6 Open Source Data Science Projects for Boosting your Resume
Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from …
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A Beginner’s Guide to matplotlib for Data Visualization and Exploration in Python
matplotlib – The Most Popular Python Library for Data Visualization and Exploration I love working with matplotlib in Python. It was the first visualization …
Sports Analytics – Generating Actionable Insights using Cricket Commentary
Overview What is sports analytics? What are the different use cases of sports analytics? We answer these questions here Understand how sports analytics can …
MongoDB in Python Tutorial for Beginners (using PyMongo)
Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB …
How to use loc and iloc for Selecting Data in Pandas (with Python code!)
What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python …
Everything you Need to Know About Scikit-Learn’s Latest Update (with Python Implementation)
Introduction Scikit-learn is one Python library we all inevitably turn to when we’re building machine learning models. I’ve built countless models using this wonderful …
How to Join Multiple Dataframes in Python
The Challenge of Merging Multiple Dataframes in Python Here’s a scenario that trips up almost every fresher and aspiring data scientist: You are working …
5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist
Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of …
Fundamentals of Deep Learning – Activation Functions and When to Use Them?
Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep learning Code activation functions …
Build your first Machine Learning pipeline using scikit-learn!
Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for …
