towardsdatascience.com

A High-Level Overview of Linear Regression AnalysisImage by Dan White 1000 on ShutterstockRegressionRegression analysis is a statistical methodology that allows us to determine the strength and relationship of two...

Using a bread vs. cake classifier to deconstruct random forestsPhoto by Rod Long on UnsplashIf only machine learning could be as delicious as it is oftentimes perplexing. While learning data science concepts, I’ve...

Photo by NASA on UnsplashI’ve been using Notion for around 6 months now, and I keep track of my work, school, and personal notes there. A few weeks ago I began digging into Notion’s internal API to try and figure...

Building Simulations in Python — A Complete WalkthroughLearn the fundamentals to be able to simulate the pandemic.Photo by Joshua Sortino on UnsplashTable of ContentIntroductionThe Most Basic SimulationAdding...

A step by step guide to estimate probability of discrete random variable and its expected valuePhoto by SpaceX on UnsplashNASA has published a compiled data on space-shuttle launches on its website. The data is...

Data Analysis and Visualizations using PythonThis project is a part of “IBM Data Science Professional Certificate on Coursera”. You can check my Jupyter Notebook on GitHubLos Angeles Sky Line (Image Source:...

Avoiding self joins and join on operationsPhoto by Cris Ovalle on UnsplashMany consider SQL to be data science’s ugly brother, often dedicating little time exploring its nuances and capabilities. And yet, SQL is...

Manage licensing risks of Open Source Data Science projectsOpen Source Software Enterprise Adoption TrendsThe best AI/ML software today from model development (scikit-learn, TensorFlow, PyTorch) to deployment...

Use Python to Simplify All of the Prep Work for Modeling with Text DataPhoto by Mike Benna on UnsplashGitHub linkIntroductionSkip ahead to the actual Pipeline section if you are more interested in that than learning...

Interpretable Machine Learning That Isn’t OLSPhoto by Max Ostrozhinskiy on UnsplashContentsIntroductionCalifornia Housing Dataset ExampleConclusionReferencesIntroductionThe interpretable side of machine learning...

7 steps (with examples) to approaching any data science problemPhoto by Alexander Hafemann on Unsplash1. Getting startedFrom the outside, data science can appear to be a huge and nebulous discipline. Today’s data...

Photo by Mika Baumeister on UnsplashData Anonymization | Deep Learning | Privacy | AutoencoderHow to anonymize the data while preserving its predictive power.In this post, we are going to see how to use an autoencoder...

Writing a crude equalizer using a fast fourier transformYou can also read the article on Github including full reproducible codeCoordinate transforms are extremely useful mathematical operations that can reduce the...

Image by Stephan Seeber on UnsplashA multi-tier architecture is a design pattern that is embraced by millions of developers around the world mainly because of its way of separating concerns clearly across many layers....

INTUITIVE REINFORCEMENT LEARNING SERIESA Visual Guide to how and why the Q Learning Algorithm works, in Plain EnglishPhoto by Carlos Esteves on UnsplashThis is the fourth article in my series on Reinforcement...

Which NBA Teams Are Best At Drafting?Analyzing the last ten NBA drafts to determine who drafts well and who doesn’tPhoto by Chensiyuan on Wikimedia CommonsDrafting is one of the most crucial elements of a successful...

The One Year Plan For Cracking Coding InterviewsAbout my hustle before cracking interviews.It took me one year to go from a noob programmer to someone decent enough to crack coding interviews for getting internships and...