categories: Technology, Science & Productivity
Understand the principles of AI and its advanced applications, and learn the basics of the Python programming language and use it to develop solutions to artificial intelligence problems.
Identify how to collect and organize the required data through the Pandas and Numpy libraries, then analyze this data and build insights from it.
Understand how to write clean Python code, and you'll also learn a variety of machine learning algorithms such as deep neural networks.
Evaluate the performance of AI models and analyze the results. You will be able to create and deploy a complete AI project.
Free lessons
Project Deployment
What Is Artificial Intelligence Part1
Preproccessing Part 2
PANDAS Part 1
1. Course Introduction
Introduction to the course
2. What Is Artificial Intelligence
What Is Artificial Intelligence Part1
What Is Artificial Intelligence Part2
3. Introduction to Python
Introduction to Python Programming
Python Programming Part 1
Python Programming Part 2
Python Programming Part 3
4. Python Machine Learning Packages
Lists
Dictionaries
Tuples & Sets
NUMPY
Matplotlib
PANDAS Part 1
PANDAS Part 2
Stats for Machine Learning
5. Data Preprocessing
Introduction to Machine Learning
Regression Theory
Regression Practical
Poly Theory
Poly Practical
KNN Theory
KNN Practical
6. Machine Learning - Regression Algorithms
Intro to SKLearn
Preprocessing Part 1
Preproccessing Part 2
7. Machine learning - Classification algorithms
Classification Practice Part 1
Classification Practice Part 2
Classification Practice Part 3
8. Machine learning - Unsupervised Clustering
Clustering Theory
Clustering Practice
9. Deep Neural Networks
Difference between DL & ML
Deep Learning Theory Part 1
Deep Learning Theory Part 2
Deep Learning Practice
10. Model Deployment
Project Deployment
11. Summary
Wrap up
In a rapidly advancing tech world, grasping artificial intelligence (AI) and machine learning (ML) is paramount. This course is pivotal in unraveling this realm, exploring modern technologies and algorithms underpinning AI's ubiquity. Starting with AI basics, we'll unveil how computers emulate human intelligence. Transitioning to Python programming, the cornerstone of ML development, you'll adeptly code and implement algorithms. Learn data aggregation techniques crucial for training intelligent models. Delve into diverse ML algorithms, including deep neural networks, honing your skill to select and deploy apt algorithms for varied tasks. But the thrill doesn't end there â embark on crafting a full-fledged AI project. Join us now to embark on this journey into a world teeming with challenges and opportunities.
There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.
Machine learning specialist
596 Learners
2 Course