Udemy – Data Science, AI, Machine Learning with Python 2024-7

Published on: 2024-08-17 22:38:28

Categories: 28

Description

Data Science, AI, Machine Learning with Python course. This comprehensive course introduces you to the exciting world of data mining, artificial intelligence and machine learning using the Python programming language. By participating in this course, you will be able to extract valuable knowledge and insights from structured and unstructured data.

What you will learn:

Basic concepts: You will get acquainted with the fundamental concepts of data mining, artificial intelligence and machine learning and get a complete understanding of these areas.
Python environment: Learn how to set up and configure the Python programming environment and get ready to work with data.
Python Programming: You will learn the basics of Python programming for use in the field of data mining, artificial intelligence and machine learning and strengthen your coding skills.
Importing data: You will learn different methods of importing data into the Python environment and prepare it for analysis.
Exploratory Data Analysis: Using descriptive statistical methods, you explore your data and gain initial insights from it.
Probability theory and inferential statistics: You will get acquainted with the concepts of probability and inferential statistics and prepare for data modeling.
Data visualization: Using Python tools, you display your data graphically and present the results of your analysis visually.
Data Cleaning, Manipulation and Preprocessing: You will learn different ways to clean, manipulate and prepare data for modeling.
Predictive modeling and machine learning: you will learn about different machine learning algorithms and create predictive models to solve different problems.

This course is suitable for people who:

Data scientists and machine learning engineers
Newbies and those interested in entering the field of data mining and machine learning
People who are interested in data mining and artificial intelligence
Software developers and engineers
Data analysts and business analysts
Researchers and academics
IT and data professionals
Managers and executives
Entrepreneurs and startups