Why do shippers struggle with choosing the right carrier, best mode of transport, and keeping costs under control? This sounds simple in an ideal world. But every shipping decision must be tailored for the best outcome …
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LendingClub is an American online credit marketplace that connects borrowers and investors. It offers credit solutions such as personal loans, business loans, and refinancing solutions to borrowers. The investors are banks and institutional investors who can …
Businesses rely on a cardinal rule – if you categorize your transactions, you’ll keep track of your finances. To categorize and track transactions, it is usual for companies in the supply chain to develop in-house home-grown …
Educational institutes strive for students to achieve the course outcomes. Students also join courses offered by an educational institute fully expecting to complete it. But the fact of life is that some students pass and some …
It isn’t unreasonable to assume that political half-truths and celebrity hoaxes are recent phenomena. In reality, fake news – misinformation designed to deceive its listeners – has been a problem since ancient times. Fake news was …
Logistics is the backbone of our global economy. Knowing the time that it takes to transport an item from one place to another maximizes operational efficiency. It gives supply chains the ability to manage inventory levels, …
I started immersing myself in the world of Artificial Intelligence through the TDSB Experiential Learning Placement internship with Braintoy. My journey to learn Machine Learning started by experimenting with the Iris dataset. This article documents the …
Financial Institutions are in the business of giving out loans to customers. These lenders use various factors such as but not limited to the loan amount approved, credit score, income, debt-to-income ratio, loan tenure, Central bank …
Feature Importance is a technique in machine learning that assigns a score to the input features based on how useful they are at predicting a target output. But how do I know which features to keep …
Why model accuracy alone isn’t okay Imagine if you are working on a dataset to detect credit card fraud in which there is no fraudulent activity in 99% of the observations. It is easy to make …
