Artificial intelligence is the trending buzzword in the corporate sector that is helping businesses grow tremendously. Thanks to its incredible potential to draw accurate, reliable, and valuable data. Such a potential furnishes a company with meaningful insights based on which it can make essentially strategic business decisions. It would not be a stretch to sayRead More..
As companies grow, they face new and more complex challenges. Businesses must embrace new technologies to stay ahead of the competition and continue thriving. Artificial Intelligence (AI) is one such technology offering great potential for companies across industries. While there are many ways to incorporate an AI strategy into a business, seeking the help ofRead More..
It can be confusing to choose the right IoT cloud service provider. If you’re looking for an IoT cloud service provider to advance your business and technology ecosystem. Choosing the right IoT cloud services provider is about more than just choosing based on cost. A quality partner should be able to offer you everything fromRead More..
Machine learning is fast becoming an indispensable technology for end-to-end supply chain management. It enables market insights, demand forecasts, and risk management — all from complex data. Machine Learning is a type of AI that permits an algorithm or a software program to research and alter without explicit programming. It educates itself over time inRead More..
Our objective in this notebook is to predict car fuel efficiency, given specifications such as weight, cylinder count, etc. 1. Background 1. 1 Purpose The automotive industry is extremely competitive. With increasing fuel prices and picky consumers, automobile makers are constantly optimizing their processes to increase fuel efficiency. But, what if you could have aRead More..
The purpose of this notebook is to identify prospects using machine learning models, which in this dataset are the customers that have subscribed to a particular term deposit product. Table of Contents Data ingestion Exploratory Data Analysis Data preprocessing Model Training Model Testing Conclusion Credits 1. Data Ingestion 1.1 Introduction The purpose of this notebookRead More..
POSTED: August 13, 2020
Our objective in this notebook is to detect credit card fraud transactions, given parameters such as the time between transactions, transaction amount, and some obfuscated columns. Table of Contents Background Data ingestion Data preprocessing Exploratory Data Analysis Model Training Testing the Model Conclusion Credits Background Purpose If you work at a bank, millions of fraudulentRead More..