• PyData Delhi Meetup #34

    Srijan Technologies

    Schedule (12:00 PM - 4:00 PM): 1. [HANDS-ON] Explainable AI and interpretability of AI solutions: Strategic overview challenges and caveats by Kriti Doneria and Mohd. Sadib Atiq (https://github.com/pydatadelhi/talks/issues/103) 2. How a group of Data Scientists beat the Stock Market by Vihan Singh (https://github.com/pydatadelhi/talks/issues/104) 3. Break and Networking 4. [Lightning Talk ⚡️] Not so advanced Advance Driver Assistance Systems! by Chetan Chawla (https://github.com/pydatadelhi/talks/issues/108) 5. [HANDS-ON] Genetic Algorithms: Making errors do all the work by Raman Tehlan People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map: https://goo.gl/maps/wgTwHrkri5n3zSRs9 • Nearest Metro Station: Rajiv Chowk (Yellow Line) Doors open at 11:30 AM, talks start at 12:00 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #33

    Atlan

    Schedule (2:00 PM - 6 PM): 1. Streaming Data Pipelines with Apache Beam by Tanay Tummalapalli (https://github.com/pydatadelhi/talks/issues/102) 2. Getting Brain Waves to Python by Utkarsh [Invited Talk by Atlan] 3. Break and Networking 4. How we organised PyData Delhi 2019, what we learnt and how to get involved in the community? by PyData Delhi Team (https://pydata.org/delhi2019) People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://g.page/Atlan-India?share • Nearest Metro Station: Saket Metro Station (Yellow Line) Doors open at 1:30 PM, talks start at 2:00 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi 2019

    Indraprastha Institute of Information Technology Delhi

    After the success of previous 2 editions of the conference in India with over 350+ delegates from 28 states and 7 counties, The third edition of PyData Delhi conference is now official and is scheduled for August 3-4, 2019. Check more details here: https://pydata.org/delhi2019 To know more and the way the world is leveraging data to use it for various purposes in applications of Data Science, Machine learning Deep learning and AI. We are here announcing the PyData annual conference where the developer's and technical school enthusiasts from the community are coming along to learn and share. Buy your tickets here: http://bit.do/pydd19-tickets There are numerous talks and workshops delivered by top developers and researchers in data connected fields from across the globe, machine learning frameworks, recent advances in deep learning and lots of additional using tools in primary Python and including languages like R and Julia. Submit your talk/tutorials/workshop proposals here: https://pydata.org/delhi2019/cfp CFP Deadline: 12th July Venue: IIIT Delhi, Okhla Location: https://goo.gl/maps/vbBD7su7wtr2EUgHA Important links: Website: https://pydata.org/delhi2019 Submit CFP: https://pydata.org/delhi2019/cfp Buy Tickets: http://bit.do/pydd19-tickets (You can contact us using the message button or email at [masked])

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  • PyData Delhi @ DrupalCamp Delhi 2019

    JNU Convention Center

    PyData Delhi would be taking part at DrupalCamp Delhi 2019 @ JNU Convention Center. Talks, tutorials, discussions from members of PyData Delhi team. We would also be offering discounted tickets to our upcoming conference PyData Delhi 2019, https://pydata.org/delhi2019 Register here: http://2019.drupalcampdelhi.com/user/register People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. Follow on Instagram (https://instagram.com/pydatadelhi ) and Facebook (https://facebook.com/pydatadelhi ) too. We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd )

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  • PyData Delhi Meetup #32

    Cowork Delhi

    Schedule (1:30 PM - 6 PM): 1. The State of Indic Languages in NLP by Karmanya Aggarwal, Associate Data Specialist @ Gramener ( https://github.com/pydatadelhi/talks/issues/100 ) 2. Intro to Tensorflow.js by Nilesh Patra ( https://github.com/pydatadelhi/talks/issues/98 ) 3. Break and Networking 4. Recommendations System with PySpark by Ujjwal Singh, ( https://ujjwalll.github.io/ ) ( https://github.com/pydatadelhi/talks/issues/92 ) 5. Surprise for attendees! :D People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/3TRPm65pxyjCJkbz8 • Nearest Metro Station: Mayur Vihar Phase-1 (Pink Line) Doors open at 1:15 PM, talks start at 1:30 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #31

    UiPath Academy

    Schedule (1:30 PM - 6 PM): 1. This month in Machine/Deep Learning, AI and Data Science, What's Happening? [Lightning Talk ⚡️] by Sanket Verma 2. Where is AI heading in 2019? Which fragments of AI are gaining traction and why? by Deepika Koul (https://www.linkedin.com/in/deepika-koul-9129694a/) 3. Making RPA intelligent by Alok Mani [Invited Talk] 4. Break and Networking 5. Intro to Bitgrit [Lightning Talk ⚡️] by Baljender Singh 6. What an RPA SDLC looks like? [Lightning Talk ⚡️] by Nikita Rathore 7. Recommendations System with PySpark by Ujjwal Singh (https://github.com/pydatadelhi/talks/issues/92) People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/Jfy7YEyBmZnBxUXG9 • Nearest Metro Station: Sector 53-54 Metro Station (Rapid Metro Line) Doors open at 1:15 PM, talks start at 1:30 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #30

    Investopad

    Schedule (2 PM - 6 PM): 1. Technology for honest politics and evidence-based Policy by Roshan Shankar, Advisor to Government NCTD. (https://twitter.com/roshankar) 2. Protecting indoor plants from your cats using image recognition, Raspberry Pi and GCP by Victor Robin, Data Science Director at Dunnhumby. (https://github.com/pydatadelhi/talks/issues/94) 3. Break and Networking 4. Bookkeeping in Machine Learning Experiments by Jaidev, Senior Data Scientist at Gramener. (https://github.com/pydatadelhi/talks/issues/97) People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/RabvMvPQscA2 • Nearest Metro Station: IIT-D Metro Station (Magenta Line) Doors open at 1:45 PM, talks start at 2 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #29

    Aspiring Minds

    Schedule (2 PM - 6 PM): 1. [Lightning Talk] Text Summarization by Aayush Bajaj. (https://github.com/pydatadelhi/talks/issues/89) 2. Throwing Light on PyTorch by Rahul Baboota. (https://github.com/pydatadelhi/talks/issues/90) 3. [Aspiring Minds Invited Talk] Automatic grading of computer programs using Machine Learning. 4. Break and Networking. 5. Dealing with imbalanced datasets for classification by Pranav Suri. People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/ab4YUiYEMzn • Nearest Metro Station: IndusInd Bank Cyber City (Rapid Metro Line) Doors open at 1:45 PM, talks start at 2 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #28

    SocialCops

    Schedule (2 PM - 6 PM): 1. Introduction to APIs by Mridu Bhatnagar (https://github.com/pydatadelhi/talks/issues/81) 2. An Overview of Concept Drift [Lightning Talk] by Pranav Suri (https://github.com/pydatadelhi/talks/issues/88) 3. Graph Databases and Data Analysis Using Neo4j by Akash Tandon [SocialCops Invited Talk] 4. Break and Networking 5. Introduction to Genetic Algorithms by Raman Tehlan People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/b85rvphFPnv • Nearest Metro Station: Saket (Yellow Line) Doors open at 1:45 PM, talks start at 2 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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  • PyData Delhi Meetup #27

    91 Springboard

    Schedule (2 PM - 6 PM): 1. Data Visualization using Matplotlib and Seaborn by Praneet Nigam (https://github.com/pydatadelhi/talks/issues/82) 2. Break and Networking 3. Extracting Data from PDFs and more by Akriti (https://github.com/pydatadelhi/talks/issues/80) 4. Virtual Environment in Python by Mridu Bhatnagar (https://github.com/pydatadelhi/talks/issues/85) People who would like to volunteer to PyData Delhi, please stay for a while after the meetups end! Note: Please keep your RSVP up to date, it is a very nice thing to do! Most likely, we won't be able to entertain more than the max RSVP limit! Logistics: • Venue map : https://goo.gl/maps/cNwbFp2F9q82 • Nearest Metro Station: Noida Sector 15 (Blue Line) Doors open at 1:45 PM, talks start at 2 PM. --- Please, unRSVP if you realise you can't make it. We're limited by space on the number of attendees, so please free up your place for your fellow community members! Follow @pydatadelhi ( http://twitter.com/pydatadelhi ) for updates and early announcements. See you at the meetup! We're on Telegram. Join us for early updates and discussions here ( http://bit.do/joinpydd ) Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are always welcome! Presentations: If you'd like to share a topic with the group at an upcoming meetup, propose a talk here ( https://github.com/pydatadelhi/talks ) :) Contact: Message us through the message tab on the meetup page.

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