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HDFC Bank Machine Learning Challenge Solution

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Hi Guys, In this competition, Our task is to build a banking behavioural scorecard model for internal customers through a user's liability account and predict the credit risk.   What is a Banking behavioural scorecard?     Banking behavioural scorecard is a model that is maintained for a customer based on his liability transactions. Liability transactions are transactions that are transacted by an internal customer of a bank. Internal customers of a bank are the customers who have a savings account (SA) with the bank.   How can a customer repay a loan?     Customer pays the loan in equal monthly instalments (EMIs). Loans get paid through post-dated cheques. Customer also has an option to pay through the Electronic Clearing System (ECS) technique or standing instructions to debit the user's HDFC Bank account with the EMI amount.   What is the meaning of customer risk profile?     Customer risk profile means the probability of the customer defaulting on hi
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Amazon Machine Learning Challenge

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Hi Guys, In this competition, Amazon has asked to solve one of the problems that exist in E-Commerce companies. They were looking for a machine learning model that identifies the key aspects of the reviews given by customers. A thorough analysis of a review can provide insights to retailers and E-commerce platforms about improvements that are required for better customer satisfaction. Please watch the solution. Share your thoughts about the solution and do not forget to SUBSCRIBE the channel.
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The Great India Data Science Challenge Solution (Edgeverve) | asingleneuron

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The Great India Data Science Challenge was a machine learning hiring challenge organized by Edgeverve on Hackerearth platform.  It's a single round challenge, the problem statement was focused on NLP ( text classification ). I ended up with 100% accuracy on test dataset for this problem. Curious to know How?
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Numpy Tutorial - Numpy Tutorial Python - Numpy Tutorial For Beginners | asingleneuron

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Let's start our journey with numpy. NUMPY is a python library, capable of doing array processing with an ease. Numpy is capable of performing any kind of array operation with a lightening speed. This is much needed tool to accomplish day to day task which requires multi-dimensional array.  Numpy is also useful for linear algebra.  As a data scientist we daily deal with arrays :) In this journey we will see useful function what makes you day to day task easy. Prerequisite : you should be familiar with Python. KAGGLE KERNEL used to generate this blog post. 
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Ericsson ML Challenge Winning Solution | asingleneuron

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Ericsson ML Challenge was focused on NLP and Predictive Analytics problem.  This was a two round challenge. First round was online round, top participants from first round called for offline round at Ericsson office to present their approach and thought process to solve these problems to the Jury.   I won the hackathon by securing 2nd place after the offline round. Problem Statement 1: PREDICT MATERIAL TYPE Assume that you are a member of a marketing agency and you are given a dataset having the title, subjects, and other features, based on which you have to predict what will be the material of to-be-published research so that you can tie-up with an ideal publisher and help them grow.  TRAINING DATA contains 31653 rows  and 12 features TEST DATA contains 21102 rows and 11 features  The following are the material types: Book Sound disc Videocassette Sound cassette Music Mixed CR This is a multi-class classification problem, we are havin
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