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feature-transformation

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

Star 10

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 / RealEstateForecast-Price-Prediction-System

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 Dec 5, 2024
  • 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

swethagss / Predictive-Model-for-Real-Estate-Price-Prediction

Star 0

This project aims to predict property prices using advanced regression techniques, providing accurate estimations based on input features. By leveraging machine learning algorithms, this project enables data-driven insights into real estate pricing trends, helping stakeholders make informed decisions.

data-preprocessing feature-engineering regression-models feature-transformation ensemble-machine-learning
  • Updated Oct 16, 2024
  • Jupyter Notebook

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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