Hi there!
My name is Nhi and I am a Data Scientist with a background in Finance. I started my journey in Data Science and Machine Learning from scratch, so I understand the challenges that beginners in this field face.
I am passionate about sharing my knowledge and helping others learn. That's why I write blogs on Medium and create DS/ML projects on Kaggle & Github to explain the complexities of data in a simple and approachable way. I hope that my work is helpful to beginners in the field and that it inspires them to keep learning and growing.
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Credit Card Fraud Detection: A Hands-On Project
How can we minimize the risk? Although there are various techniques to decrease losses and prevent fraud, I will guide you through my approach and share my discoveries READ MORE
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From Customer Service to Data Analyst: My Journey and Tips for Beginners
In this article, I will highlight the key steps I took to enter the world of data, the resources I utilized, and the lessons I learned along the way READ MORE
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Google’s Free Must-Take Courses for Your Machine Learning Journey in 2023
Top free courses offered by Google in 2023, designed to provide a solid foundation for beginners in data science and machine learning READ MORE
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Mastering Bitcoin Book: Exploring the Role of Data Science in Cryptocurrencies by Andreas Antonopoulos
Data science has been a key driver in the development of cryptocurrencies, and the book “Mastering Bitcoin” by Andreas Antonopoulos provides valuable insights into the role of data science in this field. Read More
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How Google Trains AI with Your Help through CAPTCHA
As technology continues to evolve, artificial intelligence (AI) is becoming an increasingly important part of our lives. From voice assistants to personalized ads, AI is being used to make our lives easier and more convenient. But have you ever wondered how AI is trained? Read More
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The Importance of Statistics Concepts in Data Science and Machine Learning
Statistics is an integral part of Data Science and Machine Learning, providing a framework for collecting, analyzing, and interpreting data. In today’s data-driven world, businesses and organizations require the insights provided by data to make informed decisions. Read More
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