Choose category:
How to Prevent Overfitting in Neural Networks with TensorFlow 2.0
In this post, we will provide some techniques of how you can prevent overfitting in Neural Network when you work
Get Started with Tensorflow 2.0 and CNN
In this tutorial we will show how you easily build a Convolutional Neural Network in Python and Tensorflow 2.0. We
How to Compare Nested Models in R
Using R and the anova function we can easily compare nested models. Where we are dealing with regression models, then
10 Tips And Tricks For Data Scientists Vol.7
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In case you have
Get Started with OpenCV
In this post, we will provide some examples of what you can do with OpenCV. Blending Images in OpenCV We
How to Generate Correlated Data in R
Sometimes we need to generate correlated data for exhibition purposes, technical assessments, testing etc. We have provided a walk-through example
How to Get the Power of Test in Hypothesis Testing with Binomial Distribution
In this tutorial we will show how you can get the Power of Test when you apply Hypothesis Testing with
ARIMA Model in Python
ARIMA is one of the most popular statistical models. It stands for AutoRegressive Integrated Moving Average and it’s fitted to
How to Check if a File or a Directory exists in R, Python and Bash
When we build Data Workflows and Machine Learning Pipelines, it is common to check for the existence of specific files
10 Tips And Tricks For Data Scientists Vol.6
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In
Docker Storage Tutorial
Docker has two main categories of data storage, the persistent and the non-persistent. Persistent Data Storage Persistent data storage are
How to Write Interactive Python Scripts
Examples of how you can write scripts taking input from users and/or standard input Functions With Users Input In Python Below we
Document Similarity with Synsets and Path Similarity
We will provide an example of how you can define similar documents using synsets and the path similarity. We will
Example of Machine Translation in Python and Tensorflow
We will build a deep neural network that functions as part of an end-to-end machine translation pipeline. The completed pipeline
Time Series Decomposition in Python
Time series decomposition is a technique that splits a time series into several components, each representing an underlying pattern category, trend,
Tutorial: Control Flow in Bash Scripting
In this tutorial we will provide basic examples of the conditional statements in bash scripting. Passing Variables to Scripts via
Pandas Dataframes Basics: Reshaping Data
In this series of posts, we will show you the basics of Pandas Dataframes which is one of the most
Anna Karenina Principle in Data Science
Anna Karenina novel begins with the quote: All happy families are alike; each unhappy family is unhappy in its own
10 Tips And Tricks For Data Scientists Vol.5
We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In
How to Run your first Airflow DAG in Docker
We have how to start running Airflow in Docker, in this post we will provide an example of how you
How to Resample Data by Group In Pandas
Sometimes when we are working on machine learning projects, there are some factors that can have a huge impact on
