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Hi there 👋

I'm Azhar, deeply passionate about AI, ML, and Data Science. Here's a snapshot of my GitHub:

  • 🔭 Currently exploring LLMS and LangChain
  • 🌱 Eagerly learning and staying updated in the field
  • 👯 Open to collaborating on innovative AI projects
  • 💬 Discuss the latest in AI, ML, or Data Science with me
  • 📫 Reach me at [email protected]

Excited to learn and share within the open-source community. Explore my repositories, and let's continue our journey into the world of AI together! 🚀

Azhar's Projects

back_order_prediction_end2end icon back_order_prediction_end2end

This repo contains an end-to-end solution for predicting product back-orders using machine learning. It includes data preprocessing, model training, and evaluation tools, designed to help businesses mitigate supply chain disruptions

deep-learning icon deep-learning

Contains notes and jupyters notebooks to revise Deep learning

deep_learning icon deep_learning

Contains notes and jupyter notebook for learining deep learning

dsa_practice icon dsa_practice

Contains practice question with solution in python for data stricture and algorithm

energy-behavior-prediction-of-prosumers icon energy-behavior-prediction-of-prosumers

This GitHub repo is an end-to-end project predicting prosumer energy behavior. It tackles imbalance and rising costs, integrating a complete ML pipeline from data ingestion to model deployment. Join us in shaping a sustainable and efficient energy future!

lllm-tutorial icon lllm-tutorial

"This repo contains concise notes and Jupyter notebooks designed to facilitate the learning of Large Language Models (LLMs). It provides practical guidance and examples for understanding LLMs.

mnist-project icon mnist-project

This project develops a modular machine learning system in Python to predict handwritten digits, utilizing TensorFlow CNN, MLflow for model packaging and API creation, and Docker/Kubernetes for deployment.

smart-ats icon smart-ats

Smart-ATS is a project focused on developing a smart Applicant Tracking System (ATS) to enable candidates to assess how well their resumes match job descriptions."

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