Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...

Full-stack Machine Learning Startup Success Predictor with 50K+ company dataset, bias-free methodology, XGBoost ensemble, Logistic Regression, SVM w/ RBF kernel, and SHAP interpretability. Built w/ ...

ABSTRACT: Photovoltaic solar energy is a vital resource in addressing global environmental and climate change challenges, with particular significance in Jordan. However, the weather, which varies ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

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, ...

Semantic search goes beyond traditional keyword matching by understanding the contextual meaning of search queries. Instead of simply matching exact words, semantic search systems capture the intent ...

In this tutorial, we’ll walk through a reliable and hassle-free approach using Cloudflared, a tool by Cloudflare that provides a secure, publicly accessible link to your Streamlit app. By the end of ...

Abstract: This work utilizes robust data analysis packages available in Python, such as Pandas, Matplotlib, Seaborn, and Folium, to analyze a dataset covering 11 governorates in Oman for the year 2020 ...

Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...