Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI

Ready to explore machine learning and artificial intelligence in python? This python machine learning and AI mega course contains 4 different series designed to teach you the ins and outs of ML and AI. It talks about fundamental ML algorithms, neural networks, creating AI chat bots and finally developing an AI that can play the game of Flappy Bird.

⭐ RESOURCES ⭐
IMPORTANT: The text-based guides will have download links for files or datasets needed.

1⃣ Machine Learning for Beginners

2⃣ Neural Networks

3⃣ Simple AI Chat Bot

4⃣ Flappy Bird AI

⭐ SOFTWARE DOWNLOADS ⭐

⭐ TIMESTAMPS ⭐
🎥 Course 1: Machine Learning for Beginners 🎥
⌨️ (0:00) Course Introduction
⌨️ (00:02:30) Introduction to Machine Learning & Environment Setup
⌨️ (00:12:24) Linear Regression Part 1 – Data Loading and Analysis
⌨️ (00:26:28) Linear Regression Part 2 – Implementation and Algorithm Explanation
⌨️ (00:42:50) Saving Models and Visualizing Data
⌨️(00:56:05) K-Nearest Neighbors Part 1 – Irregular Data
⌨️ (01:08:16) K-Nearest Neighbors Part 2 – Algorithm Explanation
⌨️ (01:21:33) K-Nearest Neighbors Part 3 – Implementation
⌨️ (01:31:54) Support Vector Machines Part 1 - SkLearn Datasets and Analysis
⌨️ (01:38:34) Support Vector Machines Part 2 – Algorithm Explanation
⌨️ (01:52:21) Support Vector Machines Part 3 – Implementation
⌨️(02:01:57) K-Means Clustering – Algorithm Explanation
⌨️ (02:15:11) K-Means Clustering - Implementation

🎥 Course 2: Neural Networks 🎥
⌨️ (02:27:07) Introduction to Neural Networks
⌨️ (02:53:47) Loading & Looking at Data
⌨️ (03:06:50) Creating a Model
⌨️ (03:24:05) Using and Testing Our Model
⌨️ (03:33:56) Text Classification Part 1 – Data Analysis and Model Architecture
⌨️ (03:55:23) Text Classification Part 2 – Embedding Layers
⌨️ (04:09:43) Text Classification Part 3 – Training the Model
⌨️ (04:19:49) Text Classification Part 4 – Saving and Loading Models

🎥 Course 3: AI Chat Bot 🎥
⌨️ (04:34:35) Part 1
⌨️ (04:50:28) Part 2
⌨️ (05:02:39) Part 3
⌨️ (05:14:32) Part 4
⌨️ (05:30:34) Part 5

🎥 Course 4: Neuroevolutionary Algorithm Plays Flappy Bird 🎥
⌨️ (05:39:16) Creating the Bird
⌨️ (05:51:36) Moving the Bird
⌨️ (06:10:04) Pixel Perfect Collision
⌨️ (06:29:22) Finishing the Graphics
⌨️ (06:41:16) NEAT Introduction and Configuration File
⌨️ (07:01:36) Implementing NEAT and Fitness Functions
⌨️ (07:16:32) Testing and Saving Models

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💻 Enroll in The Fundamentals of Programming w/ Python

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⚡ Please leave a LIKE and SUBSCRIBE for more content! ⚡

Tags:
- Tech With Tim
- Python Tutorials
- Machine Learning Course
- AI Course Python
- Python Machine Learning
- Python Machine Learning Course
- Machine Learning Python

#Python #MachineLearning #AI

[freecodecamp]

This is great! Good idea to combine these into one long video!

[TechWithTim]

⭐ TIMESTAMPS ⭐


🎥 Course 1: Machine Learning for Beginners 🎥
⌨️ (00:02:30) Introduction to Machine Learning & Environment Setup
⌨️ (00:12:24) Linear Regression Part 1 – Data Loading and Analysis
⌨️ (00:26:28) Linear Regression Part 2 – Implementation and Algorithm Explanation
⌨️ (00:42:50) Saving Models and Visualizing Data
⌨️(00:56:05) K-Nearest Neighbors Part 1 – Irregular Data
⌨️ (01:08:16) K-Nearest Neighbors Part 2 – Algorithm Explanation
⌨️ (01:21:33) K-Nearest Neighbors Part 3 – Implementation
⌨️ (01:31:54) Support Vector Machines Part 1 - SkLearn Datasets and Analysis
⌨️ (01:38:34) Support Vector Machines Part 2 – Algorithm Explanation
⌨️ (01:52:21) Support Vector Machines Part 3 – Implementation
⌨️(02:01:57) K-Means Clustering – Algorithm Explanation
⌨️ (02:15:11) K-Means Clustering - Implementation


🎥 Course 2: Neural Networks 🎥
⌨️ (02:27:07) Introduction to Neural Networks
⌨️ (02:53:47) Loading & Looking at Data
⌨️ (03:06:50) Creating a Model
⌨️ (03:24:05) Using and Testing Our Model
⌨️ (03:33:56) Text Classification Part 1 – Data Analysis and Model Architecture
⌨️ (03:55:23) Text Classification Part 2 – Embedding Layers
⌨️ (04:09:43) Text Classification Part 3 – Training the Model
⌨️ (04:19:49) Text Classification Part 4 – Saving and Loading Models


🎥 Course 3: AI Chat Bot 🎥
⌨️ (04:34:35) Part 1
⌨️ (04:50:28) Part 2
⌨️ (05:02:39) Part 3
⌨️ (05:14:32) Part 4
⌨️ (05:30:34) Part 5


🎥 Course 4: Neuroevolutionary Algorithm Plays Flappy Bird 🎥
⌨️ (05:39:16) Creating the Bird
⌨️ (05:51:36) Moving the Bird
⌨️ (06:10:04) Pixel Perfect Collision
⌨️ (06:29:22) Finishing the Graphics
⌨️ (06:41:16) NEAT Introduction and Configuration File
⌨️ (07:01:36) Implementing NEAT and Fitness Functions
⌨️ (07:16:32) Testing and Saving Models

[somaliflame]

Wow thanks Tim for teaching all this for free.

[mongolz]

Tim, you seriously created 7, 5 hours of AI in Python... for free? WTF is going on here you deserve a medal

[rajathshetty]

Mom: You can watch only one video before going to bed


Me: Ok

[jackie.p]

how does this have 53 dislikes? the guy put in the effort to make a 7hour+ video, not only that, but it's super interesting...the effort alone deserves a like and subscribe.

[samyuktharajkumaran]

Whenever I'm struggling to wrap my head around a bigger picture of something related to Python I always keep my fingers crossed that you would have uploaded a related video. Upon finding it I feel relieved since I feel real comfortable with your way of explaining things. There are tons of good tutorials for basics out there. But you are the only person who also focuses on advanced concepts comprehensively.

[mikoajandrzejewski]

I tried a lot of tutorials about AI but the language which U are using is very understable and whole topic is easy to learn! Thanks :)

[pauloreis]

If you really think that I'm going to watch this whole 7 hours video... then you are completely right. \(*0*)/ Thank you for the knowledge. Itadakimasu!!

[skviknesh]

Wow!!! You are the only person who give Projects in ML & AI!!!! I need to give big hug 😘😘😘.

[natnaeldebebenegash]

Tim you have been mentor for me, from introduction python to AI Machine learning....
why stop? I like coding because of you.
thank you for everything....

[ScottLeitstein]

Hi Tim, an absolutely terrific series, I just completed the entire videos set; very impressive! Thanks for taking the time to produce these.

[vijayanawghare]

I learned more from this course than going to university for 3 weeks

[bhargavannem]

Tech With Tim should consider to make an extended course online because he is a great teacher and ML pro.

[danajenkins]

I'm in a machine learning course at UCI right now and this video looks very helpful for my impending project.

[wesbg]

I'm not gonna watch it, but still (like) just to support your work.. glad to have childs like you on our planet..

[himadriroy]

Thank you very much for this free machine learning course.

[computersciencerecipy]

I will watch this vedio on 15th😁😁😁after my exams.
Really excited.
I have visited ua many videoes and really liked it😍😍😍

[bryanloaiza]

Dude this is the first course i am going to take from you, but searching in your website i could see a lot of very interesting courses and for free. Thank you very much for real

[BatVader-]

Dude thanks a lot, i have looked everywhere for Machine learning but i haven't found good videos. but this one is awesome man! thanks!