TrilokiDA/Data-pre-processing

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.

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leffff/waveml

Open source machine learning library with various machine learning tools

Language: Python - Size: 70.3 KB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1

sushant1827/Creating-Customer-Segments

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

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paraglondhe098/bigmart-sales-prediction

Implemented Xgboost model with optimum hyperparameters to predict sales in a BigMart mall.

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Shriram-Vibhute/RealEstateForecast-Price-Prediction-System

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

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coco11563/Traceable_Automatic_Feature_Transformation_via_Cascading_Actor-Critic_Agents

Code for <Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents>

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asayem172153/Machine-Learning-related-works

Here I have Demonstrated Some of my Machine Learning works

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EndlessSora/TSIT

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

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gupta-astha/Data-Science-projects

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ashishyadav24092000/FULL-Feature-Transformations

In this project we have performed all types of feature transfromation on the titanic dataset and we have seen the usage of qqplot to check whether a feature is normal/gaussian distributed or not.

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zainab-rizwan/Airbnb-Price-Recomendation-System

Airbnb price prediction with machine learning models using Amsterdam dataset.

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lmego/customer_segments

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

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paliwalabhishek/AutoEncoder

Implementation of the stacked autoencoder in Tensorflow

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Faisal-AlDhuwayhi/Identify-Customer-Segments

Identifying Customer Segments using unsupervised learning techniques

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pszwed-ai/fcm_classifier_transformer

This repository contains source code to the article: Piotr Szwed: Classification and feature transformation with Fuzzy Cognitive Maps, Applied Soft Computing, Elsevier 2021

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Sabbir185/Machine-learning-with-python

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airsmed-aiiv/TSIT

TSIT implementation in TensorFlow; TSIT: A Simple and Versatile Framework for Image-to-Image Translation

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srikanthv0610/House_Price_Prediction

Using the dataset compiled by Dean De Cock. Applying Feature Transformation, Feature Selection and K-fold Cross Validation

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Machine-Learning-Tubes/stage-1-feature-engineering

Tahap 1 Tugas Besar - data preprocessing pada dataset Telco Customer Churn

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davpinto/mmlbh-feature-engineering

Feature engineering in machine learning

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risarora/ML_recipes.md

A collection of working snippets used for machine learning related tasks.

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gouravaich/creating-customer-segments

Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data

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