Deepak George

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Senior Data Scientist with 7 years of experience in delivering actionable business insights using statistical modelling, machine learning and big data. Has an excellent track record of managing and executing complex data science projects and consistently exceeding expectations. Enjoys seeing and discussing the bigger picture and the business impact as much as diving into details about all sorts of machine learning models. Highly passionate about data science and is active in the academia through continued association with alma mater, IIM Bangalore. Keeps up to date regularly on the latest developments in the field of data science by taking up MOOCS/Certifications and competing in Kaggle ...

machine learning statistics kmeans unsupervised learning segmentation k-means hierarchical clustering dbscan clustering predictive modelling data science decision tree bagging ensembling random forest gradient boosting

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Deepak George

Presentations

Decision Tree Ensembles - Bagging, Random Forest & Gradient Boosting Machines

Unsupervised learning: Clustering

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Notes from Coursera Deep Learning courses by Andrew Ng

Beyond SQL: Speeding up Spark with DataFrames

Decision Tree Ensembles - Bagging, Random Forest & Gradient Boosting Machines

2016 Spark Summit East Keynote: Matei Zaharia

Introduction to Spark ML