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Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
This article lists big data analytics tutorial videos on Youtube and TED talks covering Hadoop, Mapreduce, mongodb, hive, apache spark, flume
Must watch data science videos from SciPy conference 2015 related to machine learning, data mining, data visualization in python, statistics have been listed here.
Data Science Competitions such as Kaggle competitions are illustrated with their difficulty level. Here are some useful tips to win them.
Beginners guide to data visualization in R. The article includes steps to create a heat map, mosaic map, bar chart, histogram, 3D graph for Data Visualization
Here is a collection of top best data science, machine learning, neural networks, deep learning videos on youtube with their summary from experts.
This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
Difference between causality and correlation is explained with examples. This article includes Cause-effect, observational data to establish difference.
This article lists python and r packages to integrate their use with MongoDB. Learn the basics explained here for several methods.
Learn why tuning machine learning algorithms is essential, explore Random Forests, their parameters and case studies for implementation.
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