Part II – A Whirlwind Tour of Machine Learning Models
In Part I, Best Practices for Picking a Machine Learning Model, we talked about the part art, part science ofContinue Reading
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Part I – Best Practices for Picking a Machine Learning Model
The part art, part science of picking the perfect machine learning model. The number of shiny models out there canContinue Reading
Training a Neural Network? Start here!
Training neural networks can be very confusing! What’s a good learning rate? How many hidden layers should your network have?Continue Reading
Searching for dark matter in the Large Hadron Collider datasets
I’ve recently been having a lot of fun playing with CERN’s Large Hadron Collider datasets, and I thought I’ll shareContinue Reading
How I made top 0.3% on a Kaggle competition
Getting started with competitive data science can be quite intimidating. But it’s actually surprisingly simple! I recently started messing aroundContinue Reading
Battle of the Boosting Algorithms
The Goal What’re we doing? We’re going to let XGBoost, LightGBM and Catboost battle it out in 3 rounds: Classification:Continue Reading
Getting started with Kaggle
Getting started with Kaggle can be an intimidating prospect! So I wrote a kernel to help you get started quickly.Continue Reading
Bayes Theorem: A Primer
where: job is the gender, writer or engineer data is a collection of the features that comprise a person (hours_worked, salary_in_k, officeContinue Reading
Welcome to Lavanya.ai!
I created Lavanya.ai as a place to use data to tell stories that speak to people, and to take youContinue Reading
Lavanya.ai 