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Enyaude/README.md
Profile Picture

Hello, I'm Samuel Idinotu Enyaude! ๐Ÿ‘‹

Data Scientist | Machine Learning Engineer | IT Support Specialist | Django Developer | Tech Enthusiast

Fondly called Engr. Sam ๐Ÿ˜„


๐Ÿš€ About Me

I'm a passionate Data Scientist and Machine Learning Engineer with a knack for turning data into actionable insights. My interests span Machine Learning, Natural Language Processing, Generative AI, MLOps, Deep Learning, Robotics, System Administration, and IT Support. I love building intelligent systems and exploring innovative solutions to real-world problems.

๐ŸŒŸ Currently exploring: Advanced NLP models, scalable MLOps pipelines, and robotics applications.


๐Ÿ› ๏ธ Skills & Tools

Python TensorFlow PyTorch Scikit-Learn Pandas NumPy Jupyter Git Power BI Django Flask FastApi

Technical Interests: Machine Learning, Natural Language Processing, Generative AI, System Administration, IT Support, Robotics, MLOps, Deep Learning


๐ŸŒ Portfolio & Projects

Check out some of my highlighted projects:

๐Ÿ‘‰ Visit my Online Portfolio for a comprehensive showcase of my work.


๐Ÿ“ฌ Connect with Me


๐ŸŽ‰ Hobbies & Interests

When I'm not coding, you can find me:

  • โœˆ๏ธ Traveling to explore new cultures and places
  • ๐ŸŽน Playing music or listening to my favorite tunes
  • ๐Ÿ’ป Coding for fun, because who says work can't be play?

Built with ๐Ÿ’– by Samuel Enyaude | Always learning, always building!

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  1. Data_Science_Python_Module_Model Data_Science_Python_Module_Model Public

    This repository contains the code and modules created for a data analysis project aimed at analyzing agricultural data from Maji Ndogo farm. The project involves various tasks like creating python โ€ฆ

    Jupyter Notebook

  2. Integrated-Project-Maji-Ndogo-Part-1 Integrated-Project-Maji-Ndogo-Part-1 Public

    Explore Maji Ndogo's water quality analysis project, where a detailed 60,000-record database is used to identify pollution hotspots and guide intervention strategies. Leveraging Python, MySQL, and โ€ฆ

    Jupyter Notebook

  3. Telecoms-Customer-Churn-Analysis-with-Python Telecoms-Customer-Churn-Analysis-with-Python Public

    Customer churn is the phenomenon in which a client stops doing business with an entity. Users can stop using a companyโ€™s product or service for a variety of reasons, such as affordability, dissatisโ€ฆ

    Jupyter Notebook

  4. Email-Spam-Detection-App Email-Spam-Detection-App Public

    This project demonstrates a practical approach to spam detection using machine learning and its deployment as a web application

    Python

  5. Sentiment_Analysis_of_Movie_Reviews_App Sentiment_Analysis_of_Movie_Reviews_App Public

    This GitHub repository explores sentiment analysis using movie reviews from Rotten Tomatoes. The project aims to identify words that appear more frequently in positive ("fresh") and negative ("rottโ€ฆ

    Python

  6. California_House_Price_Prediction California_House_Price_Prediction Public

    Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

    Python