Topic: modelselection Goto Github
Some thing interesting about modelselection
Some thing interesting about modelselection
modelselection,A project to predict the average prices of Avocado in USA.
User: abhijitshow07
modelselection,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.
User: alairdata
modelselection,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.
User: alairdata
modelselection,
User: alaminbhuyan
modelselection,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.
User: anithanaidu33
modelselection,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.
User: anjalisilva
Home Page: https://academic.oup.com/bioinformatics/article/39/5/btad167/7108770?login=false
modelselection,Multi Linear Regression Assignment - 5
User: arif-rehman
modelselection,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 .
User: ashishyadav24092000
Home Page: https://github.com/ashishyadav24092000/Accuracy_confusionMAtrix_logisticRegression
modelselection,Open Machine Learning course at MIPT
User: ashot-gimishyan
modelselection,Model to predict fraudulent bank applications using a large Kaggle dataset
User: avaacook
modelselection,SARIMAX model for forecast traffic volume
User: bhanukad610
modelselection,A dredge function to select the best models through an exhaustive combination of parameters.
User: chrisborges
modelselection,Annual Income Prediction Using Machine Learning
User: d-kn
modelselection,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.
User: dineshkumar56
modelselection,
User: fabiusspop
modelselection,Multiple Linear Regression, Subset selection and Model Regularisation to determine which soil nutrients are most important in determining grain yield.
User: felipenerysilva
modelselection,Predicting compressive strength of concrete using machine learning models with featurization and Hyper parameter tuning
User: harishanmugavelu
modelselection,Machine Learning Projects learning and Practicing
User: imran789924
modelselection,Predicting the price of a football player using Machine Learning Algorithms
User: indradhar
modelselection,Determine a Prototype from a number of runs of Latent Dirichlet Allocation.
User: jonasrieger
modelselection,ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.
User: keerthiraj-nagaraj
modelselection,Amazon employee data to predict approval/ denial
User: kpsijil2
modelselection,Predicting whether or not a cell has cancer.
User: kpsijil2
modelselection,The aim of this project is to predict fraudulent credit card transactions using machine learning models.
User: manujbsharma
modelselection,Check my projects related to ML feature engineering and modeling.
User: marcosbeliera
modelselection,This Project is about to identify if a person's back pain is abnormal or normal using collected physical spine details/data.
User: meenujha
modelselection,Integrated robust and reliable ML Pipelines for Research and Production environment
User: mvmukesh
modelselection,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.
User: pankjsalunkhe
modelselection,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.
User: pramodyasahan
modelselection,Linear Regression Models on Montesinho Forest Fire
User: rlaehddo
modelselection,A web application that employs machine learning models to provide accurate and instant car price estimations based on various features and specifications.
User: saishivaniv
modelselection,Multiple Disease Prediction System using Machine Learning.
User: samagra44
Home Page: https://multiplepredictionapp-213.streamlit.app/
modelselection,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
User: sghosh89
Home Page: https://doi.org/10.1016/bs.aecr.2020.01.003
modelselection,This is about Treue Technologies Data science Internship tasks.
User: tanmoy9563
modelselection,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%.
User: telrich
modelselection,An R package for regularized weight based SCA and PCA
User: trbknl
modelselection,Flight Analysis - Flight Delay
User: vaishnavicodes
modelselection,Machine Learning project based on UCI mushroom dataset
User: vishalp227
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