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Essentials of Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on Aug 10, 2015 and updated on Sept 9th, 2017 Introduction Google’s self-driving cars and robots get a lot …
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Which algorithm takes the crown: Light GBM vs XGBOOST?
Introduction If you are an active member of the Machine Learning community, you must be aware of Boosting Machines and their capabilities. The development …
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Top 35 Articles and Resources from Analytics Vidhya for the year 2016
Introduction Reflection time! Yes – it is that time of the year, when you stand and look back. You take a small pause, soak …
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Use H2O and data.table to build models on large data sets in R
Introduction Last week, I wrote an introductory article on the package data.table. It was intended to provide you a head start and become familiar with …
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A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)
Introduction Tree based learning algorithms are considered to be one of the best and mostly used supervised learning methods. Tree based methods empower predictive models …
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Winning Solutions of DYD Competition – R and XGBoost Ruled
Introduction It’s all about an extra mile one is willing to walk! Winning a data science competition require 2 things: Persistence and Willingness to try …
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Step by step guide to building sentiment analysis model using graphlab
I have been using graph lab for quite some time now. The first Kaggle competition I used it for was Click Trough Rate (CTR) …
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Secrets from winners of our best ever Data Hackathon!
Introduction One of the books I read in initial days of my career was titled “What got you Here, Won’t Get You There”. While …
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Getting into Top 10 in Kaggle Facebook Recruiting Competition
Facebook recently wrapped up its Recruitment competition on Kaggle. This was by far the richest data I have seen on Kaggle. The amount of …
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Getting smart with Machine Learning – AdaBoost and Gradient Boost
Introduction Machine Learning algorithms are like solving a Rubik Cube. You grapple at the beginning to figure out the hidden algorithm, but once learnt, some can even …
