19:43
Exploring Starry Realms in the Milky Way with Gaia by Chetan Chawla - PyData Delhi Meetup #44
28:15
What's, Why's and How's of Zarr by Sanket Verma - PyData Delhi Meetup #44
12:36
Understanding Vehicle Telemetry Data by Lokesh Lal || PyData Delhi Meetup #36
19:03
Ranking in Multi-Attribute System by Shweta Suman ||PyData Delhi Meetup #36
24:46
How a group of Data Scientists beat the Stock Market by Vihan Singh | PyData Delhi Meetup #34
08:15
Closing Notes PyData Delhi 2019
05:25
How not to ask questions by Raman Tehlan
19:31
How I Used Data Visualization in My Quest for the Perfect Wine by Pranav Suri
24:43
Knowledge Graph made simple using NLP and Transfer Learning by Suyog Swami
26:27
Understanding user churn in GoPay by Sruthi and Karthik Vijaykumar
49:00
Panel Discussion @ PyData Delhi 2019
25:50
Using NLP for disaster management by Kaustubh Hiware
16:00
Image Manipulation Detection using Neural Networks by Sonal Kukreja
26:40
Improving Model Lifecycle Management for Machine Learning Models by Pankaj Gupta
20:37
Automated Large Scale Forecasting for 1000+ products by Aanish Singla & Nikita Sharma
26:05
Deep Sequence Models for Attribute Extraction from Product Titles by Deepak Sharma
55:09
Differentiable Programming - An exciting generalisation of deep neural networks by Dr Viral B. Shah
45:35
James Powell: Because You Can't Run, You Can't Hide: Some Musings on API Design | Pydata Delhi 2019
13:24
Research @ MIDAS, IIIT-D by Hitkul
18:46
Deepening Democracy through Data: Learnings from Indian Politics and Policy by Roshan Shankar
12:37
Generating tabla note sequences with Markov Chains and Processing/p5.js by Keshav Joshi
31:04
Enhancing credit decision making for new applications using ML and Python by Rachita Das
25:01
Predicting Real-Time Transaction Fraud Using Python and spark by Mayank Jain
25:44
Automating Data Pipeline using Apache Airflow by Mridu Bhatnagar
37:36
Transfer Learning in Natural Language Processing by Janu Verma
24:53
Understanding Opacity in Machine Learning Models by Ankit Rathi & Yatin Bhatia
21:28
Auria Kathi - The power of Multi Model Machine Learning Pipelines by Sleeba Paul
25:44
How GPU Computing literally saved me at work by Abhishek Mungoli
18:14
Intelligent recruitment using NLP and ML to identify the most suitable candidates by Victor Robin
29:15
Fundamental Results in ML and How to Use Them by Jaidev Deshpande
25:07
The power of data science to measure unmeasured parameters in Emerging Markets by Prukalpa Sankar
06:47
Opening Notes PyData Delhi 2019
02:03
PyData Delhi 2019 in 2 Minutes!
18:06
Organising PyData Delhi 2019 | Learning Experiences | Joining the community
39:15
Getting Brain Waves to Python by Utkarsh | Pydata Delhi Meetup #33
28:44
Streaming Data Pipelines with Apache Beam by Tanay Tummalapalli | Pydata Delhi Meetup #33
04:16
Delhi on PyData 2019
03:41
PyData DELHI 2019 | Viral B. Shah Interview | Co-Creator, Julia Language
20:21
Intro to PyTorch by Madhur Tandon
31:24
Introduction to Feature Selection | Rahul Baboota
30:38
Introduction to Pandas | Ayush Kumar Singh
40:16
Introduction to Machine Learning | Mukul Malik
00:43
PyData Delhi - First Meetup
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About
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
We aim to be an accessible, community-driven conference, with novice toadvanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
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