India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
An introduction to online machine learning algorithms to handle huge data. In this article learn about how online learning differs from batch learning.
This article discusses performance metrics (Concordance, AUC-ROC, Gini coeff) to evaluate the performance of classification models & their advantages.
This article discusses metrics & plots (Confusion, Gain, Lift & K-S) to evaluate the performance of classification models & their advantages
Merging or Joining is one of the most common steps in data preparation. This article introduces merging in SAS and SAS merge datasets.
Scikit-learn is a powerful Python library for machine learning & predictive modeling. This scikit learn tutorial gives an overview of scikit learn in python
It is the best time to be on Kaggle than ever before. We provide a simple framework & tips to get you started on a Kaggle competition
Caret package in R provides the tools for building predictive models in R. In this tutorial learn the basics of the Caret package using a dataset in R.
Here are some new data science trends you should know. In this article learn about the trending data science topics of 2015.
Best data Science projects to help learn data science. This article provides some projects on data science to understand the concept of data science.
Support vector machines are very effective. This article explains about the svm classification algorithm, its working and its uses.
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