🙌Welcome to My Portfolio

Hi👋, I'm Abylay. Here is the a structured view on things I did or am doing or tried to do or trying to do. Some deployed, some on github.

Esports Outcome Predictor

Python, Selenium, Sklearn, XGBoost, CatBoost, LightGBM, PostgreSQL, SHAP, Pandas, Matplotlib, Seaborn, FastAPI

End-to-end ML project to predict the outcomes of professional CS2 matches.

Try Out Github

Web Query Chatbot

Python, OpenAI API, ChatGPT4o-mini, Docker, LlangChain, Telegram Chatbot

A project I made for fun with OpenAI API to query the web with gpt4o-mini.

Try Out Github

Hackathon: Fire Detection contest

Python, Tensorflow, Keras

Second place at Hackathon. Identifying fire on images.

Github

Computer Vision Tasks

Pytorch, HuggingFace Transformers, HuggingFace Datasets, HuggingFace Metrics

Solving various Computer Vision tasks. Mainly for practice or testing some ideas and being up-to-date.

Github

Tensorflow Practice

Tensorflow, Keras

Some exercises I am doing while practicing Tensorflow/Keras

Github

Esports Outcome Predictor v2.0

Python, Selenium, Sklearn, XGBoost, CatBoost, LightGBM, PostgreSQL

Another Dataset - Same task.

Github

Practice Statistics with Python

Python, Scipy, Statsmodels

Some Statistics with Python.

Github

Data Visualizations with Python

Python, Matplotlib, Seaborn

Some Data Visualizations with Python.

Github

Kaggle Spaceship Titanic

Python, Sklearn, XGBoost, CatBoost, LightGBM, Optuna, Matplotlib, Seaborn

Got top5% submission. Focused on ensemble methods: stacking, blending, voting, ranking

Github