A Comprehensive Guide to Learn Swift from Scratch for Data Science
Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll …
Machine Learning
Mathematics behind Machine Learning – The Core Concepts you Need to Know
Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …
Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project
Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping …
Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub
Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – …
Become a Video Analysis Expert: A Simple Approach to Automatically Generating Highlights using Python
Overview Build your own highlights package in Python using a simple approach That’s right – learn how automatic highlight generation works without using machine …
Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!
Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on …
Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python
Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This …
The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few …
A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code
Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …
11 Important Model Evaluation Metrics for Machine Learning Everyone should know
Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …
