8000 SobiaNoorAI (Sobia Noor) Β· GitHub
[go: up one dir, main page]

Skip to content
View SobiaNoorAI's full-sized avatar

Block or report SobiaNoorAI

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
SobiaNoorAI/README.md

Hi, I'm Sobia Noor πŸ‘‹

Welcome to my GitHub profile! I'm currently a Data Science Mastery Program (DSMP) Fellow at Data Seekho, where I'm developing my skills in data science, machine learning, and artificial intelligence. I am passionate about applying data-driven solutions to real-world problems and continuously expanding my knowledge in the field.


🌟 About Me

  • πŸŽ“ Education: Bachelor’s in Information Technology from Institute Southern Punjab | Data Science Mastery Program at Data Seekho
  • πŸ’» Skills: Python, SQL, Machine Learning, Data Visualization, Pandas, NumPy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn
  • 🌱 Currently Learning: Deep Learning, NLP, and Advanced Data Science techniques
  • 🀝 Looking to collaborate on: Open-source data science projects and machine learning competitions
  • πŸ† Achievements: Completed multiple data science projects, participated in [Competitions/Challenges] on Kaggle
  • πŸ”­ Research Interests: Data Science, AI Ethics, Predictive Modeling, Generative AI
  • πŸ“« How to reach me: sobianoor087@gmail.com | Sobia Noor

πŸ’Ό My Projects

Here are some of the key projects I’ve been working on during my learning journey in data science. Feel free to explore the code, read the documentation, and reach out if you have any questions!

1. [Project Name]

  • Description: Brief overview of the project and its purpose. For example: "A customer segmentation project using K-Means clustering to group customers based on purchasing behavior."
  • Technologies Used: Python, Pandas, Scikit-Learn, Matplotlib
  • Key Steps: Data Cleaning, Exploratory Data Analysis (EDA), Model Training, and Evaluation
  • Results: Found distinct customer segments that will help drive targeted marketing strategies.
  • πŸ“‚ Link to Project Repository

2. [Project Name]

  • Description: A brief summary. For example: "A predictive model to forecast house prices based on key features like location, area, and amenities using Linear Regression."
  • Technologies Used: Python, Pandas, NumPy, Scikit-Learn, Seaborn
  • Key Steps: Data Preprocessing, Feature Engineering, Model Training
  • Results: Achieved a high RΒ² score, indicating accurate predictions.
  • πŸ“‚ Link to Project Repository

3. [Project Name]

  • Description: Example: "A web scraping project to collect and analyze product reviews from e-commerce websites using BeautifulSoup and Pandas."
  • Technologies Used: Python, BeautifulSoup, Pandas
  • Key Steps: Web Scraping, Data Collection, Sentiment Analysis
  • Results: Successfully extracted and analyzed over 1,000 reviews for sentiment trends.
  • πŸ“‚ Link to Project Repository

πŸ“Š Skills & Tools

Here are the technologies and tools that I use most frequently. My expertise is constantly evolving as I explore new areas of data science and machine learning.

  • Languages: Python, SQL
  • Libraries & Frameworks:
    • Data Analysis: Pandas, NumPy
    • Machine Learning: Scikit-Learn, TensorFlow, Keras
    • Data Visualization: Matplotlib, Seaborn, Plotly
    • Web Scraping: BeautifulSoup, Scrapy
  • Databases: MySQL, PostgreSQL
  • Tools: Jupyter Notebooks, Google Colab, Git, Docker
  • Cloud Platforms: AWS (S3, EC2), Google Cloud

πŸš€ What I'm Currently Learning

I believe in continuous learning to stay up-to-date with the latest trends in data science. Here's what I'm currently focused on:

  • Deep Learning: Building models using TensorFlow and Keras
  • NLP (Natural Language Processing): Exploring sentiment analysis, text classification, and transformers
  • Generative AI: Understanding the applications and limitations of generative models like GPT and DALLΒ·E

πŸ… Certifications & Courses

Here’s a list of courses and certifications I’ve completed as part of my journey in data science:

  • Data Science Mastery Program (DSMP) - Data Seekho
  • [Course Name] - [Provider]
  • [Course Name] - [Provider]

πŸ“ Blog Writing

Read my blogs :


🌐 Let's Connect

I enjoy connecting with fellow data enthusiasts, so feel free to reach out to me! Whether it’s to collaborate, discuss projects, or exchange knowledge, I’m always open to new connections.

Thank you for visiting my profile, and I hope you find my projects insightful!

Your GitHub Stats


⚑ Fun Fact

Aside from coding, I enjoy cycling, playing cricket, and reading about AI trends!

Popular repositories Loading

  1. SobiaNoorAI SobiaNoorAI Public

    Config files for my GitHub profile.

    1

  2. Python Python Public

    Basics of Python

    Jupyter Notebook 1

  3. Data-Seekho-Data-Science-Mastery-Program Data-Seekho-Data-Science-Mastery-Program Public

    Jupyter Notebook 1

  4. E-commerce-Sales-Analysis-with-SQL-Pandas-Matplotlib-Seaborn E-commerce-Sales-Analysis-with-SQL-Pandas-Matplotlib-Seaborn Public

    Jupyter Notebook

  5. E-commerce-Dashboard-Project-Using-Power-BI E-commerce-Dashboard-Project-Using-Power-BI Public

  6. Car-Purchasing-Prediction-Machine-Learning-Model Car-Purchasing-Prediction-Machine-Learning-Model Public

    Jupyter Notebook

0