modelselection

There are 0 repository under modelselection topic.

anjalisilva / mixMVPLN
R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.
clustering count-data data-simulation matrix-variate-distributions mcmc-em mixture-models model-based-clustering modelselection stan variational-gaussian visualization
Language:R 7
JonasRieger / ldaPrototype
Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
topicmodeling topicmodelling lda topic-models topic-model topic-similarities text-mining textdata latent-dirichlet-allocation modelselection model-selection reliability
Language:R 7
trbKnl / sparseWeightBasedPCA
An R package for regularized weight based SCA and PCA
modelling modelselection pca sca
Language:R 3
alairdata / CO2-Emissions-Prediction-Model
This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.
artificial-intelligence datascience datascience-machinelearning machinelearning machinelearningalgorithms machinelearningprojects modelselection regression-models
Language:Jupyter Notebook 2
bhanukad610 / SARIMAX-for-Traffic-volume
SARIMAX model for forecast traffic volume
sarimax time-series modelselection pmdarima hacktoberfest
Language:Python 2
sghosh89 / BIVAN
This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020
copula synchrony tail-dependence modelselection non-parametric-statistics dependence-in-ecological-variables moran-process leibigs-law-of-minimum taylors-law skewness stability extinction-risk-assessment surrogates
Language:R 2
D-kn / Adult-Income-Dataset
Annual Income Prediction Using Machine Learning
machine-learning data-science feature-engineering pca-analysis modelselection
Language:Jupyter Notebook 1
jibanCat / gp_dla_detection
Detecting Damped Lyman-alpha Absorbers (DLAs) with Gaussian Processes
gaussian-processes lyman-alpha lyman-forests classification modelselection
Language:Python 1
Keerthiraj-Nagaraj / ML4SCI-hackathon-project
ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.
machine-learning data-science regression-models modelselection nmr-spin-challenge ml4sci-hackathon science
Language:Jupyter Notebook 1
marcosbeliera / Machine-Learning
Check my projects related to ML feature engineering and modeling.
feature-engineering machine-learning-algorithms matplotlib-pyplot modelselection seaborn-plots
Language:Jupyter Notebook 1
noahdufresne / Machine_Learning_Portfolio
logistic-regression modelselection neural-networks nlp regression-analysis regression-models supervised-learning
Language:Jupyter Notebook 1
TelRich / GOT_Character_Death_Prediction
This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.
classification crossvalidation gridsearchcv hamoye hamoyedatascienceinternship machine-learning modelselection parameter-tuning prediction random-forest-classifier randomsearch-cv teamwork premiere-project
Language:Jupyter Notebook 1
alairdata / Prediction-of-Cancer-Types-using-Gene-Expession
This has been a machine learning quest to classify cancer types using gene expression data, utilizing powerful tools and techniques to preprocess, train and evaluate models. The ultimate goal, to save lives through early diagnosis with high accuracy and precision.
artificial-intelligence-algorithms data-science data-structures machine-learning machine-learning-algorithms machinelearning-python machinelearningmodel models modelselection
Language:Jupyter Notebook 0
Anithanaidu33 / Stock-Prediction
This project aims to predict the future stock prices of various companies using machine learning and deep learning techniques. By analyzing historical stock price data and incorporating relevant features, the goal is to build accurate and robust models that can forecast stock prices over different time horizons.
datacollection datapreprocessing deep-learning evaluation modelselection modeltraining visualization
0
Arif-Rehman / ExcelR-Assignment---Multi-Linear-Regression-Assignment---5
Multi Linear Regression Assignment - 5
machine-learning modelselection multi-linear-regression outlier-detection regression sklearn-metrics statsmodels
Language:Jupyter Notebook 0
ashot-gimishyan / ML-MIPT
Open Machine Learning course at MIPT
classification data-science machine-learning machine-learning-algorithms mipt mipt-homeworks mipt-programming ml-models modelselection neural-networks regression supervised-learning unsupervised-learning
Language:Jupyter Notebook 0
chrisborges / Model_selection
A dredge function to select the best models through an exhaustive combination of parameters.
dredge modelselection
Language:R 0
Dineshkumar56 / Department-Wide-Sales-Prediction
We have been given historical sales data for 45 stores situated in various regions. Each store comprises multiple departments, and our objective is to forecast sales for each department within these stores.
data-visualization datapreprocessing feature-engineering machine-learning-algorithms matplotlib-pyplot modelselection pandas python scikit-learn sklearn
Language:Jupyter Notebook 0
fabiusspop / ML
clasification clustering datapreprocessing deep-learning modelselection natural-language-processing regression
Language:Jupyter Notebook 0
HariShanmugavelu / FeaturizationModelTuning_PredictCompressiveStrength
Predicting compressive strength of concrete using machine learning models with featurization and Hyper parameter tuning
decision-tree-regression featurization hyperparameter-tuning linear-regression modelselection python3 regression svr
Language:Jupyter Notebook 0
kpsijil2 / Amazon-Employee
Amazon employee data to predict approval/ denial
numpy python pandas accuracy-score boxplot catboost-classifier heatmap logistic-regression matplotlib modelbuilding modelselection seaborn sklearn upsampling warnings
Language:HTML 0
kpsijil2 / Breast-Cancer
Predicting whether or not a cell has cancer.
accuracy-score classification confusion-matrix knn-classifier matplotlib metrics modelselection numpy pandas python seaborn sklearn support-vector-classifier warnings
Language:HTML 0
manujbsharma / Credit_Card-Fraud_Detection
The aim of this project is to predict fraudulent credit card transactions using machine learning models.
adasyn classimbalance hyperparametertuning knn-regression modelevaluation modelselection smote xgboost-regression
Language:Jupyter Notebook 0
MvMukesh / Models-InProduction
Integrated robust and reliable ML Pipelines for Research and Production environment
ci-cd containers data-collection differential-testing feature-engineering feature-selection hyperparameter-optimization hyperparameter-tuning mlops-workflow modelapis modeldeployment modelselection modeltesting python restapi model-in-production modelassessment modelpackaging heroku-deployment aws
Language:Jupyter Notebook 0
pankjsalunkhe / Data-Science-Project
End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.
accuracy cleaning-data deployment eda feature-engineering feature-selection model modelselection random-forest readingdatasets streamlit visualization webpage
Language:HTML 0
rlaehddo / Forest_Fire
Linear Regression Models on Montesinho Forest Fire
linear-regression linear-models modelling modelselection model-selection aic k-fold-cross-validation r forestfire aka akaike-information-criterion lasso-regression lasso-regression-model
Language:R 0
saishivaniv / Car-Price-Prediction
A web application that employs machine learning models to provide accurate and instant car price estimations based on various features and specifications.
datacleaning eda feature-engineering flask-application html5 modelevaluation modelselection python
Language:Jupyter Notebook 0
saishivaniv / Heart-Attack-Prediction-Final-project
data-visualization dataanalysis datacleaning datapreprocessing eda modelselection performance-metrics python
Language:Jupyter Notebook 0
Tanmoy9563 / Treue_Technologies
This is about Treue Technologies Data science Internship tasks.
business data dataanalytics datascience decision-trees descriptive-statistics eda feature-engineering featureextraction featurescaling knn labelencoding linear-regression logistic-regression mechine-learning modelselection one-hot-encoding random-forest svm xgboost
Language:Jupyter Notebook 0
VishalP227 / uci-mushroom-dataset
Machine Learning project based on UCI mushroom dataset
cross-validation dimensionality-reduction feature-engineering hyperparameter-tuning machine-learning modelselection supervised-learning
Language:Jupyter Notebook 0
alaminbhuyan / Machine-Learning-Metrics
machine-learning modelselection numpy-library
Language:Jupyter Notebook
ashishyadav24092000 / Accuracy_confusionMAtrix_logisticRegression
It calculates the accuracy score and confusion matrix for a logistic regression model. The dataset is about coupon used or not in an apparel store known as Simmons .
confusion-matrix classificationreport accuracy-score logistic-regression pandas-dataframe numpy-arrays sklearn-library modelselection
Language:Jupyter Notebook
AvaACook / Bank_Fraud_Predictive
Model to predict fraudulent bank applications using a large Kaggle dataset
bigdata modelselection predictive r
FelipenerySilva / Grain-Yield--Linear-Model-Selection-and-Regularization
Multiple Linear Regression, Subset selection and Model Regularisation to determine which soil nutrients are most important in determining grain yield.
cross-validation lasso linear-regression modelselection multiple-linear-regression r regularization rmarkdown
pramodyasahan / model-selection
This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
machine-learning modelselection numpy pandas python regression scikit-learn
Language:Python
Vaishnavicodes / Flight-Delay-Analysis
Flight Analysis - Flight Delay
airline delay feature-engineering feature-selection fine-tuning gradient-descent machine-learning machine-learning-algorithms modelselection python
Language:Jupyter Notebook

modelselection

anjalisilva / mixMVPLN

JonasRieger / ldaPrototype

trbKnl / sparseWeightBasedPCA

alairdata / CO2-Emissions-Prediction-Model

bhanukad610 / SARIMAX-for-Traffic-volume

sghosh89 / BIVAN

D-kn / Adult-Income-Dataset

jibanCat / gp_dla_detection

Keerthiraj-Nagaraj / ML4SCI-hackathon-project

marcosbeliera / Machine-Learning

noahdufresne / Machine_Learning_Portfolio

TelRich / GOT_Character_Death_Prediction

alairdata / Prediction-of-Cancer-Types-using-Gene-Expession

Anithanaidu33 / Stock-Prediction

Arif-Rehman / ExcelR-Assignment---Multi-Linear-Regression-Assignment---5

ashot-gimishyan / ML-MIPT

chrisborges / Model_selection

Dineshkumar56 / Department-Wide-Sales-Prediction

fabiusspop / ML

HariShanmugavelu / FeaturizationModelTuning_PredictCompressiveStrength

kpsijil2 / Amazon-Employee

kpsijil2 / Breast-Cancer

manujbsharma / Credit_Card-Fraud_Detection

MvMukesh / Models-InProduction

pankjsalunkhe / Data-Science-Project

rlaehddo / Forest_Fire

saishivaniv / Car-Price-Prediction

saishivaniv / Heart-Attack-Prediction-Final-project

Tanmoy9563 / Treue_Technologies

VishalP227 / uci-mushroom-dataset

alaminbhuyan / Machine-Learning-Metrics

ashishyadav24092000 / Accuracy_confusionMAtrix_logisticRegression

AvaACook / Bank_Fraud_Predictive

FelipenerySilva / Grain-Yield--Linear-Model-Selection-and-Regularization

pramodyasahan / model-selection

Vaishnavicodes / Flight-Delay-Analysis