DataScience4you2me

You’ve been hearing a lot about Kaggle Days lately and that's because we’re excited to be co-hosting a number of incredible events this year alongside our friends at LogicAI . We know Kaggle Days aren't accessible to everyone in the community, though, which is why we’re doubly excited about Kaggle Days Meetups ! Kaggle Days Meetup in London What are Kaggle Days Meetups? Kaggle Days Meetups are smaller, local events hosted by and for Kagglers. These meetups provide space for data scientists to learn, network, and have fun! They’ve been hosted in Warsaw, London, Brussels, Milan, and Madrid, and we hope to see them pop up in your corner of the world soon. Host a Kaggle Days Meetup! The best way to bring a Kaggle Days Meetup to your city is to host one yourself. Yes, YOU! We’re currently seeking meetup hosts around the world. If you’d like to organize the first event in your hometown, please apply right here: https://kaggledays.com/become-an-organizer Whether you’re alr...

Kaggle was founded on the principles of meritocracy, and our community has thrived as a place where anyone—regardless of background or degree—can earn accolades for their performance in machine learning competitions. Over the years, we’ve seen how one’s Kaggle rankings in competitions and community contributions can serve as powerful credentials in the data science industry. Today, we’re excited to announce the launch of the newest and highest Kaggle tier of all: The Great-Great-Great-Great Grandmaster. This next tier of achievement uses the same core value of meritocracy to give advanced Kagglers the recognition they so richly deserve. (It does not make any changes to the existing points system.) Choose Your Own Adventure For each of the categories: Competitions, Kernels, and Discussion, you will be able to achieve the latest performance tier of Great-Great-Great-Great Grandmaster. You will still be able to advance tiers within each category independently. Your overall tier ...

Data Notes for March 14th Home loans, crowdfunding, and the best artwork of all time: Enjoy these new, intriguing, and overlooked datasets and kernels   1. An Insightful Story About Successful Crowdfunding Projects ( Link ) 2. What Gets You a Home Loan in Washington? ( Link ) 3. Marketing Segmentation: From Raw Data to Clusters ( Link ) 4. Linear Regression - Step by Step Assumptions ( Link ) 5. Global Suicide Trends & Analysis ( Link ) 6. Skin Lesion Analyzer ( Link ) 7. Meta Kaggle: Behind the Medals ( Link ) 8. Dataset: Best Artworks of All Time ( Link ) 9. Dataset: All Hacker News Posts ( Link ) 10. Dataset: Lip Reading Images ( Link )   Technique of the week ​ Did you find interesting data after scraping the web ?  Make a dataset from a kernel output file or URL and be chosen as Kaggle’s Kernel Author of the Month ! Copyright © 2019 Kaggle, All rights reserved. from No Free Hunch https://ift.tt/2TL2pCG via IFTTT

Data Notes for February 28th Heart disease, presidential candidates, and cartoons: Enjoy these new, intriguing, and overlooked datasets and kernels   1. What Causes Heart Disease? Explaining the Model ( Link ) 2. Genomic Visualization via Dimensionality Reduction ( Link ) 3. The Simpsons DCGAN Image Generator ( Link ) 4. The Rise and Fall of PUBG - Steam Reviews Analysis ( Link ) 5. Natural Language Processing (NLP) for Yelp Reviews ( Link ) 6. Introduction to Image Augmentation using Fastai ( Link ) 7. Google Trends for 2020 Democratic Candidates ( Link ) 8. Dataset: Every State of the Union Address Since 1970 ( Link ) 9. Dataset: Google Safe Browsing Transparency Report ( Link ) 10. Dataset: Satellite Pose Estimation Challenge ( Link )   Technique of the week ​ Are class activation maps (and other methods) helpful when interpreting CNNs?  Explain how and why and be chosen as Kaggle’s Kernel Author of the Month !   Copyright © 20...

Last year we took our annual data science survey to the next level by turning over the results to YOU through an open-ended Kernel competition. We were overwhelmed by the response and quality of kernels submitted. Not only are Kagglers amazing data scientists, but they’re incredible storytellers as well! Mhamed Jabri was one of those skillful enough to take our data and shape it into something meaningful— not just for Kaggle, but for the data science community at large. We hope you enjoy getting to know him as much as we did. Congrats, Mhamed, on your win! To take a look at Mhamed's winning Kernel, visit: AfricAI   What was your background prior to entering this challenge ? I’m currently pursuing an MS in Applied Mathematics at Ecole Centrale Lyon. My first formal background in machine learning came through several MOOCs and internships that I had during my gap year. I became active on Kaggle last year, winning multiple Kernel Awards and finishing top 1% in the Data Sc...

Welcome to Kaggle Data Notes! Cryptocurrency, climate change, and the price of avocados: Enjoy these new, intriguing, and overlooked datasets and kernels   1. Analyzing Ethereum Classic via Google BigQuery ( Link ) 2. Machine Learning for Geospatial Data ( Link ) 3. What Does a CNN See? ( Link ) 4. Price of Avocados || Time Series Forecasting ( Link ) 5. Visualization & EDA on World Happiness Report ( Link ) 6. Climate Change Forecast - SARIMA Model ( Link ) 7. Nuclear Power Plant Locations ( Link ) 8. Dataset: Top Spotify Tracks of 2018 ( Link ) 9. Dataset: Youth Risk Behavior Surveillance System ( Link ) 10. Dataset: Python Developers Survey ( Link )     Technique of the week ​ Do you know how to explain the internal workings of machine learning models?  Earn bragging rights (plus a $2000 award!) if you explain the output of a ML model and are chosen as Kaggle’s Kernel Author of the Month ! Copyright © 2019 Kaggle, All rights res...

Welcome to Kaggle Data Notes! The NFL, Taylor Swift, and Malaria: Enjoy these new, intriguing and overlooked datasets and kernels   1. How to Teach an AI to Dance ( Link ) 2. Malaria Detection with PyTorch ( Link ) 3. Emojifier with RNN ( Link ) 4. Taylor Swift Lyric Exploration ( Link ) 5. AutoTel Shared Cars Availability ( Link ) 6. What Gets You Into Grad School? ( Link ) 7. Mapping NFL Player Birthplaces with Folium ( Link ) 8. Dataset: Respiratory Sounds Database ( Link ) 9. Dataset: Retail Product Checkout Images ( Link ) 10. Dataset: Facebook Ad Campaigns ( Link )   Technique of the week ​ Love music?  Play audio files and analyze spectrograms with PyDub and PySoundFile ! Copyright © 2019 Kaggle, All rights reserved. from No Free Hunch http://bit.ly/2RZhuQX via IFTTT