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feature-transformation

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

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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 generative-adversarial-network gan convolutional-neural-networks unet feature-transformation cyclegan image-to-image-translation cycle-gan u-net night-to-day
  • Updated Oct 13, 2023
  • Jupyter Notebook

moreirab / customer-segments

Star 1

Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments

udacity clustering data-visualization pca dimensionality-reduction segmentation unsupervised-learning gmm gaussian-mixture-model udacity-nanodegree principal-component-analysis clustering-algorithm feature-scaling feature-transformation biplot data-recovery udacity-machine-learning-nanodegree k-means-clustering customer-segments customer-segmentation
  • Updated Jan 6, 2019
  • HTML

ManarAlharbi / DSND-Term1-Identify_Customer_Segments

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Apply unsupervised learning techniques to identify customers segments.

cluster machine-learning-algorithms imputation dimensionality-reduction missing-data feature-engineering unsupervised-learning principal-component-analysis clustering-algorithm kmeans-clustering feature-scaling feature-transformation udacity-data-science-nanodegree standardscaler missing-data-imputation identify-customers-segments onehotencoder
  • Updated May 23, 2020
  • HTML

sushantdhumak / Creating-Customer-Segments

Star 0

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

clustering data-visualization seaborn gaussian-mixture-models dimensionality-reduction outlier-detection data-preprocessing data-exploration principal-component-analysis feature-scaling feature-transformation biplot unsupervised-machine-learning iqr log-transformation
  • Updated Nov 2, 2019
  • Jupyter Notebook

ashva7 / customer_segments

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Customer Segments - Machine Learning Nanodegree from Udacity

machine-learning udacity clustering heatmap machine-learning-algorithms pca-analysis pca gaussian-mixture-models dimensionality-reduction outlier-detection k-means unsupervised-learning udacity-nanodegree scatter-matrix feature-transformation biplot udacity-machine-learning-nanodegree unsupervised-machine-learning k-means-clustering customer-segments
  • Updated Oct 15, 2018
  • HTML

gouravaich / creating-customer-segments

Star 0

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

machine-learning udacity clustering machine-learning-algorithms pca dimensionality-reduction outlier-detection k-means unsupervised-learning gmm udacity-nanodegree unsupervised-learning-algorithms clustering-algorithm creating-customer-segments feature-scaling feature-transformation biplot outlier-removal udacity-machine-learning-nanodegree
  • Updated Jul 26, 2018
  • Jupyter Notebook

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