Understanding Categorical Data | What is Categorical Data?
Feature engineering is a crucial step in building a performant machine learning model. Understanding categorical variables and encoding those variables with the right encoding techniques is paramount during the data cleaning and...
Top 10 Uses of Python in Real World with Examples
Ever since it was created in 1991 by Guido Van Rossum, Python has evolved and adapted to new technologies and today, it is one of the most popular programming languages. The uses...
Pandas Cheat Sheet | Python Pandas Cheat Sheet
Pandas is one of the most popular packages in Python. It is widely used for data manipulation, data cleaning and wrangling. Panda’s package comes up with multiple feature-rich functions and options which...
Understanding Latent Dirichlet Allocation (LDA)
Contributed by: Arun K Sharma
Imagine a large law firm takes over a smaller law firm and tries to identify the documents corresponding to different types of cases...
Linear Discriminant Analysis or LDA in Python
Contributed by: Rahul Singh LinkedIn Profile: https://www.linkedin.com/in/rahul-singh-3b213117/
Linear Discriminant AnalysisWhy do we need to reduce dimensions in a data set?How to deal...
