This course on Machine Learning with Python for Beginners aims to help learners understand the fundamentals of machine learning using Python. By the end of the course, students will be able to grasp the concepts of NumPy, Pandas, Matplotlib, Seaborn, Logistic Regression, Linear Regression, Naive Bayes, and Deep Learning. The teaching method includes tutorials, demonstrations, and examples to ensure a comprehensive understanding. This course is intended for beginners who are interested in starting their journey in machine learning using Python.
Overview
Syllabus
➤ Skip Intro: .
Introduction.
Agenda.
Numpy.
Pandas.
Matplotlib.
Seaborn.
Machine Learning Concepts.
Linear Regression.
Logistic Regression.
Naive Bayes.
Deep Learning.
Taught by
Great Learning
