How much faster does the application run when implemented with NumPy instead of pure Python? What about TensorFlow?

Implementation of Dijkstra’s algorithm from scratch for return the shortest path from source airport to destenation based on user inputs

In tourism and travel-related industries, most of the research on Revenue Management demand forecasting and prediction problems employ data from the aviation industry, in the format known as the Passenger Name Record (PNR). This is a format developed by the aviation industry.

Creating database for Computer Repair shop Database using MySQL DBMS

In a Machine Learning Housing Corporation! The first task you are asked to perform is to build a model of housing prices in California using the California census data.

A study approach that utilizes a variety of methods (Logistic Regression, K-Folds, and DNN) to predict the houses price

A classification model for classifying the images to Melanoma or not motivated by the performance of Convolutional Neural Networks in computer vision, I present a CNN-based model from scratch.

An AI company which builds and sells AI software to different types of clients using GA-Based Solution for Optimal Exercise Plans.

Through scraping Indeed, an organization can establish a competitive salary, gain understanding of employee sentiment and values, find great candidates, and build a realistic budget for hiring employees and outside contractors.

Collection and analysis phase of the database design process for University Accommodation Office