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This article discusses performance metrics (Concordance, AUC-ROC, Gini coeff) to evaluate the performance of classification models & their advantages.
Analytics Vidhya launches a learning path for qlikview data visualization, which enables qlikview starters to learn and become qlikview experts.
Decision Trees are one of the most commonly used predictive modeling technique. They can be very effective in data exploration & imputations
Analytics Vidhya launches our first learning path - Data Science in Python. Learning paths are aimed to help you learn data science with out confusion.
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.
Image processing and feature selection can be tricky. This article teaches the basics of Python image processing and image feature extraction using Python.
Scikit-learn is a powerful Python library for machine learning & predictive modeling. This scikit learn tutorial gives an overview of scikit learn in python
Here at Analytics Vidhya, you will get complete information on data science, big data technology, business analytics and more from analytics professionals.
Python has a good collection of image processing libraries. In this article learn the basics of image processing in python with examples.
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