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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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45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)
Introduction Tree Based algorithms like Random Forest, Decision Tree, and Gradient Boosting are commonly used machine learning algorithms. Tree based algorithms are often used …
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Solutions for Skilltest Machine Learning : Revealed
Introduction Automation and Intelligence has always been a driving force for technological advancements. Techniques like machine learning enable these advancements in every domain possible. …
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16 New Must Watch Tutorials, Courses on Machine Learning
Introduction Most of us fail to acknowledge that Youtube has a massive resource center of machine learning tutorials which are free to access. You no longer …
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Making Predictions on Test Data after Principal Component Analysis in R
Introduction This is an update of my previous article on Principal Component Analysis in R & Python. After having received several request on describing …
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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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Practical Guide to deal with Imbalanced Classification Problems in R
Introduction We have several machine learning algorithms at our disposal for model building. Doing data based prediction is now easier like never before. Whether …
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Complete Guide to Parameter Tuning in Gradient Boosting (GBM) in Python
Introduction If you have been using GBM as a ‘black box’ till now, may be it’s time for you to open it and see, …
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Approach and Solution to break in Top 20 of Big Mart Sales prediction
Introduction Practice problems or data science projects are one of the best ways to learn data science. You don’t learn data science until you …
