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hasnainyaqub/README.md

Hi there 👋

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Welcome

About Me

About Me

I am Hasnain Yaqoob, an aspiring Data Scientist who is actively building expertise across Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. I am also learning FastAPI, Django and backend development to build complete and scalable AI powered applications. I enjoy working on real world problems, experimenting with modern AI techniques, and creating solutions that deliver practical value.

What I am Learning

  • Python for data science and automation
  • Pandas and NumPy for data manipulation
  • Data visualization using Seaborn, Matplotlib, and Plotly
  • Machine Learning and Deep Learning using Scikit-learn, TensorFlow, and PyTorch
  • NLP using Nltk, saCy ...
  • Generative AI using LangChain
  • Web development using Flask and FastAPI
  • Databases with SQL

What I am Looking For

  • Open source projects in data science and AI
  • Collaboration on ML and DL based projects
  • Research opportunities in AI and time series analysis

How to Reach Me

LinkedIn
Kaggle
X
GitHub
Portfolio

Fun Fact

I enjoy exploring new ideas in artificial intelligence and love solving real world problems using smart and creative solutions.

Let's connect and grow together

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  1. Projects Projects Public

    A collection of beginner to intermediate-level Data Science & Machine Learning projects using Python, Pandas, Scikit-learn, Tensorflow, and more.

    Jupyter Notebook 3

  2. GenAI GenAI Public

    Learning Generative AI with LangChain from CampusX

    Jupyter Notebook 2 1

  3. 6_Months_of_Data_Science_and_AI 6_Months_of_Data_Science_and_AI Public

    A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.

    HTML 3

  4. FastAPI FastAPI Public

    Learning FastAPI Basics from CampusX

    HTML

  5. TRANSFORMERS TRANSFORMERS Public

    Transformers are deep learning architectures that use self-attention instead of recurrence, enabling parallel sequence processing. Introduced in 2017 (Attention Is All You Need), they capture long-…

    Jupyter Notebook 2

  6. Natural_Language_Processing-NLP- Natural_Language_Processing-NLP- Public

    Exploring the fundamentals of NLP, including text preprocessing, tokenization, stopword removal, stemming, lemmatization, bag-of-words, TF-IDF, and basic text classification. This repository contai…

    Jupyter Notebook 3