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Object Detection with Rekognition on Images
We will provide an example of how you can get the image labels using the AWS Rekognition. If you are
Example of Celebrity Rekognition with AWS
Rekognition with Console Amazon Rekognition gives us the chance to recognize celebrities in images and videos. For our example, I
A Basic Introduction to Boto3
In a previous post, we showed how to interact with S3 using AWS CLI. In this post, we will provide
ggplot2 In Python using Plotnine
If you are familiar with ggplot2 in R, you know that this library is one of the best-structured ways to
Hack: The ‘[‘ in R lists
Assume that you have a list and you want to get the n-th element of each component or generally to
Hack: The “count(case when … else … end)” in dplyr
When I run quires in SQL (or even HiveQL, Spark SQL and so on), it is quite common to use
Hack: How to Install and Load Packages Dynamically
When we share an R script file with someone else, we assumed that they have already installed the required R
ANOVA vs Multiple Comparisons
When we run an ANOVA, we analyze the differences among group means in a sample. In its simplest form, ANOVA
Hack: How to Create files from Jupyter
Sometimes, while working with the Jupyter notebook you need to create a file, like a .py file. Today we will
How to Interact with S3 using AWS CLI
At this post, I gather some useful commands/examples from AWS official documentation. I believe that the following examples are the
How to Run Sentiment Analysis in Python using VADER
Words Sentiment Score We have explained how to get a sentiment score for words in Python. Instead of building our
How to create Bins in Python using Pandas
We will show how you can create bins in Pandas efficiently. Let’s assume that we have a numeric variable and
How to get Data from Different Sources in R
The data that we want to get could be in different places and in different formats. We will provide some
Hack: How to Convert all Character Variables to Factors
Let’s say that we want to convert all Character Variables to Factors and we are dealing with a large data
Feature Selection in Python
We will provide a walk-through example of how you can choose the most important features. For this example, we will
How to Convert Continuous variables into Categorical by Creating Bins
A very common task in data processing is the transformation of the numeric variables (continuous, discrete etc) to categorical by
Decision Boundary in Python
Definition of Decision Boundary In classification problems with two or more classes, a decision boundary is a hypersurface that separates
The fastest way to Read and Write files in R
Compare Read and Write files time When we are dealing with large datasets, and we need to write many csv
How to Connect R with SQL
Need to Connect R with SQL It is common for Data Analysts/Scientists to connect R with SQL. For that reason,
Document Letter Frequency in Python
Letter Frequency We will provide you a walk-through example of how you can easily get the letter frequency in documents
Multi-Armed Bandit with Thompson Sampling
Few words about Thompson Sampling Thompson Sampling is an algorithm for decision problems where actions are taken in sequence balancing
