Topic: target-encoding Goto Github
Some thing interesting about target-encoding
Some thing interesting about target-encoding
target-encoding,This repository contains pre-requisite notebooks of Feature Engineering Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.
User: dspocean
target-encoding,Encode Categorical Features based on Target/Class
User: gshashank84
target-encoding,A python machine learning library for advanced feature extraction and interpretation.
User: hiflyin
Home Page: https://pypi.org/project/feature-stuff/
target-encoding,A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)
User: johannaschmidle
Home Page: https://johannaschmidle.github.io/house.html
target-encoding,Creating a sophisticated web application for transaction analysis, incorporating ML, Bootstrap, Dash, and Plotly. Users can seamlessly upload credit card CSV files, exploring transactions interactively in both tabular and dashboard report formats.
User: kokolipa
target-encoding,A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
User: mustafahakkoz
target-encoding,This repo contains code for experimenting with categorical encoding - WoE, Catboost, Target encoder, and many more.
User: naquibalam
target-encoding,It contains the code and data for M5 Forecasting - Accuracy competition on Kaggle.
User: naquibalam
target-encoding,A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).
User: nikolay-lysenko
target-encoding,Materials from a paper/talk for Southeast SAS User Group Conference
User: nikolicxa
target-encoding,
User: paritoshkc
target-encoding,Life expectancy data processing
User: rafah91
target-encoding,Data preprocessing for machine learning modelling. Quantile transformation for the outliers removal, replacing NULLs with medians, using target encoder and Z-score standardisation for the numeric variables.
User: sadpepep
target-encoding,Прогнозирование рыночной стоимости автомобилей
User: schatzederwelt
target-encoding,It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achieve the Accuracy. I got a very Satisfiable Accuracy from the Model in both the Training and Testing Sets.
User: sharmaroshan
target-encoding,This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.
User: sharmaroshan
target-encoding,Final project for "How to win a data science competition" Coursera course
User: shrishailsgajbhar
target-encoding,HackerEarth Machine Learning challenge: Of Genomes And Genetics
User: toan01-uet
target-encoding,TCD ML Comp. 2019/20 - Income Prediction (Ind.)
User: vanshika97
target-encoding,Deployed model to predict total sales for every item and shop for the next month, from a time-series dataset consisting of daily sales data
User: vipinindkumar
Home Page: https://predict-future-sales.herokuapp.com/
target-encoding,Exploring categorical features with various encodings and models
User: vla6
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