
Articles
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Nov 29, 2024 |
mdpi.com | Maria Akhtar |Asfand Yar |Azmat Yar
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Sep 16, 2024 |
medium.com | Asfand Yar
In today’s fast-paced world, maintaining a healthy lifestyle is more important than ever. With the advent of technology, we have the tools to make fitness more accessible and personalized. This article delves into the creation of an AI-powered exercise recommendation system, leveraging machine learning (ML) and deep learning (DL) models to provide tailored exercise suggestions.
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Aug 16, 2024 |
medium.com | Asfand Yar
In this project, we will build a Job Skill Matching System using a dataset of job skills. We’ll use Python and several libraries including pandas, numpy, scikit-learn, and Streamlit to create a web application that predicts the best job match for a user based on their skills. First, we need to load the dataset and explore its structure. We’ll use pandas to read the CSV file and display the first few rows, basic information, and statistics about the dataset.
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Aug 2, 2024 |
medium.com | Asfand Yar
This week, I delved into the fascinating world of clustering analysis, focusing on K-Means and hierarchical clustering algorithms. I applied these techniques to three distinct datasets: Iris, Mall Customers, and Wholesale Customers. Each dataset presented unique challenges and insights, enhancing my understanding of clustering methodologies and their applications. Here's a detailed account of what I learned. I started with the Iris dataset, a classic in the machine learning community.
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Jul 14, 2024 |
medium.com | Asfand Yar
Hi there, techiesI'm hoping all is fine with you all! Here is an update from my fourth week in the Bytewise Fellowship Program. Our mentor, Ma'am Nimra Waqar, gave us a fascinating project to work on this week. Our job was to train a model to Predict machine Failure and to visualize our findings with visually appealing plots and graphs. So let me get started on my project right now. This script analyzes and predicts solar plants' Direct Current (DC) power output using weather sensor data.
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