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Tutorials

r programming

Data Frames in R

This tutorial takes course material from DataCamp's Introduction to R for Finance course and allows you to practice Data Frames.
Ryan Sheehy
October 15th, 2018
r programming
4
4
ggplot2
+1

Facets for ggplot in R

In this tutorial, you'll learn how to make the most of ggplots facetting functions.
Luke Hayden
October 12th, 2018
ggplot2
+1
6
6
machine learning
+2

Machine Learning Black Friday Dataset

In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.
Rohit Peesa
October 11th, 2018
machine learning
+2
25
25
python
+3

Using PostgreSQL in Python

In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.
Samip Kartha
October 10th, 2018
python
+3
9
9
r programming
+1

Bootstrap in R

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.
Łukasz Deryło
October 9th, 2018
r programming
+1
10
10
data manipulation
+1

Latent Semantic Analysis using Python

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.
Avinash Navlani
October 9th, 2018
data manipulation
+1
10
10
r programming

Subsetting Datasets in R

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!
Tom Jeon
October 8th, 2018
r programming
8
8
must read
data analysis
+2

Contingency Analysis using R

In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.
Vedabrata Basu
October 5th, 2018
must read
data analysis
+2
33
33
data manipulation
+2

Diving Deep with Imbalanced Data

Learn the techniques to deal with an imbalanced dataset.
Sayak Paul
October 4th, 2018
data manipulation
+2
12
12
must read
data analysis
+1

Social Network Analysis in Python

Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks.
Amita Kapoor
October 2nd, 2018
must read
data analysis
+1
25
25
importing & cleaning data
+1

Using Regular Expressions to Clean Strings

This tutorial takes course material from DataCamp's Cleaning Data in Python course and allows you to clean strings using regular expressions.
Ryan Sheehy
September 28th, 2018
importing & cleaning data
+1
5
5
must read
python
+2

Demystifying Crucial Statistics in Python

Learn about the basic statistics required for Data Science and Machine Learning in Python.
Sayak Paul
September 27th, 2018
must read
python
+2
41
41
r programming
+3

Factor Levels in R

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
Ryan Sheehy
September 27th, 2018
r programming
+3
11
11
r programming
+3

Creating a List in R

Practice Lists in R by using course material from DataCamp's Intro to R course.
Ryan Sheehy
September 27th, 2018
r programming
+3
7
7
business
+1

Introduction to Customer Segmentation in Python

In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python.
Avinash Navlani
September 26th, 2018
business
+1
21
21
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