AI & ML w/ Python-2022-Practical Hands On with Minimum Maths

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Are you ready to embark on a transformative journey into the world of AI and Machine Learning (ML) using the power of Python? With the AI & ML with Python course, you'll be equipped with hands-on experience that will enable you to grasp these complex concepts with ease. 🤖⚫️

Course Objective

Our goal is to introduce you to the fascinating fields of Artificial Intelligence and Machine Learning in a practical, applied manner. Python is the tool we'll be using throughout our journey, so having a grasp of Python programming is essential for success in this course. 🐍

• Why Python? Because it's versatile, widely used in the tech industry, and ideal for AI and ML applications! Plus, if you're new to Python, we've got you covered with our FREE Python course - also recently updated for your learning convenience. 🚀

Learning Outcomes

Upon completing this comprehensive course, you will:

✅ Develop Multiple Programs for Machine Learning: Gain hands-on experience with various ML programs that will solidify your understanding of the concepts.

✅ Complete Projects for Machine Learning: Work on real-world projects that showcase your new skills and understanding of AI and ML applications.

✅ Develop a Complete ML Model: Learn how to build an end-to-end machine learning model from scratch.

Understand the Core Concepts

This course will answer some of the most fundamental questions in AI and ML, such as:

• What is the difference between AI and ML?
• How do they complement each other within the broader context of data science?
• What are Deep Learning (DL), Natural Language Processing (NLP), Artificial Neural Networks (ANN), Deep Neural Networks (DNN), and more?
• Why do we use platforms like Anaconda, Spyder, and Jupyter for ML projects?

Become a Skilled Developer

You'll also gain practical skills in:

• Setting up your Machine Learning development environment with Python.
• Developing machine learning applications using Python libraries and tools.

Course Structure & Content Overview

Here's what you can expect from this course:

1. Introduction to AI, ML, and Python: We start by laying the groundwork for understanding these three core components.

2. Key Components of AI and ML Explained: We delve into the specifics of DL, NLP, ANN, DNN, and more, ensuring you have a solid theoretical foundation.

3. Environment Setup with Python: We guide you through setting up your development environment with Python, Anaconda, Spyder, and Jupyter.

4. Hands-On Machine Learning Projects: You'll work on a series of projects that will gradually build up your skills to handle more complex problems.

5. Final ML Model Development: The culmination of the course is developing a complete machine learning model, which you'll be proud to showcase in your portfolio.

6. Capstone Project: A comprehensive project that ties together everything you've learned throughout the course.

By the end of this course, you won't just understand AI and ML; you'll have the practical skills to apply them effectively. Join us on this exciting learning adventure and transform your career with AI & ML! 🌟

Enroll now and take the first step towards mastering AI and Machine Learning with Python! 🚀📚