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Showing posts from July, 2017

Machine Learning Tutorial 1 : Wage Prediction

Machine learning has evolved over the past few years with advances in compute capacity and availability of data coupled with state-of-the-art algorithms that have been published by various research institutions. It refers to the process by which software programs learn from experience with data and use this to make predictions or take certain actions. This tutorial is the first of many that I would be posting over the next couple of weeks. Here, I would be demonstrating how to train an algorithm on data from US Census to predict whether a person earns more than $50 000 dollars salary or not based on social factors such as his education, occupation and many more. Enough with the Story! Let’s Get Started Here we would be using the awesome machine learning framework “Google TensorFlow” And run this experiment on Kaggle.  If you don’t have a Kaggle account, visit www.kaggle.com to register, its free to run machine learning experiments. Create a new kernel and ad