COURSE IN PYTHON WITH MACHINE LEARNING - Contents
COURSE IN PYTHON WITH MACHINE LEARNING
This course covers supervised and unsupervised learning, deep learning, image processing, and generative adversarial networks, providing a broad overview of machine learning applications using Python.
Module 1
Core Python refers to the foundational aspects of the Python programming language, encompassing its syntax, data types, control structures, functions, and modules. It provides essential skills for developing applications, automating tasks, and scripting in various domains.
Module 2
DATA SCIENCE
Data science is an interdisciplinary field that uses statistical methods, algorithms, and tools to extract insights and knowledge from structured and unstructured data. It combines elements of mathematics, programming, and domain expertise to solve complex problems.
Module 2
MACHINE LEARNING
Machine learning is a subset of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It involves algorithms that improve their accuracy over time through experience.
Module 2
INTRODUCTION OF DEEP LEARNING
Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in data. It excels at tasks like image recognition, natural language processing, and autonomous systems, mimicking human brain processes.
