Modernize Support Logs Using Simple Python Commands
This article was published as a part of the Data Science Blogathon. Introduction In this blog, I will explain how using simple machine learning …
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Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions
Introduction We are living in the era of digital technologies. When was the last time you walked into a shop that didn’t have a …
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 …
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 …
