Python Course for Beginners - From Scratch to Advance
Basic Python syntax and data types - Control flow statements - Modules and packages - Working with lists, dictionaries
Updated on Jun, 2024
Language - English
Python Programming,Development,Programming Language,Python
Lectures -18
Duration -6 hours
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Course Description
Welcome to the comprehensive course on Python programming for machine learning! In this course, you will master the fundamentals of Python programming and apply them to various data analysis and machine learning projects. You will learn how to use libraries like NumPy, Pandas, Scikit-learn, and TensorFlow to build and train machine-learning models.
The course is designed to be perfect for beginners or experienced programmers looking to expand their skills in Python programming and machine learning. You will get hands-on practice with coding exercises and interactive projects, which will help you apply what you learn and reinforce your understanding of the concepts.
The course starts with an introduction to Python programming, covering the basic syntax, variables, data types, and control structures. Then, you will move on to more advanced topics such as functions, modules, and file I/O. Along the way, you will learn how to use Python for data analysis and visualization, and how to work with various data structures such as lists, dictionaries, and tuples.
The course also covers the basics of machine learning, including supervised and unsupervised learning, and introduces various machine learning algorithms such as linear regression, logistic regression, and k-nearest neighbors. You will learn how to evaluate machine learning models and how to use TensorFlow, a popular deep learning library, to build and train neural networks.
Goals
- By the end of this course, you will have a solid foundation in Python programming and machine learning, and the skills and confidence to build your own programs and projects. Whether you're looking to start a career in data science or just want to expand your programming skills, this course is the perfect starting point. Enroll now and take the first step towards mastering Python programming for machine learning!
Prerequisites
- First of all, you don't need any programming experience to take this course. We'll start from the very basics and build up from there.
- However, you should be comfortable using a computer. You should know how to use a mouse and keyboard, and how to navigate the internet.
- You'll also need a computer to work on. It can be a desktop or laptop, as long as it can connect to the internet. We'll be using a website to write and run our Python code, so you won't need to download any special software.
- Finally, you should be excited to learn! Programming can be challenging, but it's also a lot of fun. If you're willing to put in the effort, I know you can do it!
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Python Tutorial - Introduction
05:18
05:18
Python Fundamentals
17 Lectures
Instructor Details
Muhammed Songur
Highly motivated software and machine learning engineer with expertise in Python, C++, JavaScript, Dart, SQL, and Excel. Proven track record of designing and implementing scalable and efficient software solutions for various industries. Experienced in developing machine learning models for data analysis, computer vision, and natural language processing.
Skills
Proficient in Python, C++, JavaScript, Dart, SQL, and Excel.
Strong knowledge of machine learning algorithms and libraries such as TensorFlow, Keras, Scikit-learn, and PyTorch.
Experience in developing software applications for web, desktop, and mobile platforms using various frameworks and libraries.
Strong problem-solving skills and ability to work collaboratively in a team environment.
Course Certificate
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