khanhnamle1994/applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
This guide provides a structured approach for individuals looking to understand and implement various machine learning techniques. It takes you through fundamental concepts like linear algebra and statistics, then progresses to practical applications such as time series forecasting and natural language processing. Aspiring data scientists, analysts, or researchers seeking to apply machine learning in their work will find this resource beneficial.
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Use this if you are a beginner or intermediate practitioner who wants to learn how to apply machine learning models to real-world data and problems.
Not ideal if you are an experienced machine learning engineer looking for advanced research topics or production-level deployment strategies.
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Oct 03, 2018
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