Tableau is a data visualization and analysis tool which is popular among the data science community.
For better understanding, differences between Tableau and other similar tools are provided below.
Z-Scores Explained with Examples: A Beginner's Guide
In this blog let us understand the basics of the Z-score. This is useful to know how the data is distributed.
Let us start.
Examples:
Dataset A is : 10, 12, 14, 16.
Dataset B is: 10, 200, 350, 600.
As you can see, both the mean of B (290) and the standard deviation of B (13) are higher than that of A.
Basics of Blockchain technology
Blockchain technology is popular these days. In this blog, let us understand some of the basic concepts.
What is blockchain?
Why do we need this blockchain?
How does blockchain ensure trust?
Who invented it?
When to use it?
When not to use it?
Let us start.
Feature Selection using sklearn
In this post, we will understand how to perform Feature Selection using sklearn.
- Dropping features which have low variance
- Dropping features with zero variance
- Dropping features with variance below the threshold variance
- Univariate feature selection
- Model based feature selection
- Feature Selection using pipeline
Feature Engineering for Machine Learning
In this post, let us explore:
- What is the difference between Feature Selection, Feature Extraction, Feature Engineering and Feature Learning
- Process of Feature Engineering
- And examples of Feature Engineering
Feature Selection: Filter method, Wrapper method and Embedded method
In this post, let us explore:
- What is feature selection?
- Why we need to perform feature selection?
- Methods
Naïve Bayes classification model for Natural Language Processing problem using Python
In this post, let us understand how to fit a classification model using Naïve Bayes (read about Naïve Bayes in this post) to a natural language processing (NLP) problem.
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