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We'll start with an overview of how machine learning models work and how they are used. This may feel basic if you've done statistical modeling or machine learning before.

machine-learning---intro-and-intermediate's Introduction

Muhammad Kaleem Ullah

Data Scientist / Data Analytics / Computer Engineer

๐Ÿ“ง : [email protected] | ๐Ÿ“ž : +92 303 2225720


About Me

A passionate data scientist with experience of more than 1 year in the fields of e-commerce, Amazon, Walmart, eBay, Shopify, stock exchange, and cryptocurrency. Skilled in Python, Pandas, Numpy, and machine learning model development. Recognized for leadership, and innovation, and a published author committed to contributing valuable insights. Gold Medalist in Computer Engineering, demonstrating academic excellence and effective collaboration as a Google Developer Student Club Lead and Google Developer Group Cloud Islamabad.


Skills

  • Programming Languages: C, C++, Python, MATLAB, LabVIEW
  • Libraries/Frameworks: Numpy, Keras, Tensorflow, OpenCV
  • Version Control: Git, GitHub
  • Web Technologies: Web Scraping, Beautiful Soup, Requests, Scrapy, Selenium
  • Databases: MySQL, SQLite, MongoDB
  • Data Visualization: MS Excel, Power BI, Tableau
  • Machine Learning/DL: Deep Learning, Machine Learning, LLM, OpenAI
  • Image Processing: Computer Vision

๐Ÿ“ซ you can reach me at my email address i.e. [email protected]

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