Create Stunning Visualizations With Pandas Dataframes in One Line of Code
The default Pandas plots use Matplotlib backend. But with this trick, we can create more beautiful and advanced charts such as surface and bubble charts.
How to Run SQL Queries on Pandas Data Frames?
Most data scientists are comfortable with SQL than pandas data operations. But you can query pandas data frames as you do with SQL databases.
Machine Learning vs. Artificial Intelligence: What’s the Difference?
Machine learning is one of the subfields of Artificial Intelligence. It refers to the process of getting a computer to learn from data without being explicitly programmed.
In the 8 Key MLOps Roles, Where Do You Fit In?
Large-scale data science teams can have several distinct roles & responsibilities to manage machine learning operations.
Welcome to the Age of Citizen Data Scientists
Data science has been democratized for the most part. AI is now mainstream! Here’s how you can become a citizen data scientist.
Transfer Learning: The Highest Leverage Deep Learning Skill You Can Learn
Transfer learning is an amazing way to speed up deep learning training. It helps solve complex problems with pre-existing knowledge.
The #1 Mistake Companies Make When Creating Their Data Science Foundation
85 % of data science projects fail because companies are obsessed with complex models such as deep learning. Simple models often can solve their problems.
How to Improve Data Quality With Data Quality Assessment?
Here are the six data quality dimensions and how to use continuous data quality assessments in your business.
How to Evaluate if Deep Learning Is Right For You?
Deep learning has several advantages over other machine learning methods. But not always.
How I Create Dazzling Dashboards Purely in Python.
Plotly dash apps are the fastest way to build production-grade dashboards in python.