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How to handle Imbalanced Classification Problems in machine learning?
Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is …
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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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Tutorial – Data Science at Command Line with R & Python (Scikit Learn)
Introduction The thought of doing Data Science at Command Line may possibly cause you to wonder, what new devilry is that? As if, it …
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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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Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
Introduction If things don’t go your way in predictive modeling, use XGboost. XGBoost algorithm has become the ultimate weapon of many data scientist. It’s a highly …
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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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Quick Introduction to Boosting Algorithms in Machine Learning
Introduction Lots of analyst misinterpret the term ‘boosting’ used in data science. Let me provide an interesting explanation of this term. Boosting grants power to machine …
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Perfect way to build a Predictive Model in less than 10 minutes
Introduction In the last few months, we have started conducting data science hackathons. These hackathons are contests with a well defined data problem, which …
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Learn Gradient Boosting Algorithm for better predictions (with codes in R)
Introduction The accuracy of a predictive model can be boosted in two ways: Either by embracing feature engineering or by applying boosting algorithms straight …
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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 …
