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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.
Learn how Principal Component Analysis (PCA) can help you overcome challenges in data science projects with large, correlated datasets. Read Now!
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
This is a solution of mini hack excel which involves solving a business problem using advanced excel, logical and structured thinking to solve
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