Sumit patil

@Sumit__ML

Student | AI | ML . Want to become Kaggle Grandmaster..

Nashik, Maharashtra
Vrijeme pridruživanja: listopad 2019.

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  1. Prikvačeni tweet
    13. sij

    Just a little step towards my goal.

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  2. proslijedio/la je Tweet
    prije 22 sata

    How to Automate Hyperparameter Optimization

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  3. proslijedio/la je Tweet
    prije 17 sati

    Learn this to become employable: Slack ninja. Git (command line) Node API server (CRUD + custom end-points.) MySQL, MongoDB or PostgreSQL HTML layouts / grid and flex. UX (think like your user.) Front-end (fetch API, callbacks.) Commit to GitHub semi-daily. Build 1 okay project.

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    Knowing algorithms is one part of an end-to-end project. In this excellent article, Om Deskmukh talks about 4 key aspects, apart from building models, that are key to a successful DS .

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  5. proslijedio/la je Tweet
    prije 17 sati
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  6. proslijedio/la je Tweet
    3. velj

    I often get introduced to people looking to make the jump into startups and Silicon Valley. This is the reading list I send them. It’s meant to be a primer for many of the popular concepts and jargon you will hear working at a startup.

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    Kaggle forum mentions tend to be a leading indicator of what takes off. Our forums are closely followed: each topic receives an average of 400 views. 1/3

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    4. velj

    Data Science: Learning from the Mistakes

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    4. velj
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    4. velj
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  11. proslijedio/la je Tweet
    3. velj

    The of Decision Trees, Random Forest, and Feature Importance in Scikit-learn and : ——————

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  12. proslijedio/la je Tweet
    16. sij

    I did a deep-dive into Pages, and found it's possible to create a *really* easy way to host your own blog: no code, no terminal, no template syntax. I made "fast_template" to pull this together, & a guide showing beginners how to get blogging

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  13. proslijedio/la je Tweet
    3. velj

    How to ensure your data science projects are successful every time by

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  14. proslijedio/la je Tweet
    3. velj
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    3. velj
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  16. proslijedio/la je Tweet
    3. velj

    is more than just public code. It's a mindset of sharing, being transparent and collaborating across organizations. It's about building on the shoulders of other projects and advancing together the state of technology (1/N) , , ,

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  17. proslijedio/la je Tweet
    3. velj

    The Ultimate Guide to Getting Started in Data Science

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  18. proslijedio/la je Tweet
    14. sij

    I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competition

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  19. proslijedio/la je Tweet

    Thumbs up, MediaPipe! 👍👍👍 Check out the blog to see MediaPipe graphs running live in the web browser, enabled by WebAssembly and accelerated by XNNPack ML Inference Library. Read here →

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  20. proslijedio/la je Tweet
    31. sij

    You know you've done something when you had to create in the same project - 1. library 2. Extension 3. captioning running within a 4. package 5. Running it all on 6. Voice UX with

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  21. proslijedio/la je Tweet
    6. stu 2019.

    series by Teeshul . Buy this exclusive tee at exclusive piece of 599 only Buy now @ . . . . . . . . . . . ..

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