{"id":3375,"date":"2026-08-10T09:04:23","date_gmt":"2026-08-10T09:04:23","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-and-machine-learning-in-python-linear-models-2022-11\/"},"modified":"2026-08-10T09:04:23","modified_gmt":"2026-08-10T09:04:23","slug":"udemy-data-science-and-machine-learning-in-python-linear-models-2022-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-science-and-machine-learning-in-python-linear-models-2022-11\/","title":{"rendered":"Udemy \u2013 Data Science and Machine Learning in Python: Linear models 2022-11"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Course Data Science and Machine Learning in Python: Linear models. Companies face a problem: they collect and store massive amounts of data every day. The problem is that they do not have the necessary tools and ability to extract knowledge and make decisions from this data. But this situation is changing. The demand for data scientists has increased exponentially in the last few years. The demand is so high that there are not enough people with these skills to fill all the positions. With a simple search on job sites like Indeed, you\u2019ll see why salaries for data scientists have risen significantly in recent years.<\/span><\/p>\n

Almost all courses on the market are either too theoretical or too practical. College courses typically don\u2019t build the skills necessary to solve data science problems from scratch, nor do they teach you how to use the necessary software fluently. On the other hand, many online courses and bootcamps teach you how to use these techniques without having a deep understanding of them and skimming through the theory.<\/span><\/p>\n

This course combines the best of both methods. On the one hand, we look at the origin of these methods and why they are used and understand why they work the way they do. Alternatively, we program these methods from scratch using the most popular data science and machine learning libraries in Python. Only when you understand exactly how each algorithm works will we learn how to use them with advanced Python libraries.<\/span><\/p>\n

course content<\/span><\/h3>\n