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Achievement: Pull SharkAchievement: Quickdraw

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0layiw0la/README.md

Hi 👋, I'm Ibrahim

Coding

- 🔭 Currently exploring **Forecasting and Natural Language Processing**.

  • 👨‍💻 Check out my projects here

  • 👯 Open to collaborate on Software Engineering and Machine learning projects

  • 📫 Reach me at abdulrahimibrahimolayiwola@gmail.com

  • ⚡ Fun facts: I love cooking, and baking, and i'm a writer


Connect with me:

Email LinkedIn Medium

🛠️ Languages & tools

Languages Python JavaScript C++
Machine Learning

NumPy Pandas Scikit-learn Matplotlib Seaborn NLTK Transformers

Web Development

HTML5 CSS3 FastAPI React TypeScript

Databases

Snowflake TypeScript MySQL Microsoft SQL Server

Business intellegence Tools & IDE's

Power BI Microsoft Excel Visual Studio Code Jupyter

GitHub Stats

0layiw0la's GitHub Stats

0layiw0la's GitHub Streak

0layiw0la's Top Languages

🏆 GitHub Trophies

0layiw0la's Trophies

📈 GitHub Contributions

0layiw0la's GitHub Activity Graph

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  1. Text_summarizer Text_summarizer Public

    A streamlit app that uses BART and NLTK for text summarization and sentiment analysis.

    Python 1

  2. Customer-Review Customer-Review Public

    This project is a web app that uses sentiment analysis to enable users get the most recent positive and negative reviews for any business by putting in the name and location.

    Python 1

  3. British-Airways-virtual-internship British-Airways-virtual-internship Public

    British airways the forage task where i web scrapped customer reviews on the internet and performed sentiment analysis on them, developed a predictive model to determine if a customer would complet…

    Jupyter Notebook

  4. Ribbon-Analysis Ribbon-Analysis Public

    This data set for this analysis was provided by SocialBlaze. The data contains key data on ribbon's operations from july 6th to august 5th a range of 32 days, This data will be used to access the a…

  5. Amazon-Data-Science-Books-EDA Amazon-Data-Science-Books-EDA Public

    I perform eda in pyhton to suggest the best books for learning python(in relation to data science) and ML on amazon. The data contains book names prices, ratings, weight,publisher etc.

    Jupyter Notebook

  6. House-price-prediction House-price-prediction Public

    Using machine learning techniques to predict house prices. Also looking into what makes a house more expensive.

    Jupyter Notebook