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Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
This article explains using dynamic programming technique to solve business analytics case studies using structured thinking in analytics
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
This article highlights the top 3 winning solutions from The seer's accuracy. The winners used xgboost, feature engineering and ensembled.
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
This operational analytics case study is made for freshers and less experienced people in analytics to practice for interviews and new jobs
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
Learn about the challenges of imbalanced classification in R and how it can affect the accuracy of machine learning algorithms. Read Now!
This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
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