Topic: categorical-encoding Goto Github
Some thing interesting about categorical-encoding
Some thing interesting about categorical-encoding
categorical-encoding,Weight of Evidence Encoding & Information Value
User: albertusk95
categorical-encoding,Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
User: arunsinghbabal
categorical-encoding,The project uses Artificial Neural Network and Convolutional Neural Network to classify images into 10 different categories.
User: ashinianantharaman
Home Page: https://ashinianantharaman.github.io/Image_classification_of_CIFAR10_dataset/
categorical-encoding,Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
Organization: cpa-analytics
categorical-encoding,
User: davityak03
categorical-encoding,Code templates for different ML algorithms
User: dixitamol
categorical-encoding,Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!
User: ecvsgl
categorical-encoding,Stacked Classifier
User: ejaj
categorical-encoding,Encode Categorical Features based on Target/Class
User: gshashank84
categorical-encoding,Machine Learning Models
User: ivansaravanja2306
categorical-encoding,Open source machine learning library with various machine learning tools
User: leffff
categorical-encoding,The feature engineering techniques discussed are - dimensionality reduction(pca), scaling(standard scaler, normalizer, minmaxscaler), categorical encoding(one hot/dummy), binning, clustering, feature selection. These are techniques performed on a dataset consisting of Californian House Prices.
User: myliemudaliyar
categorical-encoding,This repo contains code for experimenting with categorical encoding - WoE, Catboost, Target encoder, and many more.
User: naquibalam
categorical-encoding,Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
User: navindafernando
categorical-encoding,Intermediate Machine Learning Course By Kaggle
User: niharjani2002
Home Page: https://www.kaggle.com/learn/intermediate-machine-learning
categorical-encoding,Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
User: sayamalt
Home Page: https://e-commerce-category-prediction.streamlit.app/
categorical-encoding,🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦
User: subhayuroy
categorical-encoding,Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
User: venkat-a
categorical-encoding,Customer Churn Analysis
User: yashasvi863
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