Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

This project aims to help any new learner get the right course to learn by just answering a few questions. How many courses with different difficulty and certification type? Which course difficulty ...

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...

Abstract: Optimizing the performance of deep neural networks (DNNs) remains a significant challenge due to the sensitivity of models to both hyperparameter selection and weight initialization.

Stephen Imeh wanted to make history. He’d never really dreamt of being an influencer, but in April he noticed an opportunity to break through. There were virtually no looksmaxxers—people who spend ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

The Wyoming Geographic Information Science Center (WyGISC) at the University of Wyoming has launched the Wyoming LiDAR (light detection and ranging) Data Portal, providing unprecedented public access ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

This project analyzes a dataset of Netflix Movies and TV Shows using Python. It explores trends such as content type, release years, country-wise distributions, and more using pandas, matplotlib, ...