Prep And Practice (Technical Notes, Interview QA, Research Papers, Use-case, Strategies)

Here, I have updated learning resources, use-case, code techniques and interview preparatory materials for everyone and its public, so each members can access whoever from beginner level to professional one. I am happy if you also contibute the same on fork request / by connecting with me. The collections made by few external references like github, youtube, linkedin and my own which covers stacks on Data Science, AI-ML, GenAI, LLM, Java, Data Engineering, Cloud, C++, BigData, SQL and many more.

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🔖 Directory Structure

    .                                          
    ├── LearningBase                                 # Technical preparation notes
    │   ├── BigData notes
    │   ├── Cloud notes
    │   ├── DataAnalytics notes
    │   │   └── DataAnalytics usecases
    │   │       └── ...
    │   ├── AI-ML notes
    │   ├── DataScience notes
    │   ├── DevOps nots
    │   ├── Python notes
    │   ├── SQL notes
    │   └── ...  
    ├── QA                                           # Interview QA
    │   ├── BigData QA
    │   ├── Cloud QA
    │   ├── AI-ML QA
    │   ├── Data Science QA
    │   ├── DevOps QA
    │   ├── Python QA
    │   ├── SQL QA
    |   └── ...
    ├── Blogs                                        # Collective blog references
    │   ├── 
    │   ├── 
    |   └── ...
    ├── Others                                       # Other bucket
    ├── README.md                                    # Project README file
    └── LICENSE                                      # Project License file

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