Welcome!

My name is Lovkush Agarwal. In early 2020 I decided to change careers and become a data scientist. Following David Robinson’s’ advice, I decided to create this blog, to record my progress, learning and projects.

Posts

Oct 12, 2021
Using data to improve professional squash rankings
Apr 17, 2021
Similarity trees and NaN trees
Feb 21, 2021
Examples of collider bias
Jan 1, 2021
Using Data Science to Create Art
Dec 23, 2020
Presentations. Turning good slides into great slides
Dec 20, 2020
A surprising bug caused by regex
Nov 1, 2020
Squash rankings, Part III, All hail Bokeh!
Oct 18, 2020
Visualising L1 and L2 regularisation, Part II, Lessons learnt from an experienced programmer
Oct 11, 2020
Visualising L1 and L2 regularisation
Oct 1, 2020
Stochastic Gradient Descent, Part IV, Experimenting with sinusoidal case
Sep 28, 2020
Squash rankings, Part II, dimension reduction and clustering
Sep 24, 2020
An intuitive but unknown version of Bayes' Theorem
Sep 17, 2020
Squash rankings, Part I, Scraping wikipedia and data analysis
Sep 17, 2020
Stochastic Gradient Descent, Part III, Fitting linear, quadratic and sinusoidal data using a neural network and **S**GD
Sep 11, 2020
Stochastic Gradient Descent, Part II, Fitting linear, quadratic and sinusoidal data using a neural network and GD
Sep 10, 2020
Stochastic Gradient Descent, Part I, Gradient descent on linear, quadratic and sinusoidal data
Sep 8, 2020
FastAI Course, Part III, Frustrations with creating an image classifier
Sep 2, 2020
Analysing the movies I've watched, Part V, Data visualisation II
Aug 30, 2020
FastAI Course, Part II, Lesson 1 and sentiment analysis
Aug 28, 2020
Increasing the resolution of an image using an SRGAN
Aug 24, 2020
Analysing the movies I've watched, Part IV, Data visualisation
Aug 19, 2020
Analysing the movies I've watched, Part III, Joining the tables
Aug 14, 2020
The CAP Theorem's never ending rabbit hole
Aug 9, 2020
FastAI Course, Part I, Lessons 1 and 2
Aug 6, 2020
Web Scraping for STEP past papers and solutions, Part II, a bug
Aug 3, 2020
Analysing the movies I've watched, Part II, Data cleaning
Aug 2, 2020
Analysing the movies I've watched, Part I, Data collection
Jul 30, 2020
Contributing to Darts by Unit8
Jul 27, 2020
Web Scraping for STEP past papers and solutions
Jul 26, 2020
EuroPython Conference 2020, Summary
Jul 24, 2020
EuroPython Conference 2020, Day 2
Jul 23, 2020
EuroPython Conference 2020, Day 1
Jul 18, 2020
Santander Dataset, Part III, Learning from others
Jul 14, 2020
Neural Networks, Part II, First MNIST model
Jul 13, 2020
Santander Dataset, Part II, Feature Selection
Jul 9, 2020
Neural Networks, Part I, Basic network from scratch
Jul 1, 2020
Santander Dataset, Part I
Jun 25, 2020
Investigating Credit Card Fraud, Part VI, Summary and Lessons from Kaggle
Jun 22, 2020
Stop and Search, Part III, Data Analysis
Jun 17, 2020
Stop and Search, Part II, Data Cleaning
Jun 16, 2020
Do students do their homework last minute?
Jun 15, 2020
Stop and Search, Part I, Data Collection
Jun 9, 2020
AIs for Games, Part III, Pruning Min-Max for Pentago
Jun 4, 2020
AIs for Games, Part II, Min-max for Pentago
May 30, 2020
Investigating Credit Card Fraud, Part V, Final Models
May 29, 2020
Investigating Credit Card Fraud, Part IV, `n_estimators`
May 24, 2020
Bacon numbers via Recursive SQL
May 20, 2020
AIs for Games, Part I, Brute Force TicTacToe
May 19, 2020
Investigating Credit Card Fraud, Part III, Handmade Model
May 16, 2020
Investigating Credit Card Fraud, Part II, Removing data
May 14, 2020
Trouble with Jekyll
May 14, 2020
Investigating Credit Card Fraud, Part I, First Models
May 13, 2020
Making this blog
May 12, 2020
First blog post