Top 3 Winning Solutions and Approaches from LTFS Data Science FinHack 2 (with Code)
Overview Presenting the top three winning solutions and approaches from the LTFS Data Science FinHack 2 The problem statement for this hackathon was from …
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5 AI applications in Banking to look out for in next 5 years
Introduction “Machine intelligence is the last invention that humanity will ever need to make.” Nick Bostrom Artificial intelligence is a reality today and it …
Practicing Machine Learning Techniques in R with MLR Package
Introduction In R, we often use multiple packages for doing various machine learning tasks. For example: we impute missing value using one package, then build a …
Exploring Recommendation System (with an implementation model in R)
Introduction How do we make recommendations in our lives ? We do it based on our past experiences. Now imagine, what if we start …
How to perform feature selection (i.e. pick important variables) using Boruta Package in R ?
Introduction Variable selection is an important aspect of model building which every analyst must learn. After all, it helps in building predictive models free …
Complete Machine Learning Guide to Parameter Tuning in Gradient Boosting (GBM) in Python
Overview Learn parameter tuning in gradient boosting algorithm using Python Understand how to adjust bias-variance trade-off in machine learning for gradient boosting Introduction …
Build a Predictive Model in 10 Minutes (using Python)
Introduction I came across this strategic virtue from Sun Tzu recently: What has this to do with a data science blog? This is the …
Marketing Analytics: Essentials of Cross-Selling and Upselling (with a case study)
Introduction Cross selling and Upselling is one of the most widely discussed concept in marketing analytics. Every other day when you visit a supermarket, restaurant …
Applications of SAS Proc IML in Analytics
In the last two articles on IML, we discussed basics of IML and how to perform various matrix operations using SAS IML. IML makes …
Solve a business case using simple Markov Chain
Markov process fits into many real life scenarios. Any sequence of event that can be approximated by Markov chain assumption, can be predicted using …
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