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Why You Should Use Dask If You Are Into Data Science And Machine Learning

What if there was a solution to speed up algorithms, parallelise computing, parallelise Pandas and  NumPy and integrate with libraries like sklearn and XGBoost? Then it would be called Dask. There are many solutions available in the market which are…

How LinkedIn’s Recommendation System Is Generating The Perfect Job Match For You

With more than 200 million users logging in every month, the platform has a hectic task of collecting, handling and serving the data accurately without any latency. Although there are many conventional on-demand services and state-of-the-art machine learning models, the…

How To Use XGBoost To Predict Housing Prices In Bengaluru: A Practical Guide

XGBoost, an abbreviation for eXtreme Gradient Boosting is one of the most commonly used machine learning algorithms. Be it for classification or regression problems, XGBoost has been successfully relied upon by many since its release in 2014. It is a…

How These Data Science Enthusiasts From Christ University Solved Our Insurance Products Hackathon

TEG Analytics and Analytics India Magazine had organised a hackathon called Predict Market Competitiveness For Insurance Products, this year on the Republic Day. The problem involved predicting the market share of insurance companies in the US, affiliated to Medicare. After…

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