Python AI Machine Learning, OpenCV
- Development
- Apr 17, 2025

Python AI Machine Learning, OpenCV, available at $54.99, has an average rating of 3.95, with 37 lectures, 7 quizzes, based on 11 reviews, and has 79 subscribers.
You will learn about Artificial Intelligence Machine Learning Neural Network Deep Learning Important algorithms in AI Machine Learning OpenCV AI plays Flappy Bird Image Classification Text Classification Tensorflow PyGame Numpy Keras Pandas Matplotlib This course is ideal for individuals who are People curious about AI Machine Learning and OpenCV or Python Developers curious about AI Machine Learning and OpenCV It is particularly useful for People curious about AI Machine Learning and OpenCV or Python Developers curious about AI Machine Learning and OpenCV.
Enroll now: Python AI Machine Learning, OpenCV
Summary
Title: Python AI Machine Learning, OpenCV
Price: $54.99
Average Rating: 3.95
Number of Lectures: 37
Number of Quizzes: 7
Number of Published Lectures: 37
Number of Published Quizzes: 7
Number of Curriculum Items: 44
Number of Published Curriculum Objects: 44
Original Price: ?999
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Ready to explore machine learning and artificial intelligence in python? This python Artificial Intelligence machine learning and OpenCV course (A-Z) contains 5 different series designed to teach you the ins and outs of Machine Learning and Artificial intelligence. It talks about fundamental Machine Learning algorithms, neural networks, Deep Learning, OpenCV and finally developing an Artificial Intelligence that can play the game of Flappy Bird.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the course
Chapter 2: Introduction to Artificial Intelligence and Machine Learning
Lecture 1: Introduction to Machine Learning and Artificial Intelligence
Lecture 2: Machine Learning Linear Regression part 1
Lecture 3: Machine Learning Linear Regression part 2
Lecture 4: Saving and Plotting Data
Lecture 5: Machine Learning K-Nearest Neighbors Part 1 :Data Handling
Lecture 6: Machine Learning K-Nearest Neighbors Part 2 :Understanding KNN
Lecture 7: Machine Learning K-Nearest Neighbors Part 3 :Implementing KNN
Lecture 8: Machine Learning SVM Part 1: Data Handling
Lecture 9: Machine Learning SVM Part 2: Understanding SVM
Lecture 10: Machine Learning SVM Part 3: Implementing SVM
Chapter 3: Neural Networks
Lecture 1: Introduction to Neural Network
Lecture 2: Machine Learning Image Classification Part 1
Lecture 3: Machine Learning Image Classification Part 2
Lecture 4: Machine Learning Image Classification Part 3
Lecture 5: Machine Learning Text Classification and Comment Analysis Part 1
Lecture 6: Explaining previous code in detail
Lecture 7: Machine Learning Text Classification and Comment Analysis Part 3
Lecture 8: Machine Learning Text Classification and Comment Analysis Part 4
Chapter 4: OpenCV
Lecture 1: OpenCV Part1 Introduction
Lecture 2: OpenCV Part2 Basic Functions
Lecture 3: OpenCV Part3 Resize and Crop
Lecture 4: OpenCV Part4 Shapes and Text
Lecture 5: OpenCV Part5 Warp Perspective
Lecture 6: OpenCV Part6 Real-Time Color Detection
Lecture 7: OpenCV Part7 Simple Face Detection
Lecture 8: OpenCV Part8 Shape Detection
Lecture 9: OpenCV Part9 Number Plate Detection
Lecture 10: OpenCV AI Face Recognition
Chapter 5: PyGames Basic
Lecture 1: Pygame Basics Part 1
Lecture 2: Pygame Basics Part 2
Lecture 3: Pygame Basics Part 3
Chapter 6: AI Flappy Bird
Lecture 1: Artificial intelligence Flappy Bird part 1
Lecture 2: Artificial intelligence Flappy Bird part 2
Lecture 3: Artificial intelligence Flappy Bird part 3
Lecture 4: Artificial intelligence Flappy Bird part 4
Lecture 5: Artificial intelligence Flappy Bird part 5
Instructors

Ayur Ninawe
Software Engineer
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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