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Hi! I'm Muhammad Arslan πŸ‘‹

Google Scholar Website

Things that I love:

  • πŸ–₯️ Python Developer
  • πŸ–₯πŸ“•Machine Learning
  • πŸ“•πŸ–₯️ Deep Learning
  • πŸ“•πŸ–₯️ Data Science
  • πŸ“•πŸ–₯️ Object Detection
  • πŸ“’ Learning stuff
  • 🌎 Share Knowledge Regarding my Field

Where I'm Going 🧭

  • Looking for an opportunity in Machine Learning
  • Technical mastery of offensive skills for the betterment of the defensive community.
  • Craftspersonship, inclusivity, community building, mentorship, mentees, good vibes 🎡

πŸ“• Research Paper

INTELLIGENT PHISHING URL DETECTION: A SOLUTION BASED ON DEEP LEARNING FRAMEWORK

A SMART PARKING SYSTEM BASED ON LORAWAN TECHNOLOGY

-πŸ“‘ https://ieeexplore.ieee.org/document/9674149

Certifications πŸ“œ

Python For Everybody |Pre-requisites For Deep Learning Bootcamp| Supervised Machine Learning: Regression and Classification | Write Professional Emails in English |

OnGoing COURSES/Certifications 🎀

AI (Artificial Intelligence from PFTP)

Algorithms for Searching, Sorting, and Indexing (Coursera Google)


Muhammad Arslan's Projects

calamity_prediction icon calamity_prediction

In this project I used past three years data of climate having key attributes like rainfall, wind speed, direction, temperature etc and predict calamity on the basis of these key attributes for next year three years using logestic regression technique and also perform descriptive data analysis.

instance_segmenation_yolov8 icon instance_segmenation_yolov8

Overall, this project demonstrates the power of deep learning-based instance segmentation algorithms and their ability to accurately detect and classify objects in images, even in complex and diverse datasets like the RoboFlow butterfly dataset.

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