Python pip Tips for Data Scientists
Data Scientists use to work with Anaconda Environments and for installing packages they use to run the “conda” commands. However,
Unix Sed Command Tutorial with Examples
Sed (stream editor) is a very powerful tool for parsing and transforming text that was developed back in 1973 at
Cryptocurrency Trading Strategy by Detecting the Leaders and the Followers
Introduction First of all, I need to clarify there is no trading strategy without risk and no trading strategy can
How to Find Similar Documents using N-grams and Word Embeddings
Introduction A very common task in NLP is to define the similarity between documents. Usually, the metric is the Cosine
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
