EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: about 15 hours ago - Pushed at: about 1 month ago - Stars: 9,926 - Forks: 1,579

LKEthridge/Time_Series

A Time Series project from TripleTen

Language: Jupyter Notebook - Size: 779 KB - Last synced at: about 22 hours ago - Pushed at: about 23 hours ago - Stars: 0 - Forks: 0

jonigl/mcp-client-for-ollama

A python-based client for interacting with Model Context Protocol (MCP) servers using Ollama. Features include multi-server support, dynamic model switching, tool management, and a rich terminal interface.

Language: Python - Size: 19.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 32 - Forks: 8

joshspeagle/dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Language: Python - Size: 143 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 379 - Forks: 85

config-i1/greybox

Regression model building and forecasting in R

Language: R - Size: 4.46 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 31 - Forks: 7

SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Language: Python - Size: 30.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 524 - Forks: 49

JLDC/model-confidence-set

Model Confidence Set (MCS) implementation in Python

Language: Python - Size: 18.6 KB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 11 - Forks: 0

NathanP23/Regression-and-Statistical-Models-52571

Content of the course "Regression and Statistical Models (52571)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

JohannesBuchner/UltraNest

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

Language: Python - Size: 167 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 183 - Forks: 31

JohannesBuchner/BXA

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

Language: Python - Size: 80 MB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 62 - Forks: 19

alteryx/evalml

EvalML is an AutoML library written in python.

Language: Python - Size: 16.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 810 - Forks: 91

DistrictDataLabs/yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Language: Python - Size: 77 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 4,353 - Forks: 560

greentheguy/Regression-and-Statistical-Models-52571

# Regression-and-Statistical-Models-52571This repository contains course materials for "Introduction to Deep Learning (67822)" at The Hebrew University of Jerusalem. Taught by Dr. Assaf Weinstein and supported by tutorials from Niv Brosh, it covers key concepts in regression and statistical models. 🐙📊

Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 124 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 339 - Forks: 82

smartcorelib/smartcore

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Language: Rust - Size: 1.51 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 792 - Forks: 86

astro-informatics/proxnest

Proximal Nested Sampling for high-dimensional Bayesian model selection

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 4

Pongpisit-Thanasutives/parametric-discovery Fork of snagcliffs/parametric-discovery

Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

EpistasisLab/tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 29 days ago - Pushed at: 5 months ago - Stars: 232 - Forks: 31

rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Language: Jupyter Notebook - Size: 83.6 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 2,045 - Forks: 676

GenseeAI/cognify

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

Language: Python - Size: 4.58 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 234 - Forks: 24

balavenkatesh3322/CV-pretrained-model

A collection of computer vision pre-trained models.

Size: 1.1 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1,337 - Forks: 190

sberbank-ai-lab/LightAutoML 📦

LAMA - automatic model creation framework

Language: Python - Size: 23.4 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 925 - Forks: 96

DeepWisdom/AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Language: Python - Size: 4.46 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,161 - Forks: 217

Mudita1307/Real-Estate-Price-Prediction

Real Estate Price Prediction via Model Training-Testing

Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

heidelbergcement/hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Language: Python - Size: 10.9 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 150 - Forks: 20

Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Language: Python - Size: 25.9 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 233 - Forks: 45

Pongpisit-Thanasutives/UBIC-test

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Language: Jupyter Notebook - Size: 66 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nicofilippucci/PyEyeSim Fork of jozsarato/PyEyeSim

Integration and testing of new functionality for the library

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

BCG-X-Official/facet

Human-explainable AI.

Language: Jupyter Notebook - Size: 50.5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 521 - Forks: 47

gregorsteiner/gIVBMA.jl

Bayesian Model Averaging in instrumental variable models.

Language: Julia - Size: 157 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Oxid15/cascade

Lightweight and modular MLOps library targeted at small teams or individuals

Language: Python - Size: 47.2 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 22 - Forks: 1

bambinos/kulprit

Kullback-Leibler projections for Bayesian model selection in Python

Language: Python - Size: 4.85 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 34 - Forks: 5

sehbakhan/GDP-Prediction-Model

This project aims to predict the GDP of nations using key socioeconomic indicators such as population, life expectancy, CO₂ emissions, access to electricity, and unemployment rate.

Language: Jupyter Notebook - Size: 884 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

IngoScholtes/pathpy

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Language: Python - Size: 828 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 146 - Forks: 29

KHATEEB-ARMAN/House_price_prediction

House_price_prediction : The House Price Prediction project is a machine learning model designed to estimate the selling price of a house based on various factors such as location, size, number of rooms, amenities, and market trends.

Language: Jupyter Notebook - Size: 806 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Pongpisit-Thanasutives/UBIC-play

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Pongpisit-Thanasutives/UBIC

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1

FilippoMB/cross-validation-tutorial

Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

christophmark/bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Language: Python - Size: 11.1 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 163 - Forks: 28

AishwaryaGade02/Predicting-student-dropout-rate

Build predictive models to identify students at risk of dropping out, using their demographic, academic, and social indicators.

Language: R - Size: 149 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

WenjieZ/TSCV

Time Series Cross-Validation -- an extension for scikit-learn

Language: Python - Size: 224 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 255 - Forks: 42

boniolp/MSAD

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 33 - Forks: 6

vinuesa/TIB-filoinfo

Talleres Internacionales de Bioinformática - Centro de Ciencias Genómicas, UNAM, Cuernavaca, México

Language: Shell - Size: 160 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 22 - Forks: 5

cerlymarco/shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Language: Jupyter Notebook - Size: 122 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 576 - Forks: 73

tlverse/sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Language: R - Size: 11.2 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 102 - Forks: 43

automix-llm/automix

Mixing Language Models with Self-Verification and Meta-Verification

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 104 - Forks: 8

yzkang/My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Language: Python - Size: 27.6 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 393 - Forks: 68

fluidml/fluidml

FluidML is a lightweight framework for developing machine learning pipelines.

Language: Python - Size: 29.1 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 3

medoidai/skrobot

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Language: Python - Size: 47.2 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 24 - Forks: 2

asamallab/LDLM

Model selection by leveraging relative stability constraints derived from the developmental landscape of cell types

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 29 days ago - Pushed at: almost 7 years ago - Stars: 90 - Forks: 23

SirCornflake/BMS

Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.

Language: R - Size: 304 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rani-sikdar/Credit-Card-Fraud-Detection

The project aims to build a credit card fraud detection model, which tells us if the transaction made by the card is fraud or not. We will use the transaction and their labels as fraud or non-fraud to detect if the new transaction made by the customer is fraud or not.

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SubaashNair/smartpredict

An advanced machine learning library designed to simplify model training, evaluation, and selection.

Language: Python - Size: 76.2 KB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chjackson/fic

R package for focused information criteria for model comparison

Language: R - Size: 8.04 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 2

mononitogoswami/tsad-model-selection

Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 77 - Forks: 14

CarlosCandamil/Portfolio

Carlos Candamil's Business Analyst Portfolio.

Size: 2.01 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

imanirajian/Machine-Learning

Machine learning: Practical applications

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 5

biona001/Knockoffs.jl

Variable Selection with Knockoffs

Language: Julia - Size: 13.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 7 - Forks: 0

Riciokzz/Machine-Learning

One-stop guide to practical machine learning (ML) with real-world examples.

Language: Python - Size: 398 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

stk-kriging/contrib-cork

Rational kernel-based interpolation for complex-valued frequency response functions [arXiv:2307.13484]

Language: MATLAB - Size: 355 KB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 2 - Forks: 2

alcrene/emdcmp

Original implementation of the EMD (empirical model discrepancy) model comparison criterion

Language: Python - Size: 618 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Language: R - Size: 10.8 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 1

BCG-X-Official/sklearndf

DataFrame support for scikit-learn.

Language: Python - Size: 15.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 7

mauricelanghinrichs/memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

Language: Python - Size: 55.4 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

mauricelanghinrichs/ABCdeZ.jl

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Language: Julia - Size: 894 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 12 - Forks: 1

semyonsw/Diabetes_Dataset

Here I analysed data and made pipeline out of it making model making/training/testing/selecting and hyperparameters selecting more user friendly and visualised, like an application. I have worked for this project ~2 weeks.

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

linhaowei1/Fine-tuning-Scaling-Law

🌹[ICML 2024] Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Language: Python - Size: 5.04 MB - Last synced at: 14 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 629 - Forks: 112

ksm26/Getting-Started-with-Mistral

Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2

OpenMendel/MendelIHT.jl

Iterative hard thresholding for l0 penalized regression

Language: Julia - Size: 119 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 4

PEtab-dev/petab_select

Model selection for PEtab

Language: Python - Size: 619 KB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 12 - Forks: 1

metriculous-ml/metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Language: Python - Size: 3.54 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 97 - Forks: 11

shireenkmanch/Evaluation-Epistemic-Preds

This repository contains code for the AISTATS 2025 paper: A Unified Evaluation Framework for Epistemic Predictions.

Language: Jupyter Notebook - Size: 90.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

merliseclyde/BAS

BAS R package for Bayesian Model Averaging and Variable Selection

Language: R - Size: 149 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 44 - Forks: 16

pascalbartschi/single-script-data-science

My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.

Language: HTML - Size: 245 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

praveendecode/US_HPI_Prediction

Explore the dynamics of US home prices over two decades using a robust Random Forest Regressor model. Achieving a 99.87% R2 score, uncover key factors influencing real estate trends

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jaydu1/ensemble-cross-validation

Cross-validation methods designed for ensemble learning

Language: HTML - Size: 536 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ADALabUCSD/cerebro-system

Data System for Optimized Deep Learning Model Selection

Language: Python - Size: 31.2 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 11

biometrician/abe

An R package for Augmented Backward Elimination

Language: R - Size: 277 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 0

agoda-com/spark-hpopt

Bayesian hyperparamter tuning for Spark MLLib

Language: Jupyter Notebook - Size: 711 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 1

estebanrucan/estyp

ESTYP: Extended Statistical Toolkit Library for Python

Language: Python - Size: 8.07 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

CelineChiLamNg/spaceship_prediction

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

boniolp/ADecimo

[ICDE 2024] a Web-app for Evaluation of Model selection for Anomaly Detection in Time Series

Language: Python - Size: 224 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 2

LoLab-MSM/Gleipnir

Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling

Language: Python - Size: 359 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

WalidAlsafadi/Indians-Diabetes

Pima Indians Diabetes - ML Model Selection (83%)

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

sushant1827/Predicting-Boston-Housing-Prices

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

Language: Jupyter Notebook - Size: 160 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 5

contefranz/OpTop

Optimal topic identification from a pool of Latent Dirichlet Allocation models

Language: R - Size: 327 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 0

JonasRieger/ldaPrototype

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

Language: R - Size: 799 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

Adi3042/Chest-X-Ray-Disease_Detection_using_CNN

🩺 Chest X-Ray Disease Detection using CNN | Detect diseases from X-ray images with AI 📊🚀 | Features: Preprocessing, CNN architecture, accuracy metrics 💡 | Get Started: Clone & explore! 🖥️✨

Language: Jupyter Notebook - Size: 159 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

juliahaas1/STAT-543-Midterm

The purpose of this project was to analyze traffic stop data and create a model to predict if when a search was conducted contraband will be found.

Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Beliavsky/TimeSeriesAnalysis

R scripts for time series analysis using the MTS package

Language: R - Size: 24.4 KB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Mugambi645/medical-insurance-cost-analysis

Medical cost insurance predictor

Language: Jupyter Notebook - Size: 632 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

RoryQo/Tuition-Variation-Research

This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI and minimizing student loan debt.

Language: R - Size: 1.91 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

junipertcy/bipartiteSBM

A Bayesian model+algorithm for community detection in bipartite networks

Language: Python - Size: 4.1 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 9

Pakillo/stats-intro

Introduction to statistical inference

Language: RMarkdown - Size: 39.2 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 1

Blacksujit/Suraksha

Welcome to the **SURAKSHA -- Secure Document Query Application**! This powerful tool allows you to securely upload, search, and analyze documents with ease. Built using Streamlit, this app offers an intuitive interface and various features for managing your document queries efficiently.

Language: Python - Size: 14.9 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sg-dev/pathpy

pathpy is an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.

Language: Python - Size: 1.65 MB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

virajbhutada/diamond-price-estimator

This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.

Language: C - Size: 34.3 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

coslynx/OpenAI-Python-Wrapper

Streamlined API for simplified OpenAI requests, enabling efficient AI integration... Created at https://coslynx.com

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0