Neil ChandaranainTowards Data Science10 Principles of Practical Statistical ReasoningPractical notes on the overarching principles of applied data science and general issues of fruitful application.Oct 20, 2020Oct 20, 2020
Neil ChandaranainTowards Data ScienceYield Curve Building In PythonUsing swap rates & B-spline functions to construct GBP term structureFeb 6, 20202Feb 6, 20202
Neil ChandaranainTowards Data ScienceA Practical Dialogue for Effective Data Preprocessing3 essential data cleansing functions, 2 odd characters & a horrific datasetDec 11, 2019Dec 11, 2019
Neil ChandaranainAnalytics VidhyaRidge Regression, Memory vs Understanding & Ice Cream!Understanding where Ridge sits in the ecosystem of Linear Methods for RegressionDec 4, 2019Dec 4, 2019
Neil ChandaranainTowards Data ScienceMachine Learning, Cycling & 300W FTP (Part 1)In Search Of A Better Approach To Physical TrainingSep 28, 20192Sep 28, 20192
Neil ChandaranainThe StartupEssentialism & the Cardinal Sin of Option TradingTesting the ‘less but better’ concept on the trading floor.Sep 17, 2019Sep 17, 2019
Neil ChandaranainTowards Data ScienceSVD: Where Model Tuning Goes WrongExploring the limits of hyperparameter tuning for SVD Recommender systems using the Surprise library in Python.Aug 30, 20191Aug 30, 20191
Neil ChandaranainTowards Data Science4 Ways To Supercharge Your Recommendation System4 practical steps to improve scalability and quality in front of users.Aug 6, 20192Aug 6, 20192
Neil ChandaranainTowards Data ScienceClassification: Football Player Position Prediction (Part 2)Creating a model to predict playing position based solely on physical attributes.May 3, 2019May 3, 2019
Neil ChandaranainTowards Data ScienceClassification: A Linear Approach (Part 1)Classification via a linear approach — what does that even mean?Apr 18, 2019Apr 18, 2019
