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In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

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Conclusion In conclusion, Python provides a vast array of libraries for machine learning and AI, making it a popular choice for developers and data scientists.

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

YouTube channels offer a treasure trove of data science knowledge. Unravel the art of data analysis, machine learning models, data visualization and statistical techniques.

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.