Leveraging the power of machine learning and TensorFlow to build a predictive model for estimating inbound call volumes to a customer service center.
Python fundamentals explained.
Explore K-Nearest-Neighbor, Support Vector Machines, and Decision Trees: What they are and when to apply which.
How to get it all working?
EDA on the Iris dataset with colorful visualizations using Python’s seaborn and matplotlib libraries.
A step-by-step guide to freezing weights in PyTorch for transfer learning, using a simple example.
Unlock the Potential of AI Image Classification with Next.js and MobileNet