God-Level Data Science Machine Learning Full Stack Roadmap 2023
Data Structure is the most important thing to learn not only for data scientists but for all the people working in computer science. With data structure, you get an internal understanding of the working of everything in software.
Python supports n-dimensional arrays with NumPy. For data in 2 dimensions, Pandas is the best library for analysis. You can use other tools but tools have drag-and-drop features and limitations. Pandas can be customized as per the need as we can code depending upon the real-life problem.
The best way to master machine learning algorithms is to work with the Scikit-Learn framework. Scikit-Learn contains predefined algorithms and you can work with them just by generating the object of the class. These are the algorithm you must know including the types of Supervised and Unsupervised Machine Learning:
You can master any one of the cloud services providers from AWS, GCP, and Azure. You can switch easily once you understand one of them.
If you are interested in working with Text, you should do some of the work an NLP Engineer do and understand the working of Language models.
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