Learn Machine Learning, Data Science and Deep Learning with Python
Sub Category
- Data Science
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Objectives
- Gain proficiency in using Python libraries commonly used in data science and machine learning, such as NumPy, Pandas, and Matplotlib.
- Learn how to clean and preprocess datasets, including handling missing data, outliers, and feature scaling.
- Acquire knowledge of exploratory data analysis techniques to extract insights and patterns from data.
- Master the fundamentals of statistical analysis and apply statistical methods to interpret and draw conclusions from data.
- Understand the principles of machine learning and its various algorithms, such as regression, classification, and clustering.
- Learn how to select appropriate machine learning models and techniques for different types of problems and datasets.
- Develop skills in feature engineering and selection to enhance the performance of machine learning models.
Pre Requisites
- Just passion for learning!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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