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feature-transformation

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

Star 9

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

Star 1

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

Shriram-Vibhute / House_Price_Prediction

Star 1

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.

python machine-learning random-forest numpy sklearn exploratory-data-analysis pandas matplotlib feature-engineering hyperparameter-tuning feature-transformation
  • Updated Aug 6, 2024
  • Jupyter Notebook

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

Star 0

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

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