feature-transformation

There are 2 repositories under feature-transformation topic.

EndlessSora / TSIT
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
generative-adversarial-network gan image-to-image-translation image-generation image-manipulation two-stream-networks versatile feature-transformation multi-scale style-transfer multi-modal semantic-image-synthesis eccv2020
Language:Python 274
leffff / waveml
Open source machine learning library with various machine learning tools
stacked-predictions linear-transformations weighted-averages stacking ensemble categorical-encoding feature-transformation
Language:Python 12
kaledhoshme123 / Multi-Scale-CycleGAN-Night-to-Day
Converting night into day is one of the most interesting applications in generative models, due to the great difficulty in recreating the scene during the day, especially in cases of extreme darkness, and thus the difficulty lies in imagining the scene during the day when the lighting is very weak.
cnn convolutional-neural-networks cycle-gan cyclegan feature-transformation gan generative-adversarial-network image-to-image-translation night-to-day u-net unet
Language:Jupyter Notebook 8
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
fuzzy-cognitive-maps classification feature-transformation
Language:Python 8
lmego / customer_segments
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
biplot clustering clustering-algorithm creating-customer-segments dimensionality-reduction feature-scaling feature-transformation gaussian-mixture-models machine-learning outlier-detection pca scatter-matrix udacity udacity-nanodegree unsupervised-learning
Language:HTML 6
davpinto / mmlbh-feature-engineering
Feature engineering in machine learning
feature-engineering feature-extraction feature-selection tsne pca autoencoder knn random-forest feature-transformation machine-learning dimensionality-reduction
Language:R 5
coco11563 / Traceable_Automatic_Feature_Transformation_via_Cascading_Actor-Critic_Agents
Code for <Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents>
actor-critic feature-engineering feature-transformation reinfrocement-learning
Language:Python 3
airsmed-aiiv / TSIT
TSIT implementation in TensorFlow; TSIT: A Simple and Versatile Framework for Image-to-Image Translation
generative-adversarial-network gan image-to-image-translation image-generation image-manipulation two-stream-networks versatile feature-transformation multi-scale style-transfer multi-modal semantic-image-synthesis eccv2020 versatile-framework image-translation tensorflow2 tensorflow-implementations
Language:Python 2
paliwalabhishek / AutoEncoder
Implementation of the stacked autoencoder in Tensorflow
stack-autoencoders fashion-mnist itl quadratic-mutual-information-loss entropy information-potential mututal-information-feature-transformation
Language:Python 2
Ansu-John / MLlib-Working-with-Features
Extracting, transforming and selecting features using Spark MLlib
spark pyspark pyspark-mllib feature-extraction feature-selection feature-transformation python3
Language:Jupyter Notebook 1
Faisal-AlDhuwayhi / Identify-Customer-Segments
Identifying Customer Segments using unsupervised learning techniques
clustering dimensionality-reduction feature-scaling feature-transformation identifying-customer-segments jupyter-notebook k-means machine-learning pca population principal-component-analysis scikit-learn sklearn udacity-machine-learning-nanodegree udacity-nanodegree unsupervised-learning unsupervised-learning-algorithms
Language:Jupyter Notebook 1
Machine-Learning-Tubes / stage-1-feature-engineering
Tahap 1 Tugas Besar - data preprocessing pada dataset Telco Customer Churn
python3 jupyter-notebooks machine-learning pca feature-engineering feature-extraction feature-selection feature-transformation
Language:Jupyter Notebook 1
ManarAlharbi / DSND-Term1-Identify_Customer_Segments
Apply unsupervised learning techniques to identify customers segments.
udacity-data-science-nanodegree unsupervised-learning machine-learning-algorithms cluster identify-customers-segments imputation standardscaler missing-data-imputation missing-data feature-engineering onehotencoder feature-transformation feature-scaling dimensionality-reduction principal-component-analysis clustering-algorithm kmeans-clustering
Language:HTML 1
moreirab / customer-segments
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
udacity-machine-learning-nanodegree udacity udacity-nanodegree customer-segments customer-segmentation unsupervised-learning clustering-algorithm pca principal-component-analysis feature-scaling feature-transformation dimensionality-reduction biplot clustering data-visualization data-recovery k-means-clustering gmm gaussian-mixture-model segmentation
Language:HTML 1
risarora / ML_recipes.md
A collection of working snippets used for machine learning related tasks.
gaussian-mixture-models machine-learning unsupervised-learning clustering clustering-algorithm dimensionality-reduction pca box-plot feature-transformation outlier-detection feature-scaling scatter-matrix creating-customer-segments
Language:Jupyter Notebook 1
zainab-rizwan / Airbnb-Price-Recomendation-System
Airbnb price prediction with machine learning models using Amsterdam dataset.
data-cleaning-and-preprocessing data-mining feature-engineering feature-transformation jupyter-notebook linear-regression machine-learning machine-learning-algorithms python random-forest
Language:Jupyter Notebook 1
ashva7 / customer_segments
Customer Segments - Machine Learning Nanodegree from Udacity
machine-learning machine-learning-algorithms udacity udacity-nanodegree udacity-machine-learning-nanodegree unsupervised-learning unsupervised-machine-learning clustering gaussian-mixture-models k-means k-means-clustering outlier-detection pca pca-analysis feature-transformation biplot dimensionality-reduction scatter-matrix heatmap customer-segments
Language:HTML 0
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
udacity udacity-nanodegree udacity-machine-learning-nanodegree machine-learning machine-learning-algorithms unsupervised-learning unsupervised-learning-algorithms creating-customer-segments feature-scaling outlier-detection outlier-removal feature-transformation pca dimensionality-reduction biplot clustering clustering-algorithm k-means gmm
Language:Jupyter Notebook 0
magnusax / BinaryEncoder
Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion
binary-encoder scikit-learn-api feature-transformation categorical-data machine-learning
Language:Python 0
OmerGamie / sfguide-intro-to-machine-learning-with-snowpark-ml-for-python-main
dataingestion feature-transformation mlflow model-training python3 snowpark
Language:Jupyter Notebook 0
srikanthv0610 / House_Price_Prediction
Using the dataset compiled by Dean De Cock. Applying Feature Transformation, Feature Selection and K-fold Cross Validation
data-science feature-extraction feature-transformation house-price-prediction k-fold-cross-validation linear-regression
Language:Python 0
asayem172153 / Machine-Learning-related-works
Here I have Demonstrated Some of my Machine Learning works
encoding feature-engineering feature-transformation hyperparameter-tuning knn language-processing linear-regression nlp sigmoid-function spam-email-detection
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.
boxcox feature-engineering feature-transformation gaussian-distribution histogram logarthmic-distribution normalization qqplots standardization
Language:Jupyter Notebook
gupta-astha / Data-Science-projects
bivariate-analysis data-analysis data-analysis-python exploratory-data-analysis feature-transformation jupyter-notebook numpy pandas python-3 univariate-analysis
Language:Jupyter Notebook
kengz / feature_transform
Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.
column-transformer dask-ml dataset feature-engineering feature-transformation machine-learning scikit-learn
Language:Python
rkraut81 / EDA-and-Feature-Engineering
This repository contains all the EDA done on various data sources as well as Feature Engineering
onehot-encoding feature-scaling feature-transformation variate-selection
Language:Jupyter Notebook
Sabbir185 / Machine-learning-with-python
supervised-machine-learning unsupervised-machine-learning linear-regression decision-tree confusion-matrix r-square-values random-forest neural-network k-means-clustering multi-layer-perceptron feature-engineering feature-transformation k-nearest-neighbors elbow-method
Language:Jupyter Notebook
sushantdhumak / Creating-Customer-Segments
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor
unsupervised-machine-learning data-exploration data-visualization seaborn data-preprocessing feature-scaling outlier-detection iqr feature-transformation principal-component-analysis dimensionality-reduction biplot clustering gaussian-mixture-models log-transformation
Language:Jupyter Notebook

feature-transformation

EndlessSora / TSIT

leffff / waveml

kaledhoshme123 / Multi-Scale-CycleGAN-Night-to-Day

pszwed-ai / fcm_classifier_transformer

lmego / customer_segments

davpinto / mmlbh-feature-engineering

coco11563 / Traceable_Automatic_Feature_Transformation_via_Cascading_Actor-Critic_Agents

airsmed-aiiv / TSIT

paliwalabhishek / AutoEncoder

Ansu-John / MLlib-Working-with-Features

Faisal-AlDhuwayhi / Identify-Customer-Segments

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

ManarAlharbi / DSND-Term1-Identify_Customer_Segments

moreirab / customer-segments

risarora / ML_recipes.md

zainab-rizwan / Airbnb-Price-Recomendation-System

ashva7 / customer_segments

gouravaich / creating-customer-segments

magnusax / BinaryEncoder

OmerGamie / sfguide-intro-to-machine-learning-with-snowpark-ml-for-python-main

srikanthv0610 / House_Price_Prediction

asayem172153 / Machine-Learning-related-works

ashishyadav24092000 / FULL-Feature-Transformations

gupta-astha / Data-Science-projects

kengz / feature_transform

rkraut81 / EDA-and-Feature-Engineering

Sabbir185 / Machine-learning-with-python

sushantdhumak / Creating-Customer-Segments