MyDataSciencePortfolio and Projects
These are competitors—both are standalone portfolio repositories showcasing individual data science projects and skills, serving the same purpose of demonstrating applied ML expertise to potential employers or collaborators.
About MyDataSciencePortfolio
KevinLiao159/MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
Covers multiple ML domains including customer churn prediction, topic modeling with both scikit-learn and Apache Spark, and collaborative filtering recommender systems using KNN, ALS, and neural networks in Keras. Demonstrates distributed computing approaches for large-scale analysis, contrasting single-machine workflows with Spark's fault-tolerant cluster computing for processing at scale. Includes hands-on NLP implementations across NLTK, spaCy, and Gensim libraries, with notebooks designed for portability across Jupyter, Databricks, and Google Colab environments.
About Projects
MaartenGr/Projects
Data Science Portfolio
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