Topic: categorical-variables Goto Github
Some thing interesting about categorical-variables
Some thing interesting about categorical-variables
categorical-variables,A list of python notebooks for Machine learning basics- regression and classification.
User: aayush301
categorical-variables,A Machine Learning project to predict Customer Churn including all stages of a project life cycle from data procurement to deployment.
User: ab2207
categorical-variables,Feature Importance of categorical variables by converting them into dummy variables (One-hot-encoding) can skewed or hard to interpret results. Here I present a method to get around this problem using H2O.
User: abhmalik
categorical-variables,Creation of a binary classifier used to predict the success rate of applicants when funded by a specific company.
User: aryanakh7
categorical-variables,This python code shows howw regression is handled in case of categorical variables using duumies. It calculates the multiple regression code and shows the regression table. It also performs the residual analysis.
User: ashishyadav24092000
Home Page: https://github.com/ashishyadav24092000/MultipleLinearRegression_CategoricalVariables
categorical-variables,A set of gretl transformers for encoding categorical variables into numeric with different techniques
User: atecon
categorical-variables,Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
User: autoviml
categorical-variables,A library for the hyperparameter optimization of deep neural networks
Organization: bbopt
categorical-variables,ANOVA_diamonds_analysis
User: bgltn
categorical-variables,Machine learning tests
User: canuradha
categorical-variables,Opinionated statistical inference engine with fluent api to make it easier for conducting statistical inference with little or no knowledge of statistical inference principles involved
User: chen0040
categorical-variables,Data Munging, Data Wrangling and Data Preparation Simplified
Organization: cleverinsight
categorical-variables,Random Graphs, Random Matrices, FK Dependent Categorical, Galton-Watson
User: cobord
categorical-variables,The project involves the study of performance analysis of the missForest imputation method for imputing continuous and categorical variables simultaneously.
User: devosmitachatterjee2018
categorical-variables,Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Organization: fixedeffects
categorical-variables,Encode Categorical Features based on Target/Class
User: gshashank84
categorical-variables,How to deal with Missing Values, Categorical Variables, Pipelines, Cross-Validation, XGBoost, Data Leakage
User: gurnaiklall
categorical-variables,Set of functions based on ggplot2::ggplot() for optimising the visualization process of categorical variables.
User: ianaraujo
categorical-variables,This package provides functions to create descriptive statistics tables for continuous and categorical variables.
Organization: imbi-heidelberg
Home Page: https://imbi-heidelberg.github.io/DescrTab2/
categorical-variables,Repository of my projects for the BUS336 Course
User: jm53-sps
Home Page: https://youtu.be/rlJS_zUlJa4
categorical-variables,Types of Variables in Research: Numeric/Quantitative vs Categorical
User: jose-jpm-magalhaes
categorical-variables,Multiple methods to (quickly) encode factor variables, using data.table
User: jszitas
categorical-variables,A Deep Learning Project on "IMAGE DETECTION" using MNIST and FASHION MNIST datasets. We will be using many combinations of activation fucntions, loss and other normalization techniques to show how the accuracy improves if certain parameters are added to the netwrok and many such implementations.
User: kavilivishnu
Home Page: https://colab.research.google.com/drive/1Llyokqw8IBvqnGaIyjTU3OUnco49VZEC?usp=sharing
categorical-variables,This is a Kaggle task inspired notebook: exploring correlation + bonus trying ppscore package
User: macarenasev
categorical-variables,A function to run Bhapkar's test from Bhapkar (1968) 'On the analysis of contingency tables with a quantitative response' Biometrics, 24 (2): 329-38.
User: matt-wilder
categorical-variables,A simple library to calculate correlation between variables. Currently provides correlation between nominal variables.
Organization: mavericksds
Home Page: https://pypi.org/project/pycorr/
categorical-variables,Implementation of Naive Bayes algorithm for categorical data
User: msoczi
categorical-variables,
User: nikos-h
categorical-variables,This repository explores various techniques for handling categorical variables in data preprocessing, focusing on methods such as one-hot encoding, label encoding, and their applications in machine learning models.
User: nirmal2i43a5
categorical-variables,Bayesian Optimization for Categorical and Continuous Inputs
User: nphdang
categorical-variables,Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
User: pevicsanch
categorical-variables,This code demonstrates the basic end-to-end workflow of developing, training, and evaluating a deep artificial neural network classifier on a real-world classification problem involving preprocessing of categorical variables.
User: rezakhosravi72
categorical-variables,This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from kaggle.
User: sherylphilip
categorical-variables,Data Science Foundations I | Exploratory Data Analysis in Python | Summarizing Relationship Between Two Features
User: spacebakery
categorical-variables,This repo consists of the various practices and concepts that we come across in the domain of DS and ML
User: styles3544
categorical-variables,CUHK Course code: STAT 3011 | This course is designed to strengthen students' ability in statistical computing as well as in processing and analysing data. Students are required to participate in several term projects with emphasis on techniques of data management and analysis.
User: tyrus-yuen
categorical-variables,Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.
User: vaitybharati
categorical-variables,This Repo Contains Machine Learning Projects covering Supervised and Unsupervised ML algorithms. Contains solutions of various hackathon solutions (kaggle, AV , ineuron)
User: vigneshss-07
categorical-variables,vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
Organization: winvector
Home Page: https://winvector.github.io/vtreat/
categorical-variables,Source Code for Paper "Improving survey inference using administrative records without releasing individual-level continuous data"
User: zjg540066169
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