MyDataSciencePortfolio and Erlemar.github.io
About MyDataSciencePortfolio
KevinLiao159/MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
This collection of projects helps business stakeholders understand critical business metrics and user behavior. It provides examples of how to analyze data, such as customer transaction histories or blog post content, to generate insights like why customers leave or what topics are trending. Business analysts, product managers, and marketing professionals can use these examples to understand their customers better and inform strategic decisions.
About Erlemar.github.io
Erlemar/Erlemar.github.io
Data science portfolio
This portfolio showcases various data science projects, from identifying handwritten digits and building a Telegram chatbot to competing in Kaggle challenges focused on demand prediction, purchase categorization, and sentiment analysis. It takes raw data, such as images, text, and tabular datasets, and processes them to generate predictions, classifications, or analytical insights. Data scientists, machine learning engineers, and researchers can explore these examples to understand practical applications of machine learning algorithms across diverse domains.
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