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zinaliashenko/README.md

Hi there 👋

My name is Zina and I am a beginner in Data Science. This repository is my laboratory where I learn and apply the core concepts and skills in this exciting field.

🌻My interests

  • 🐍Programming languages: I am learning Python.
  • 🚀Machine learning: I am interested in classification and clustering algorithms, recommendation systems, and NLP.
  • 📊Data Visualization: Experimenting with libraries like Matplotlib and Seaborn.
  • 📌Projects: I plan to work on projects related to real data and solving practical problems.

🎨Projects in this repository

In this repository you will find the following:

  • 📗Notebooks: My study materials and data analysis.
  • 📑Scripts: My Python scripts that I use to process data and solve problems.
  • 📈Data: I save the data I work with in my projects.

👪Learning together

I am always open to study and cooperation. If you have any tips, comments, or suggestions, please let me know! I will be grateful for any help or sharing of experience.

📫 How to reach me:

LinkedIn   Email   Telegram   GitHub

Thank you for your interest!

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  1. key_cluster_project key_cluster_project Public

    A desktop keyword clustering program with a graphical interface allows to load keyword phrases and automatically combine them into meaningful clusters.

    Python

  2. accelerometer-activities-classifier accelerometer-activities-classifier Public

    This Python code uses data from a mobile phone's accelerometer to classify human activities such as walking, standing, running, and climbing stairs.

    Jupyter Notebook

  3. finalCapstone finalCapstone Public

    The code analyzes product reviews using spaCy and SpacyTextBlob, providing insights into sentiment and similarity between reviews.

    Python

  4. kmeans-PCA-elbow-method kmeans-PCA-elbow-method Public

    The scripts use data from the mnist.csv and data_2d.csv files to determine the optimal number of clusters using the 'Elbow' method. After determining the number of clusters in both cases, the KMean…

    Jupyter Notebook

  5. matrix-factorization-algos matrix-factorization-algos Public

    This project is devoted to the use of matrix factorization algorithms for recommender systems such as SVD, SVDpp, and NMF

    Jupyter Notebook

  6. nlp-text-summarizer nlp-text-summarizer Public

    The code uses the NLTK library to process text and generate a summary.

    Python