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  • Advalange
  • Moscow

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shimolina-polina/README.md

Hi, my name is Polina

Data science BMSTU student

About me

I am a junior data scientist, studying at Bauman Moscow State Technical University. I have already learned how to analyze data using python and work with BI tools. I have also worked with databases using MS Access and MySQL. At the moment I am studying machine learning and neural networks.

My skills

Python MySQL Microsoft Office Microsoft Access NumPy Pandas Matplotlib Plotly scikit-learn TensorFlow OpenCV C++ C# .Net Power Bi Figma Kaggle Django HTML5 CSS3 Jupyter Notebook CLion PyCharm Visual Studio

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Project Name Description
Lungs classification Lungs classification into 2 classes: healthy and pneumonia. 91% accuracy
Computer vision makeup selection A Python program using OpenCV, which provides the ability to interactively select makeup from a given set and overlay in a video stream from a video camera in real time.
Streamlit model training Demonstration of machine learning models using web application
HH.ru vacancies analysis Analysis of vacancies with use of hh.ru OpenAPI
Time series Time series analysis and forecasting
KNN Preparation of training and test samples, cross-validation and selection of hyperparameters on the example of the nearest neighbor method.
Decision trees Linear models, SVM and decision trees
Ensembles Ensembles of machine learning models
Exploratory data analysis Data exploration and visualization
Processing of data Processing of data gaps, coding of categorical features, data scaling.
YouTube video analysis Data Optimization, data Cleaning, data Processing, hypotheses and visualization
Game sales analysis Data analysis and visualisation
Predicting telecom churn Predicting behavior to retain customers. Analysis of all relevant customer data. Training random forest model

Typing SVG

Popular repositories Loading

  1. exploratory-data-analysis exploratory-data-analysis Public

    Data exploration and visualization

    Jupyter Notebook 1

  2. processing-of-data processing-of-data Public

    Processing of data gaps, coding of categorical features, data scaling.

    Jupyter Notebook 1

  3. KNN KNN Public

    Preparation of training and test samples, cross-validation and selection of hyperparameters on the example of the nearest neighbor method.

    Jupyter Notebook 1

  4. decision-trees decision-trees Public

    Linear models, SVM and decision trees

    Jupyter Notebook 1

  5. ensembles ensembles Public

    Ensembles of machine learning models

    Jupyter Notebook 1 1

  6. interactive-makeup-selection interactive-makeup-selection Public

    A Python program using OpenCV, which provides the ability to interactively select makeup from a given set and overlay in a video stream from a video camera in real time.

    Python 1