We bring you a tutorial on Machine Learning with Python for Beginners! Machine Learning, also considered a subset of Artificial Intelligence, is the process of a computer being programmed with the ability to self-learn and improve itself on a particular task. Python is one of the most famous programming languages in the world and is favoured in the field of machine learning because of its simple and flexible syntax, its ability to work with multiple paradigms, and the ease with which it combines with other software components. These factors have made Python be the most favoured programming language with machine learning, which is exactly why so many people want to learn it today.

Great Learning brings you this tutorial on Machine Learning with Python for Beginners to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts learning 4 important Python libraries: NumPy, Pandas, Matplotlib and Seaborn. Then we look at the concepts of Machine Learning in detail, along with Logistic Regression and Linear Regression. Following this, we will understand the topics of Naive Bayes and Deep Learning. This video teaches Machine Learning with Python and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

• 1:21 - Agenda
• 1:53 - Numpy
• 38:22 - Pandas
• 1:02:55 - Matplotlib
• 1:49:29 - Seaborn
• 2:29:28 - Machine Learning Concepts
• 3:50:42 - Linear Regression
• 4:43:31 - Logistic Regression
• 6:02:16 - Naive Bayes
• 7:40:59 - Deep Learning

#machine-learning #python #numpy #pandas #matplotlib