Machine Learning Course for Beginners

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Course Introduction
⌨️ (0:04:34) Fundamentals of Machine Learning
⌨️ (0:25:22) Supervised Learning and Unsupervised Learning In Depth
⌨️ (0:35:39) Linear Regression
⌨️ (1:07:06) Logistic Regression
⌨️ (1:24:12) Project: House Price Predictor
⌨️ (1:45:16) Regularization
⌨️ (2:01:12) Support Vector Machines
⌨️ (2:29:55) Project: Stock Price Predictor
⌨️ (3:05:55) Principal Component Analysis
⌨️ (3:29:14) Learning Theory
⌨️ (3:47:38) Decision Trees
⌨️ (4:58:19) Ensemble Learning
⌨️ (5:53:28) Boosting, pt 1
⌨️ (6:11:16) Boosting, pt 2
⌨️ (6:44:10) Stacking Ensemble Learning
⌨️ (7:09:52) Unsupervised Learning, pt 1
⌨️ (7:26:58) Unsupervised Learning, pt 2
⌨️ (7:55:16) K-Means
⌨️ (8:20:21) Hierarchical Clustering
⌨️ (8:50:28) Project: Heart Failure Prediction
⌨️ (9:33:29) Project: Spam/Ham Detector

🎉 Thanks to our Champion and Sponsor supporters:
👾 Wong Voon jinq
👾 hexploitation
👾 Katia Moran
👾 BlckPhantom
👾 Nick Raker
👾 Otis Morgan
👾 DeezMaster
👾 AppWrite

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[joshuwa.jeremiah]

I see alot of comments talking about age, but let’s be real we clicked on this video because we wanted to learn. everyone’s life story is different, now get focused.

[yeshwanthprabhala]

The kid's 15. My god, look at the teaching skills and confidence at such age while delivering one of the hardest courses. He is gonna reach great heights ✌️✌️

[samuelperez]

Seeing such a young kid with those skills, makes me proud of him and sad about me 😭

[buak]

Hats off to this man. I'm 27, 28 this year and I try changing my life, attending university and trying to follow valuable courses shared by fCC. Happy new year to everyone, hopefully your dreams and goals will be materialized this year!

[whoami]

0:00       -  Intro
4:34       -  Fundamentals of ML
25:22     -  Supervised VS Unsupervised
35:39     -  Linear Regression
1:07:06  -  Logistic Regression
1:24:12  -  Project: House price predictor
1:45:16  -  Regularization
2:01:12  -  Support vector machines
2:29:55  -  Project: Stock price predictor
3:05:55  -  Principal component analysis
3:29:14  -  Learning theory
3:47:38  -  Decision trees
4:58:19  -  Ensemble learning
5:53:28  -  Boosting, pt 1
6:11:16  -  Boosting, pt 2
6:44:10  -  Stacking Ensemble Learning
7:09:52  -  Unsupervised Learning, pt 1
7:26:58  -  Unsupervised Learning, pt 2
7:55:16  -  K-Means
8:20:21  -  Hierarchical Clustering
8:50:28  -  Project: Heart failure prediction
9:33:29  -  Project: Spam/Ham Detector



please, enjoy!

[lasue]

this is how you get 18 years of experience at the age of 20

[dev_via_fun]

The youth of this guy and his knowledges inspired me to give up on everything.

[harryguanous]

Having done machine learning in the past year, this was actually a really good revision.

[akhilprashanth]

Now needed a 6 yr old teaching machine learning models!.
At this age we were messing around using paint application

[ivlivs.c]

As someone who is looking to break into this field, as an entrepreneur, and as a husband and a father, you are truly an inspiration. What you are doing is incredible and I wholeheartedly support you. Keep going. You are the future.

[sohilk]

Damn, he is so young and talented. Wish I had utilized my time in middle school 😞

[sorubro]

Now a fetus teaching quantum mechanics please

[priyeshagarwal]

Please note:
at 53:56, We multiply 1/m instead of adding to get Root mean square error.

[rahultangsali]

Damn
Free code camp is a blessing💯
All the best to all budding coders out there!

[md.yasinarafathpiyal]

Perfect example of age doesn't matter if you have knowledge <3. Nicely done bro

[giannismaris]

I've just started ML (supervised) at the age of 21 after having a mathematical degree. I feel ashamed after watching this video but happy cuz this guy explains things better than my PhD teacher .

[_re_ve_]

I can’t believe I'm learning from a kid. Honestly I'm amazed and I'm really happy to learn from him.

[raphaeltaieb]

I definitely learnt more ML in this video than during my whole year in Master's degree!

[los]

WOW I really needed this course for this semester and it just pops up at the perfect moment

[yosupalex]

Thank you so much for the video! very easy to follow. I graduated in a data science major but didn't learn it well back in the school. Your video picked up so much of my memories and helped me enhanced my ML knowledge. If there is a chance to go back to the collage, I won't waste my time on useless things and just focus on learning. Again, thank you for your effort on this video!