jordandeklerk/pyloo

Python package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS) for Bayesian Modeling

Language: Python - Size: 4.39 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

bayesflow-org/bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

Language: Python - Size: 480 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 456 - Forks: 63

RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

Size: 1.95 KB - Last synced at: 5 days ago - Pushed at: 24 days ago - Stars: 5 - Forks: 0

Joshuaalbert/jaxns

Probabilistic Programming and Nested sampling in JAX

Language: Python - Size: 51.3 MB - Last synced at: 16 days ago - Pushed at: 5 months ago - Stars: 173 - Forks: 12

AAnzel/Polar-Diagrams-Dashboard

"A Multi-Technique Strategy for Improving Summary Polar Diagrams" by Aleksandar Anžel, Zewen Yang, and Georges Hattab

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

nadhif-royal/ModelComparisonML

In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Language: R - Size: 111 MB - Last synced at: 6 days ago - Pushed at: 22 days ago - Stars: 153 - Forks: 34

vsquicciarini/madys

MADYS: isochronal parameter determination for young stellar and substellar objects

Language: Python - Size: 32.2 MB - Last synced at: 15 days ago - Pushed at: 22 days ago - Stars: 7 - Forks: 0

JuliusPinsker/Molecular-GNN-Explorer

This project leverages a reproducible devcontainer environment, making it easy to set up and run on any machine with Docker and Visual Studio Code (or another compatible editor). By comparing three state-of-the-art GNN architectures (GCN, GAT, and GIN), the project provides insights into their relative performance in a regression task.

Language: Python - Size: 566 KB - Last synced at: 17 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

Daniel-Andarge/AiML-brent-oil-price-analysis

This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

ShivaNeuralNet/Google-Stock-Price-Prediction-Using-LSTM

Deep learning project for forecasting Google stock prices using LSTM. Includes EDA, SMA insights, LSTM tuning, and model performance comparison.

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

rajan-bhateja/AQI-Predictor

Different models trained on Indian Cities to predict AQI

Language: Jupyter Notebook - Size: 56.1 MB - Last synced at: 23 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

ayushi-p/nlp-analysis

This project applies Natural Language Processing (NLP) techniques to analyze public sentiment regarding the Russia-Ukraine conflict. By examining real-time social media data from platforms like Twitter and Reddit, the goal is to generate actionable insights that can help stakeholders refine their communication strategies and respond effectively.

Language: Jupyter Notebook - Size: 7.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

imamaaa/cifar10-image-classification-vit-resnet-cnnmlp

This project implements and compares Vision Transformer (ViT), ResNet-18 (Transfer Learning), and a CNN-MLP Hybrid model for image classification on CIFAR-10. It includes a Flask-based web app where users can upload images, select a model, and view real-time classification results.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sergio11/headline_generation_lstm_transformers

Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.

Language: Jupyter Notebook - Size: 6.37 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

andrepradika/ml-regression-models-compares

Machine Learning Regression Models project! 🎉 This project is all about comparing different regression models to predict output variables based on input data. 📊

Size: 1.07 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AAnzel/Polar-Diagrams-for-Model-Comparison

"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab

Language: Jupyter Notebook - Size: 243 MB - Last synced at: 13 days ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0

angchekar28/Lung-Cancer-Prediction

This project builds and compares multiple machine learning models to predict lung cancer based on patient attributes. It evaluates classification models like Logistic Regression, Decision Tree, Random Forest, and SVM for early diagnosis.

Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SonghuaHu-UMD/Explainable_AI_Comparison

Language: Python - Size: 16.7 MB - Last synced at: about 15 hours ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 3

com-parit/model-comparator

An IDE-agnostic Software model comparison tool that allows the user to choose the type of matching; similarity based or signature based, and specify the similarity threshold, modelling language of the models to be compared, and the granularity of comparison.

Language: Java - Size: 85.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0

UBC-MDS/RegscorePy

This is the repo for a python package that does model comparison between different regression models.

Language: Python - Size: 164 KB - Last synced at: 7 days ago - Pushed at: about 7 years ago - Stars: 22 - Forks: 4

AKKI0511/Traffic-Sign-Recognition

Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy with a focus on real-world efficiency.

Language: Jupyter Notebook - Size: 171 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AncaPitigoi/car-risk

This project attempts to forecast the vehicle risk rating for an insurance company. Different data mining applications will be used and compared to see which one is best fit for this dataset.

Language: Jupyter Notebook - Size: 870 KB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gershonc/octopus-ml

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 5

eggplantbren/AndromedaMixture

The inference code for our Nature paper about globular clusters in M31/Andromeda.

Language: C++ - Size: 42 KB - Last synced at: 21 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

cissagatto/MultiLabelFriedmanNemenyi

This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.

Language: R - Size: 164 KB - Last synced at: 8 months ago - Pushed at: 8 months 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: 18 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Christian-F-Badillo/Temas_Selectos_en_Estadistica

Repositorio para el curso intersemestral "Temas Selectos en Estadística" para la Facultad de Psicología, UNAM.

Language: Jupyter Notebook - Size: 47 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

RobCaamano/Predictive-Modeling-using-Federal-Economic-Data

💸 Predicting U.S. Retail Sales from FRED Data using Neural Networks

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

madelinelui/strength_personality

This personal project investigated with model comparison the relationship between physical strength and fearful personality scores in participants.

Size: 18.6 KB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

wknoben/MARRMoT

Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

Language: MATLAB - Size: 32 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 105 - Forks: 53

Godhuli-De/LungCancerPrediction_ModelComparison

This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

yusufesatt/model-map-comparison

This project includes a python script that creates graphs by reading data from CSV files of models trained with YOLO.

Language: Python - Size: 683 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

phdpablo/smart-cfa

Solution in the form of a tutorial article wherein the key decisions made in conducting a CFA are validated through recent literature and presented within a dynamic document framework.

Language: TeX - Size: 9.12 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sanhiitaa/salary-prediction

End-to-End Machine Learning project I made as a machine learning intern @ Mentorness

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

KeshavElangoDS/LifeExpectancyAnalysis_MLR

The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.

Language: R - Size: 1.11 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

cheeann13/Heart-Attack-APP

Machine Learning Model Comparison, Logistic Regression, Streamlit Cloud

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AugustusVash/HELOC-Risk-Evaluation

This project develops a predictive model and a decision support system for evaluating the risk associated with Home Equity Line of Credit (HELOC) applications. It features an interactive interface for financial institutions, integrating multiple models for transparent and effective decision-making.

Language: Jupyter Notebook - Size: 611 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mjvakili/gambly

Searching for galaxy-assembly bias in the SDSS data

Language: Python - Size: 3.63 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

selotape/G-PhoCS Fork of gphocs-dev/G-PhoCS

G-PhoCS is a software package for inferring ancestral population sizes, population divergence times, and migration rates from individual genome sequences.

Language: C++ - Size: 3 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

vicaaa12/advanced-machine-learning

Advanced Machine Learning

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amiruzzaman1/Idiom-Detection-NLP

This project pioneers advancements in Natural Language Processing (NLP) by introducing a deep neural network approach to address challenges in interpreting multi-word sentences, detecting idioms, and classifying text. Focusing on text classification, it evaluates various models, with BERT outperforming others with an F1 score of 0.7980.

Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amiruzzaman1/Heart-Disease-Classifications

This project involves a classification task using various machine learning algorithms on a heart disease dataset. The dataset comprises features related to heart health, with the target variable indicating the presence or absence of heart disease.

Size: 922 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

m-clark/R-III-Modeling

Using models to understand relationships and make predictions.

Size: 7.79 MB - Last synced at: 27 days ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 1

amiruzzaman1/Cyberbullying-Detection-Hinglish

Cyberbullying Detection App specifically designed for the Hinglish language, which is a combination of Hindi and English. The application utilizes various machine learning and deep learning algorithms fine-tuned for natural language processing and classification tasks.

Language: Python - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

guyabel/tidycat

Expand broom::tidy() output for categorical parameter estimates

Language: R - Size: 6.6 MB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

luissaster/sin-492-reconhecimento-de-padroes

Projeto desenvolvido durante a disciplina SIN 492 - Reconhecimento de Padrões, da Universidade Federal de Viçosa - Campus Rio Paranaíba.

Language: Jupyter Notebook - Size: 2.69 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yihong1120/YOLOv8-qat Fork of jahongir7174/YOLOv8-qat

Quantization Aware Training

Language: Python - Size: 9.38 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sfcheung/modelbpp

Model BIC posterior probability

Language: R - Size: 6.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Zener085/text-detoxification

Research and creation of a tool for transforming toxic sentences into neutral forms.

Language: Jupyter Notebook - Size: 487 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sahaj-26/House-Price-Prediction

The project aims to predict house prices in California based on various features using machine learning techniques. It uses the California housing dataset, comprising 20640 data entries and 8 attributes, with the target being the house price.

Language: Jupyter Notebook - Size: 568 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sls-mdr/rdc-model-comparison-donors-for-charity

I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.

Language: Jupyter Notebook - Size: 740 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

mykmal/drab

DRAB: differential regulation analysis by bootstrapping

Language: R - Size: 132 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nissim-panchpor/Email-Spam-Detecting-ML-Classifier

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 14

malikamohan01/significant-police-factors-r

Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that police hold. In order for stakeholders like activism groups and local policymakers to make the most change in the quickest and most effective manner in response to these calls, the data code and report strived to answer a questions that will enable this. The primary tool used was R, with ggplot and machine learning packages.

Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

CharlieEvert/SASEnterpriseMiner

This is a PDF showcasing some predictive analytical models (neural networks, stepwise regression, linear regression & decision trees) that I developed in SAS Enterprise Miner to predict powerlifting totals from 16 attributes. I recorded a video presentation here: https://www.youtube.com/watch?v=UiAXxhgRxy0&ab_channel=CharlieEvert

Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

chjackson/fic

R package for focused information criteria for model comparison

Language: R - Size: 8 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

tsaglam/Vitruv-CaseStudy Fork of vitruv-tools/Vitruv

View-based development and model consistency framework

Language: Java - Size: 98.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ZerksisMistry/Project_GPT-3.5_LLM

Explanation and Game – Play Capabilities of Modern AI and Large Language Models Project

Language: Jupyter Notebook - Size: 32.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

m-pektas/BFAS

Brute Force Architecture Search

Language: Python - Size: 193 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

wittawatj/kernel-mod

NeurIPS 2018. Linear-time model comparison tests.

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 17 - Forks: 3

lkazantzi/H0_Model_Comparison

This repository contains the CLASS/MontePython Implementations as well as the Mathematica files of our paper

Language: Mathematica - Size: 760 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ashx010/taxi_fare_prediction

Regression model on Taxi Fare Data with EDA. The data is taken from a Hackathon ( Data Science Student Championship 2023 ) on MachineHack.

Language: Jupyter Notebook - Size: 9.68 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

ashx010/Titanic_Analysis_Model

Classification model on Titanic: Tragic shipwreck with EDA. Secured Accuracy Score of ~0.78.

Language: Jupyter Notebook - Size: 8.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Enzo2806/MLP-CNN

We implemented a Multi-Layer Perceptron (MLP) model from scratch and compared its performance based on image classification accuracy on the "Fashion-MNIST" dataset to the performance of the Tensorflow Keras library's Convolutional Neural Network (CNN).

Language: Jupyter Notebook - Size: 430 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Enzo2806/Logistic-Multiclass

We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.

Language: Jupyter Notebook - Size: 444 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Enzo2806/KNN-DecisionTree

We investigated the performance of the K Nearest neighbours and the Decision Tree machine learning models. We compared them based on their classification accuracy on the UCI Hepatitis and Diabetic Retinopathy datasets.

Language: Jupyter Notebook - Size: 5.93 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Sanaelotfi/Bayesian_model_comparison

Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 2

ahmedmbutt/Heart-Failure-Prediction

Developing, Evaluating, and Comparing different Classification Models on Heart Failure Prediction Dataset

Language: Jupyter Notebook - Size: 404 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alicelh/ModelWise

ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection(EuroVis 22)

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

NicolaZomer/Microbial_Scaling_Laws

Explaining microbial scaling laws using Bayesian inference

Language: Jupyter Notebook - Size: 151 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

WojciechSylwester/Iris_EDA_Model_Comparison

Solving a classification problem with model comparison using learning curves.

Language: Jupyter Notebook - Size: 563 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

seuwenfei/Diabetes-classification-model-comparison

This repository contains my diabetes classification model comparison project using Python

Language: Jupyter Notebook - Size: 395 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

seuwenfei/Online-payment-fraud-detection

This repository contains my online payment fraud detection project using Python

Language: Jupyter Notebook - Size: 593 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AaronFlore/Forecasting-Bitcoin-Prices

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

McSCert/Model-Comparison-Utility

Matlab command-line functions for supporting Simulink model comparison

Language: MATLAB - Size: 7.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

mainkoon81/ooo-Bayesian-Introduction

Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

EmilianoGagliardiEmanueleGhelfi/CNN-compression-performance

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Language: Python - Size: 304 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 10

sai-shi/Children-learning-process-prediction

Language: Jupyter Notebook - Size: 256 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

bortch/secondhandcar

UK Used Car Challenge

Language: Jupyter Notebook - Size: 42.2 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

glubbdubdrib/lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

Language: Python - Size: 781 KB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

SparshBohra/House-Price-Prediction

Predicting prices of houses using regression

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

advaitsave/Churn-Classification-Model-Selection

A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

sanket1105/Iris-dataset-and-comparing-models

everything about the code is explained within the code file .ipynb itself using comments above or below the code.

Language: Jupyter Notebook - Size: 760 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

xylimeng/D-probability

D-probabilities of parametric models using nonparametric model reference

Language: R - Size: 939 KB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

vjgpt/Housing-Prices-Competition-Kaggle

Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.

Language: Jupyter Notebook - Size: 198 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0