Intermediate

Gradient Boosting Algorithm | Gradient Boosting In R

Gradient boosting is used for improving prediction accuracy. This tutorial explains the concept of gradient boosting algorithm in r with examples.

Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed

Knn algorithm is a supervised machine learning algorithm. In this article learn the concept of kNN in R and knn algorithm examples with case study.

This article highlights the concept of cross selling and upselling using a case study. Definition, cross-sell process, strategy is discussed

Bokeh is a Python library for interactive visualization that targets web browsers for representation.

Using python, here's a data scientist hack to automate the search for meetup groups in local area using multiple python libraries and API

Regression techniques are the popular statistical techniques used for predictive modeling. Learn common types of regression techniques.

Cheat sheet for creating data visualizations in R – Histogram, Bar Chart, Line chart, box plot, scatter plot, mosaic plot, heat map, correlogram

This guide explains the concepts, applications, limitations, formula calculations, vector space of content based recommender system.

Here is a collection of top best data science, machine learning, neural networks, deep learning videos on youtube with their summary from experts.