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YanaYakovleva2018/README.md

🌟 Welcome to My GitHub Profile!

πŸ‘‹ I'm Yana, an aspiring Python developer with a passion for crafting clean code and building exciting projects. Currently enrolled in a comprehensive Python development course at the "Go It" school, I'm on a mission to enhance my coding prowess and make a mark in the world of software development.

About Me

πŸŽ“ Education: I hold a degree in Computer Engineering, which has equipped me with a strong foundation in computer science fundamentals and problem-solving skills.

🐍 Python Enthusiast: Python has captured my heart with its elegance and versatility. As a dedicated learner, I'm mastering the language's intricacies and exploring its wide range of applications.

Journey and Goals

🌐 Web Development: While my journey started with Python, I'm also delving into web development technologies. From HTML and CSS to JavaScript, I'm expanding my skill set to create dynamic and user-friendly web applications.

🀝 Collaboration: I'm actively seeking opportunities to collaborate on open-source projects and learn from experienced developers. Building real-world projects while working with a community excites me.

πŸš€ Aspirations: My goal is to secure a rewarding role in development where I can contribute my skills, learn continuously, and be a part of innovative projects that make a difference.

Let's Connect!

πŸ“¬ I'm open to connecting with fellow developers, tech enthusiasts, and industry professionals. Whether it's discussing code, sharing insights, or exploring potential collaborations, I'd love to hear from you.

🌐 Find me here on GitHub and connect with me on LinkedIn. Let's learn, code, and create together!

Looking forward to the journey ahead and making meaningful contributions to the world of coding! πŸš€

πŸ›  Technical Stack

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  1. Challenge-Data-Description-2016 Challenge-Data-Description-2016 Public

    This repository hosts a predictive maintenance challenge focused on the analysis of multiple multivariate time series data sets. Each data set represents the operational behavior of engines within …

    Jupyter Notebook

  2. face-recognition face-recognition Public

    Face recognition on a set of test images using the face_recognition library, OpenCV, and Python

    Python

  3. Reviews-classification Reviews-classification Public

    Code for sentiment analysis on text data, specifically classifying text reviews as either "Negative" or "Positive" sentiments using a binary classification model.

    Jupyter Notebook

  4. CLI_contact_bot CLI_contact_bot Public

    A console bot assistant that recognizes commands entered from the keyboard and responds accordingly.

    Python

  5. Mayvsyanka/bayraktarogram Mayvsyanka/bayraktarogram Public

    Python

  6. DeepLearning.AI_TensorFlow_Developer DeepLearning.AI_TensorFlow_Developer Public

    DeepLearning.AI TensorFlow Developer from DeepLearning.AI partner on Coursera

    Jupyter Notebook