Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

Today, we’re going to look at 5 popular clustering algorithms that data scientists need to know and their pros and cons!

Learn how tensorflow or pytorch implement optimization algorithms by using numpy and create beautiful animations using matplotlib

This is the next blog in my random series on better understanding some of these advanced Artificial Intelligence and Deep Learning algorithms. This “episode” takes on Generative Adversarial Networks (GANs). Hope you enjoy my “Deep Learning” learning journey. I originally wrote in “Transforming from Autonomous to Smart: Reinforcement Learning Basics” how Reinforcement Learning was creating… Read More »How GANs and Adaptive Content Will Change Learning, Entertainment and More

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

Data science or whatever you want to call it is not just knowing some programming languages, math, statistics and have “domain knowledge” and here I show you why.

This article is an overview of data science in which we explore the data science universe and help you break down various elements involved

Looking for sentiment analysis companies or sentiment annotation tools? If so, you’ve come to the right place. This guide will briefly explain what sentiment analysis is, and introduce companies that provide sentiment annotation tools and services.

In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.

We provide an in-depth introduction to Random Forest, with an explanation to how it works, its advantages and disadvantages, important hyperparameters and a full example Python implementation.

Neural networks and deep learning

This article is part of an on-going series on NLP: Part 1, Part 2, Part 3, Part 4, Part 5. You can also read a reader-translated version of this article in 普通话 or فارسی. Giant update: I’ve written a…

[Image Source – Freepik] Ever wondered how most of the fastest-growing jobs in the tech sector today were not even existing a few years ago. It is surveyed that the employees are worried about the skill gap, which is restricting them from shifting to companies which offer better skill development initiative. Among all the hottest… Read More »Why Every Data Science Aspirant Should Learn Data Visualization

KDnuggets Poll: methods/algorithms did you use for data analysis in 2011?

Data Science, Machine Learning, AI & Analytics

Here’s the complete code: just copy and paste into a Jupyter Notebook or Python script, replace with your data and run: Code to visualize a decision tree and save as png (on GitHub here). The final result is a complete decision tree as an image. Decision Tree for Iris Dataset Explanation of code Create a […]

Data Scientists | Learn Machine Learning | AI Hacks | Prompt Engineering - VHTC

GitHub has awesome collection of data science resources. This article provides this list of best Data Science Tutorials & Data Scientists To Follow on GitHub.

Explained with examples.

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic … - Selection from Practical Statistics for Data Scientists [Book]