Skip to content
View azamatolegen's full-sized avatar

Block or report azamatolegen

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
azamatolegen/README.md
  • 👋 Hi, I’m Azamat Tolegen
  • 👀 I'm a data scientist who is deeply interested in neural networks, natural language processing, and gathering best practices of machine learning in production.
  • 📫 Reach me on LinkedIn and Twitter

📝 Projects I am recently working on:

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models [PyTorch, Flask API, Docker, Heroku]

Churn Prediction with PySpark [PySpark, AWS EMR]

Riiid Answer Correctness Prediction: Feature Creation + Modeling + Inference [Python, scikit-learn, LightGBM, Matplotlib ]

Popular repositories Loading

  1. pytorch-sentiment-analysis pytorch-sentiment-analysis Public

    Forked from bentrevett/pytorch-sentiment-analysis

    Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

    Jupyter Notebook

  2. machine-learning-project-walkthrough machine-learning-project-walkthrough Public

    Forked from WillKoehrsen/machine-learning-project-walkthrough

    An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…

    Jupyter Notebook

  3. pytorch-recommendation_systems pytorch-recommendation_systems Public

    PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

    Jupyter Notebook

  4. pyspark-churn-prediction pyspark-churn-prediction Public

    The project aims to explore user interaction data to build classification model to predict customer churn with PySpark.

    Jupyter Notebook

  5. kaggle-Riiid-prediction-LightGBM kaggle-Riiid-prediction-LightGBM Public

    My solution (bronze medal) to kaggle competition - Riiid Answer Correctness Prediction

    Jupyter Notebook

  6. azamatolegen azamatolegen Public

    Config files for my GitHub profile.