Category Archives: Python

Auto Training and Parameter Tuning for a ScikitLearn based Model for Leads Conversion Prediction

This is a sequel to my last blog on CRM leads conversion prediction using Gradient Boosted Trees as implemented in ScikitLearn. The focus of this blog is automatic training and parameter tuning for the model. The implementation is available in … Continue reading

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Predicting CRM Lead Conversion with Gradient Boosting using ScikitLearn

Sales leads are are generally managed and nurtured in CRM systems. It will be nice if we could predict the likelihood of any lead converting to an actual deal. This could be very beneficial in many ways e.g. proactively  providing … Continue reading

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Inventory Forecasting with Markov Chain Monte Carlo

Sometimes you want to calculate statistics about some variable which has complex, possibly non linear relationship with another variable for which probability distribution is available, which may be non standard or non parametric. That’s the situation we face when trying predict … Continue reading

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Customer Churn Prediction with SVM using Scikit-Learn

Support Vector Machine (SVM) is unique among the supervised machine learning algorithms in the sense that it focuses on training data points along the separating hyper planes. In this post, I will go over the details of how I have … Continue reading

Posted in Data Science, Machine Learning, Predictive Analytic, Python | Tagged , , , , | 2 Comments