics multivariate-regression parameter-sweep polynomial-regression postprocessing preprocessing python quantum-espresso quasi-harmonic-approximation radial-basis-function radial-distribution-function radial-pair-correlation-function sqlite

Last synced: 31 Jan 2025

https://github.com/robinthibaut/skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

bayesian-inference gaussian-process gaussian-process-regression gaussian-processes geology groundwater hydrogeology machine-learning multiple-output-regression multivariate-regression pfa sklearn

Last synced: 12 Apr 2025

https://github.com/openmendel/mendeliht.jl

Iterative hard thresholding for l0 penalized regression

genetic-algorithms glm gwas julia model-selection multivariate multivariate-regression regression sparse-linear-solver sparsity

Last synced: 12 Apr 2025

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/tirthajyoti/graddescent

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

feature-engineering gradient-descent linear-regression matlab matlab-script multivariate-regression octave-scripts

Last synced: 10 Mar 2025

https://github.com/jbris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

canonical-correlation-analysis concrete dimension-reduction dimensionality-reduction factor-analysis mds multivariate multivariate-analysis multivariate-data multivariate-distributions multivariate-linear-regression multivariate-regression multivariate-statistics nmds partial-least-squares partial-least-squares-regression pca pca-analysis pls redundancy-analysis

Last synced: 13 Nov 2024

https://github.com/bhattbhavesh91/multivariate-adaptive-regression-splines-demo

A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python

adaptive-regression mars multivariate-regression python regression-analysis regression-models

Last synced: 17 Apr 2025

https://github.com/riteshpuvvada/machine-learning-lab

A cluster of Machine Learning algorithms

candidate-elimination find-salgorithm id3-algorithm kernal-svm knn-algorithm linear-regression linear-svm logistic-regression machine-learning machine-learning-algorithms multiclass-svm multivariate-regression navie-bayes-algorithm neural-networks random-forest svm-classifier univariate-regressions weighted-knn

Last synced: 11 Feb 2025

https://github.com/keanteng/flood_risk_model_2

🌍Flood risk modelling with logistic regression (multivariate)

flooding logistic-regression multivariate-regression python risk-analysis streamlit streamlit-webapp

Last synced: 11 Apr 2025

https://github.com/friendly/vismlm-course

Materials for my SCS Short course, Visualizing Linear Models: An R Bag of Tricks, Oct. 2021

multivariate-regression r regression-models visualization

Last synced: 07 Apr 2025

https://github.com/kaustubholpadkar/predicting-house-price-using-multivariate-linear-regression

Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch

data-science gradient-descent jupyter-notebook linear-regression machine-learning mini-batch-gradient-descent multivariate-regression python stochastic-gradient-descent supervised-learning

Last synced: 09 Feb 2025

https://github.com/juzershakir/linear_regression

A Mathematical Intuition behind Linear Regression Algorithm

algorithm bias-variance cost-function feature-scaling gradient-descent house-price-prediction hypothesis linear-algebra linear-equations linear-regression machine-learning matrices mean-normalization mean-square-error mse multivariate-regression partial-derivative regularized-linear-regression univariate-regressions vector

Last synced: 14 Mar 2025

https://github.com/syedfaiqueali/data-science-and-machine-learning-bootcamp

Exploring Data Science and Machine Learning using Python.

data-cleaning data-preprocessing deep-learning descriptive-statistics gradient-descent linear-regression multivariate-regression naive-bayes-classifier neural-network optimization-algorithms tensorflow-models

Last synced: 06 Apr 2025

https://github.com/amarlearning/linear-regression-iris-dataset

Applied Multivariable Linear Regression on Iris Dataset

beginner-project gradient-descent linear-regression machine-learning matplotlib mean-square-error multivariate-regression numpy

Last synced: 11 Apr 2025

https://github.com/maxmekiska/arguing_predictors

Time series forecasting with arguing machine learning predictors.

algorithms bidirectional-lstm cnn cnn-bilstm cnn-lstm consensus deep-learning lstm mlp multivariate-regression neural neuralprophet prophet-facebook regression time-series

Last synced: 28 Mar 2025

https://github.com/nuccitheboss/mtsr-datasets

Multivariate Time Series Regression data sets formatted to be trained on and manipulated by the jespipe application.

iot jespipe machine-learning multivariate-regression sensor-data

Last synced: 22 Mar 2025

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 01 Mar 2025

https://github.com/mohamedasad10/linearregression-machinelearning

Showcasing the work done for the CSC312 Machine Learning assignment, where linear regression is implemented from scratch and compared with sklearn's library. The project highlights the importance of feature scaling and demonstrates how to optimize models for accurate predictions.

jupyter-notebook linear-regression machine multivariate-regression python

Last synced: 13 Jan 2025

https://github.com/goessl/multipoly

A multivariate polynomial module.

easy lightweight multivariate multivariate-polynomials multivariate-regression numpy pip pip3 polynomial polynomial-regression polynomials pypi python python3

Last synced: 02 Mar 2025

https://github.com/latiefdatavisionary/multivariate-analysis-college-task

multivariate-analysis multivariate-data multivariate-distributions multivariate-linear-regression multivariate-polynomials multivariate-regression multivariate-statistics multivariate-testing multivariate-time-series multivariate-timeseries multivariate-timeseries-analysis

Last synced: 13 Mar 2025

https://github.com/xgagandeep/machine-learning-algorithms-without-using-ml-libraries.

This repository contains various links for repo for implementations of machine learning algorithms from scratch using Python

decision-trees face-recognition image-processing image-segmentation kmeans-clustering knn-classification linear-regression machine-learning machine-learning-algorithms machinelearning multivariate-regression naive-bayes-classifier regression-trees

Last synced: 02 Mar 2025

https://github.com/vishalanandv/multivariate_regression_analysis

Multiplevariate Linear Regression, Gradient Descent with Python

data-science data-visualization dataanalysis gradient-descent linear-regression multivariate-regression python

Last synced: 03 Mar 2025

https://github.com/kabragaurav/sales-revenue---linear-regression

linear-regression multivariate-regression python3 revenue sales univariate-regressions yellowbrick

Last synced: 15 Mar 2025

https://github.com/extwiii/datascience-jhu

Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera

biostatistics data-analysis data-science linear-regression multivariate-regression r r-programming toolbox visualization

Last synced: 23 Mar 2025

https://github.com/wb-az/mlib-pyspark-soundlevel-prediction

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

correlation-analysis data-engineering-pipeline data-science grid-search mean-absolute-error mean-square-error metrics multivariate-regression nasa pyspark pyspark-mllib pyspark-sql python r-squared regressor rmse sound-processing

Last synced: 05 Mar 2025

https://github.com/aljonny/worksamples_datascience

Machine Learning topics and code examples from coursework

ipython-notebook keras-classification-models multivariate-regression neural-network python r-markdown r-programming time-series-forecasting univariate-regressions

Last synced: 01 Mar 2025

https://github.com/mohamedasad10/linearregression

Showcasing the work done for the CSC312 Machine Learning assignment, where linear regression📈is implemented from scratch and compared with sklearn's library. The project highlights the importance of feature scaling and demonstrates how to optimize models for accurate predictions.

jupyter-notebook linear-regression machine multivariate-regression python

Last synced: 02 Mar 2025

https://github.com/darkdk123/house-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

data-analysis data-science data-visualization matplotlib-pyplot multivariate-regression predictive-modeling statistics

Last synced: 19 Feb 2025