Data Science , Machine Learning, NLP, DL

Technology and Computers
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Today I’m starting my journey of learning Data Science , Machine Learning, NLP, 1. DL which includes
2. Python(Basic to Advance)
3. Flask Framework
4. Streamlit Web Framework
5. Statistics
6. Probability
7. Probability Distribution Function for Data
8. Inferential Statistics
9. Feature Engineering
10. Exploratory Data Analysis
11. Machine Learning Algorithms
12. Dockers
13. GIT
14. Deployment using AWS, Azure
15. ETL pipelines
16. ML project lifecycle
17. NLP
18. Deep Learning
19. ANN
20. RNN
21. Encoder Decoder
22. Seq2Seq Networks
23. Transformers
My target is getting a remote job in abroad .
Currently me and my husband is planning for canadian PR. It would be great if I can land a job in canada.

I’ll also learn Data Structure and Algorithms and try problem solving.

In my journey I’ll always try to use memory techniques specially memory palaces.

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Day 1 - Python Basics

  1. Syntax and semantics
  2. variables
  3. Data Types
  4. Operators
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Sounds fun. I’d be interested to hear if you find any good resources for those topics, especially machine learning.

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Day 2 - Python Control Flow

  1. Conditional Statements
  2. Loops

I just watched the tutorial but didn’t tried to memorise. I’ll use memory palace next morning for it.

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I’m just enrolled in a Udemy course.

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It will be nice to be hearing from you on how you will be progressing Mowmita :grinning_face::grinning_face:

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Day 3 & 4 - Inbuilt data structures & Functions

  1. List, tuples, set, dictionaries
  2. function, lambda function, map(), filter()

I am just watching the video tutorial. After 2 days I’ll start to memorise them altogether.

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Hello Mowmita,

How is your progress?

It’s nice hearing how you are progressing. Hope you start writing it here again :folded_hands::folded_hands: