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This article introduces the science behind k-fold cross validation & its use in simple terms and explains its implementation in Python
SAS vs R vs Python have similar abilities and have its own importance. This infographic describes the best tool to be used in the analytics industry.
Boosting is a powerful tool in machine learning. Learn the commonly used boosting algorithms Ada Boost, Gradient Boost, Gentle Boost, Brown boost.
This infographic show best resources to learn python for data science. These resources are most useful to practice and learn python quickly.
The article features ways to perform data visualization in python with exclusive libraries matplotlib and seaborn for visualization.
Ultimate guide to create data visualization and resources for understanding various data visualization methods used in graphs, charts, heatmap, box plot etc
This article lists various curated videos from PyCon Montreal 2015 workshops. These videos help to learn Python, Pandas, Hadoop, data analytics, Spark, etc.
This article list various curated videos from PyCon Montreal 2015 workshops. These videos help to learn Python, Pandas, Hadoop, data analytics, Spark, twitter analysis.
This article is the ultimate guide to data exploration in Python using NumPy, Seaborn, Matplotlib and Pandas in iPython comprehensively.
Subject extraction in text mining is tougher than sentiment analysis. Google API can help us build generalized subject dictionary to perform this mining.
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