Ehsan-Behzadi/Online-Retail-Data-Analysis-and-Preprocessing

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

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AutoViML/featurewiz

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.

Language: Python - Size: 10.6 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 638 - Forks: 95

chongjason914/scikit-learn-tutorial

Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library

Language: Jupyter Notebook - Size: 672 KB - Last synced at: 1 day ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 10

Ktrimalrao/Forest_fire_Algerian_ML-project

This project predicts the likelihood of forest fires in Algeria using machine learning regression techniques based on weather and environmental data. It includes EDA, feature engineering, and model deployment.

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maheera421/Car-Price-Prediction-Model

A machine learning project that predicts car prices based on a dataset.

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Logambal05/Term-Deposit-Subscription

This project uses predictive analytics to optimize marketing strategies by forecasting customer subscriptions to term deposits. It involves collecting and preprocessing data, training a model, and assessing its performance. Ongoing evaluation ensures adaptability to changing market dynamics, providing valuable insights for marketing analysis

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NabilahSharfina/Rakamin-Academy

Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

uzaymacar/exemplary-ml-pipeline

Exemplary, annotated machine learning pipeline for any tabular data problem.

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16danielvm/How-to-improve-the-accuracy-of-a-Regression-Model

This project shows a guide for improving the accuracy of regression model.

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tyui592/uncorrelated_feature_encoding_for_faster_style_transfer

Unofficial Pytorch Implementation of 'Uncorrelated feature encoding for faster style transfer'

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ankitdhadave/Predicting-Hotel-Booking-Cancellation-with-Machine-Learning

Predicting Hotel Booking Cancellation with Machine Learning

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LeventSoykan/Churn_Prediction

churn prediction using machine learning classification models

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JSzitas/categoryEncodings

Multiple methods to (quickly) encode factor variables, using data.table

Language: R - Size: 161 KB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

mahaV503/Obesity-Level-Prediction

Obesity severity level prediction based on different features.. these imp features are extracted then trained using polynomial regression

Language: Jupyter Notebook - Size: 299 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

tanishqgautam/Categorical-Feature-Encoding

Categorical Feature Encoding using Logistic Regression

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Selerity/blog-categorical-feature-encoding-classical

SAS Macro examples for the Blog Post "5 Categorical Encoding Techniques in SAS"

Language: SAS - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0