10 matplotlib Tricks to Master Data Visualization in Python
Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to …
Decision Tree vs. Random Forest – Which Algorithm Should you Use?
A Simple Analogy to Explain Decision Tree vs. Random Forest Let’s start with a thought experiment that will illustrate the difference between a decision …
A Beginner’s Guide to Exploratory Data Analysis (EDA) on Text Data (Amazon Case Study)
The Importance of Exploratory Data Analysis (EDA) There are no shortcuts in a machine learning project lifecycle. We can’t simply skip to the model …
5 Popular Python Libraries to Perform Web Scraping
Take the Power of Web Scraping in your Hands The phrase “we have enough data” does not exist in data science parlance. I have …
How to Generate Random Numbers in Python?
The world is governed by chance. Randomness stalks us every day of our lives. …
5 Amazing Google Colab Hacks You Should Try Today!
Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to …
Free GPUs for Everyone! Get Started with Google Colab for Machine Learning and Deep Learning
Google Colab – Now Build Large Deep Learning Models on your Machine! “Memory Error” – that all too familiar dreaded message in Jupyter notebooks …
Introduction to Polynomial Regression (with Python Implementation)
Here’s Everything you Need to Get Started with Polynomial Regression What’s the first machine learning algorithm you remember learning? The answer is typically linear …
What are Lambda Functions? A Quick Guide to Lambda Functions in Python
Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to Python beginners but in …
Joins in Pandas: Master the Different Types of Joins in Python
Introduction to Joins in Pandas “I have two different tables in Python but I’m not sure how to join them. What criteria should I …
