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Hypothesis testing is data analysis technique which is used to to make inferences about the sample data from a larger population.
Learn how to build a predictive model. This article teaches ways to build predictive models by saving time during data modeling, data treatment analysis.
A list of data scientists to follow from across the world. The list includes scientists in research, data scientists turned entrepreneurs &
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
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