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Gradient boosting is used for improving prediction accuracy. This tutorial explains the concept of gradient boosting algorithm in r with examples.
This article has the best presentations on slideshare in data science, machine learning, deep learning, neural network and data science.
This article explains the use of forward selection techniques in ensemble modeling using R programming with a careful attempt to avoid overfitting
Bokeh is a Python library for interactive visualization that targets web browsers for representation.
Cheat sheet for creating data visualizations in R - Histogram, Bar Chart, Line chart, box plot, scatter plot, mosaic plot, heat map, correlogram
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.
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.
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
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