piecewise-regression (aka segmented regression) in Python
piecewise-regression (aka segmented regression) in Python - Published in JOSS (2021)
IKPLS
IKPLS: Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX - Published in JOSS (2024)
LinRegOutliers
LinRegOutliers: A Julia package for detecting outliers in linear regression - Published in JOSS (2021)
VBLinLogit
VBLinLogit: Variational Bayesian linear and logistic regression - Published in JOSS (2019)
@stdlib/datasets-harrison-boston-house-prices
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/datasets-harrison-boston-house-prices-corrected
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/datasets-pace-boston-house-prices
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
financial-models-numerical-methods
Collection of notebooks about quantitative finance, with interactive python code.
bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
msaenet
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
skpr
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
https://github.com/drsoliddevil/mlr-gd
Multiple linear regression by gradient descent.
https://github.com/friendly/vis-mlm-book
Github repo for my in-progress book, "Visualizing Multivariate Data and Models in R" to be published by Taylor & Francis (CRC Press), 2026
practicalstats-pucsp-2024
Statistical Measures in Python - Age and Salary Analysis
https://github.com/lquenti/blackheap
An blackbox approach to I/O modelling. (Migrated to Codeberg)
https://github.com/blakeaw/objectivelearner
Get more out of objective function evaluations made during model calibrations.
ILSE
Iterative Least Square Estimation or Full Information Maximum Likelihood Estimation for Linear Regression When Data Include Missing Values.
https://github.com/baggepinnen/basisfunctionexpansions.jl
Basis Function Expansions for Julia
house-price-prediction-regression-modeling
House price prediction involves analyzing data points to estimate the value of a residential property using statistical techniques such as regression analysis and machine learning algorithms. It is useful for both buyers and sellers in making informed decisions based on market trends and property values.
dftbonddependency
Repository to calculate bond based correction to reaction energy from low-level DFT
DPI
🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity of Outcome Versus Predictor Variables.
dhaka-house-rent-predictor
A simple python program with no external dependancy to predict the house rent at various locations. in Dhaka, Bangladesh.
https://github.com/aarnasi/ml-scikit-learn
Traditional machine learning (ML) demonstrations for data analysis and predictive modeling.
stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
https://github.com/aveek-saha/sentiment-based-stock-price-forecasting
Apple Stock Price Forecasting using Sentiment Analysis
https://github.com/dadananjesha/simple-linear-regression
Simple Linear Regression in Python is an educational project demonstrating how to perform linear regression analysis using Python.