Machine Learning in 2024 – Beginner's Course

This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python.

✏️ Course created by Tatev Karen Aslanyan.

Contents
⌨️ (0:00:00) Introduction
⌨️ (0:03:13) Machine Learning Roadmap for 2024
⌨️ (0:10:39) Must Have Skill Set for Career in Machine Learning
⌨️ (0:38:54) Machine Learning Common Career Paths
⌨️ (0:45:48) Machine Learning Basics
⌨️ (1:00:59) Bias-Variance Trade-Off
⌨️ (1:08:04) Overfitting and Regularization
⌨️ (1:23:38) Linear Regression Basics - Statistical Version
⌨️ (1:36:56) Linear Regression Model Theory
⌨️ (2:00:20) Logistic Regression Model Theory
⌨️ (2:15:37) Case Study with Linear Regression
⌨️ (2:33:44) Loading and Exploring Data
⌨️ (2:39:54) Defining Independent and Dependent Variables
⌨️ (2:45:59) Data Cleaning and Preprocessing
⌨️ (2:54:39) Descriptive Statistics and Data Visualization
⌨️ (3:03:39) InterQuantileRange for Outlier Detection
⌨️ (3:14:00) Correlation Analysis
⌨️ (3:32:14) Splitting Data into Train/Test with sklearn
⌨️ (3:34:31) Running Linear Regression - Causal Analysis
⌨️ (4:01:24) Checking OLS Assumptions of Linear Regression Model
⌨️ (4:10:10) Running Linear Regression for Predictive Analytics
⌨️ (4:15:54) Closing: Next Steps and Resources

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

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[mutumkunjeshor]

Thank You so much! I've waited such videos for long time.

[ahmed-elkurdi]

We need math Course For Machine Learning and DS .

[mahendranath]

Wow, thank you so much for sharing the knowledge

[jhormanalcantaramedina]

Thank you so much for this❤❤❤ I love you DS even more each day and this channel 🙌🏻🙌🏻💪🏾🙏

[shubhamchaurasia]

You guys doing such a good job, thanks for uploading 🤠👍

[Ninopssilva]

And passing by to thank you for your great quality content for the development community! Real gratitude!

[Nonehelloworld]

Please never stop this Channel. You and your team are doing GODS work.

[Outfotech]

You know I'm listening and following this machine learning concepts and I have every confidence that I will be producing brilliant work in the near future

[ntnmfbu]

This is an amazing opportunity to learn ML for beginners. Thank you very much for making this accessible for everyone.🙏💐♥️

[yourlifeonpower]

This has been very helpful! Thank you so much, Tatev !

[bimcode]

Thank you for someone who is understandable in english. Well done FCC ;-)

[wryyy]

Nah this is just crazy I was about to start the 2023(?) ml course and y'all dropped this 😂❤❤

[imrankanj]

This course is awesome. I was looking for such course from long time.

[KursadUlusoy-rqmu]

Thank you very much, it is very useful video.

[Cantblendthis]

Hi Tatev, absolutely great course! I've been following along and have one difference at the OLS summary. On mine, the dependent variable is correctly identified *median_house_value), however it is also shown in the second section with a coef of 1.0. Your summary doesn't have the target at all. I've been scrubbing back and forth to see where I did wrong but I think it's all the same. Can this be a statsmodel update or setting?

[gghtupw]

We require an extensive course that provides in-depth instruction on machine learning, supplemented with advanced projects🙏🙏

[linux]

Nice course for beginners, although it was focusing on linear regression only, I wish other algos examples can be presented too.

[ayushmathpal]

Very insightful can you please bring out a course for generative ai in computer vision as well

[arokyajenson]

I think this video having a very good clear explanation by mam thank you for That give other algorithms also in ml

[Kim_jong_un]

Start from data preprocessing & data transformation & data imputation techniques for better understanding It will be great if you explain with example data using Excel or Google sheets anyway it's good 👍