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Tag: Data Science

An overview of feature selection strategies

Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true … More

Data Science, Machine Learning, Regression

Feature Engineering with Tidyverse

In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for … More

Crimes, Data Science, Kaggle, Machine Learning, San Francisco

Yet another introduction to Neural Networks

There are many great tutorials on neural networks that one can find online nowadays. Simply searching for the words “Neural Network” … More

Data Science, Machine Learning, MNIST, Neural Networks

Stacking models for improved predictions

If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models … More

Data Science, Kaggle, Regression

Data Science Links

  • Kaggle
  • R Bloggers
  • Data Science Central
  • Open Data Science Conference
  • KDNuggests

Recent Posts

  • Pancake: A Python package for model stacking
  • An overview of feature selection strategies
  • Time series classification with Tensorflow
  • Machine learning for alchemy
  • Feature Engineering with Tidyverse

Recent Comments

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Archives

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Categories

  • convolutional neural networks
  • deep learning
  • High dimensional data
  • Machine Learning
  • Physics
  • Python
  • recurrent neural networks
  • Regression Models
  • Time-series
  • web scraping
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