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Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

License: The Unlicense

Python 1.89% Jupyter Notebook 98.11%
catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost

yandexcatboost-python-demo's Introduction

Hi there! I'm Kwok Hing, a passionate Data Scientist using Machine Learning, in particular, Natural Language Processing (NLP) and Generative AI (GenAI) to obtain insights, predict outcomes, as well as automate / optimise processes

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๐Ÿ“„ Skills:

๐Ÿ“Š Data Science Languages: Python, R, SQL
๐Ÿค– Machine Learning: scikit-learn, TensorFlow, PyTorch
๐Ÿงช Reinforcement Learning: Stable-Baselines3
๐Ÿ“š Natural Language Processing: NLTK, Gensim, spaCy, Transformers, BERT, S-BERT, HuggingFace
๐Ÿงฎ Generative AI: Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, Azure OpenAI
๐Ÿ“ˆ Data Visualization: Tableau, Power BI
๐Ÿ› ๏ธ Web Applications: Gradio, Streamlit, Flask, Bootstrap, CSS

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๐Ÿ“ซ Connect with Me:

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