India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
This application is designed to provide the best resources on internet to learn data science, data visualization, business analytics, big data
All the necessary resources to start data science journey as a data scientist. This includes laptop recommendation, newsletters, blogs & meetups
Regression techniques are the popular statistical techniques used for predictive modeling. Learn common types of regression techniques.
Explore content based recommender systems, their workings, applications, and limitations. Learn to build a recommender system step-by-step!
This article highlights the concept of cross selling and upselling using a case study. Definition, cross-sell process, strategy is discussed
Analytics & data science is used heavily to drive customer and merchant experience in e-Commerce. This article highlights several use cases.
List of discussions from Reddit on machine learning, python, neural networks, artificial intelligence, bigdata, statistics, tutorials are shown
Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
A tutorial to learn about the basics of ensemble learning and various ensemble learning techniques to improvise stability and predictive power of the model.
This article lists big data analytics tutorial videos on Youtube and TED talks covering Hadoop, Mapreduce, mongodb, hive, apache spark, flume
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