Machine Learning

Опубликовано: 19 Январь 2025
на канале: Scientific Programming School

140

This Course is developed by AI SCIENCES ACADEMY. AI SCIENCES provides free courses and tutorials in Data Science, Machine Learning and AI.

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AI Sciences is e-learning company; the company publish online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, PhD students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.

Contents (Merged into One Video)
Welcome to the Course
Introduction part to Data science and machine learning
Preliminary to understand Data Science and Machine learning
Machine learning Models
Evaluate Model Performance
Best practices in data science and machine learning
Conclusion

Once you’ve got some Python skills, you’ll want to learn how to work with and manipulate data. To do so, you should get familiar with pandas, NumPy and Matplotlib. Pandas will help you work with dataframes, these are tables of information like you would see in an Excel file. Think rows and columns. This kind of data is called structured data. NumPy will help you perform numerical operations on your data. Machine learning turns everything you can think of into numbers and then finds the patterns in those numbers. Matplotlib will help you make graphs and visualizations of your data. Understanding a pile of numbers in a table can be hard for humans. We much prefer seeing a graph with a line going through it. Making visualizations is a big part of communicating your findings.

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