Starting Machine Learning AGAIN! - In a better way this time

Machine learning is often categorized by how an algorithm learns to become more accurate in its predictions. The number of applications for machine learning engineers is huge, and it keeps getting bigger as more and more industries adopt this technology to tackle their problems. The demand for machine learning specialists is constantly growing.
Taking lessons from my personal experience of learning Machine learning, I am here to tell you how I learned machine learning and what was the path I followed and if I had to start over again - How will I learn machine learning in 2022? Let’s look at what all I did that worked for me and in my favor and what could have been better.

0:00 - My journey of learning Machine Learning
0:28 - Step 1 My first course - Machine learning by Andrew Ng
0:42 - Step 2 First book I read - Data science from scratch
0:52 - Step - 3 Kaggle Project
1:19 - Starting from the start
4:08 - What is Data Lake
5:21 - Part 2 begins
5:42 - Cyber security compliance
6:38 - Networking tools
7:22 - What is Docker and how it works?
8:08 - CICD pipeline
8:40 - Infrastructure as a code
9:22 - Conclusion

👨‍💻 Courses
1. Machine Learning by Stanford University | Coursera
2. Deep Learning DeepLearning.AI Specialization | Coursera

📚Books
1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2. Data Science From Scratch

👨🏼‍💻 Practice

===================Follow Me Here===================

===================About Me===================
Freelance Data Engineer and Solution Architect.
I love learning about technology and teaching thing I know to other people. The goal of creating this channel was to teach everything I know to the world, I have spent most of my time learning things online and I want to share all my learning on this youtube channel.
I will be posting content related to data engineering, architecting systems, data science, machine learning, and interview preparation.

Thank you for watching the video, see you in the next video :)

My Accessories

#machinelearning #machinelearningcourse #ml

[DarshilParmar]

Fan chalu tha toh video me effect aa gaya, next time dhyan rakhna padega :P


Me

[arbaj]

Very Thanks... Awaiting for Further videos

[preetinagarkar]

Exactly it’s my story too..thanks for sharing your experience

[Rahul-xcqe]

What’s the best way to get a good overview about data engineering that you were talking about? Any specific blogs/books/ courses?

[sachink]

Great!! This video gave me a overall view or idea on getting done with machine learning and mastering deep learning and further more ...👍👍

[utkarshtripathi]

We Really Loving your Channel So much,

[adityasingh]

I do have knowledge about pandas, numpy, matlpotlib, Should i learn scikit learn before ML ??\

[tushargupta]

Thank you sir for such a amazing video

[sauravpatil]

Thank you so much bro ...u cleared all my doubts

[nbsp]

Thank you so much yr...really really informative

[ssriv]

Please suggest some good resource to get an overview of data science and data engineering.

[yashkumbhoje]

Hello bhaiya how is mit ocw for learning ml and deep learning 🤔

[shauryajain]

As a de enthusiast, do I need to focus on ml?

[Metalheadharsh]

Where can I connect with you? I lost my job during the pandemic and I'm up for switching my stream from Digital Marketing to Data Science and I'm learning like the way you did and realised that it might take a while and I'm not sure if it's the right path

[sureshcherukuri]

Applied Ai course is the best online course for machine learning.

[dhananjayrana]

Inspiration of the video is ken jee Am I right

[utkarshtripathi]

Hare, am Going to share your channel link in our college Watsapp Group😃😄❤❤