Published inTowards Data ScienceMLOps: How to Operationalise E-Commerce Product Recommendation SystemPart I: Hands-on tutorial to build an e-commerce product recommendation system & Part II: How to operationalise this project using LayerMay 25, 20221May 25, 20221
Published inDataDrivenInvestorGuidelines For Data Science TeamsHow to Build, Structure and Manage a Data Science Team SuccessfullyFeb 4, 20211Feb 4, 20211
Published inTowards Data ScienceA Suite of Essential Data Products for E-Commerce Recommendations, Personalisation and Product…6 POPULAR DATA PROBLEMS — 6 PRODUCT SOLUTIONS AND 1 BIG PICTURE!Jan 25, 2021Jan 25, 2021
Published inTowards Data ScienceAd2Vec: Similar Listings Recommender for MarketplacesHow to use Word2Vec in the field of Recommender Systems?Jan 18, 20211Jan 18, 20211
Published inTowards Data ScienceCustomer Journey-Based Segmentation for MarketplacesKnow Your Customers With The Help of a Clustering Analysis: How to Extract Actionable Insights Into Your Customers Lifecycle StagesJan 18, 20211Jan 18, 20211
An End-to-End Journey of a Multinational Predictive Conversion Likelihood Model for MarketplacesOverviewJan 18, 20211Jan 18, 20211
Gradient Boosted TreesGradient Boosted Trees (a.k.a GBT) is a commonly used tree-based ML algorithm which works for both regression and classification type of…Jan 18, 2021Jan 18, 2021
Introduction to Boosting Methodology & AdaBoost AlgorithmIt is important to learn how a machine learning algorithm works behind the curtains. For a data scientist, it is crucial to wonder about…Jan 18, 2021Jan 18, 2021
Multi-class Classification on Imbalanced Data using Random Forest Algorithm in SparkI don’t know if you’re a kind of person who is addicted to a machine learning algorithm and use your favorite one as long as it is…Jan 18, 20211Jan 18, 20211
