Kaggle

Learn how to use SwarmUI and Stable Diffusion models on most popular cloud services.

Leveraging SwarmUI & Stable Diffusion 3 on Cloud Platforms: A Guide to Kaggle (No-Cost), Massed Comp

In this episode, I interview Chris Deotte, one of the very few Kaggle quadruple grandmasters. 

An Interview with Quadruple Kaggle Grandmaster Chris Deotte from NVIDIA

Hi, my name is Prashant Kikani and in this blog post, I share some tricks and tips to compete in Kaggle competitions and some code snippets which help in achieving results in limited resources. Here is my Kaggle profile.

Top Tips For Competing in a Kaggle Competition

In this article, I will discuss some great tips and tricks to improve the performance of your structured data binary classification model. These tricks are obtained from solutions of some of Kaggle’s top tabular data competitions. Without much lag, let’s begin.

How To Run Text Categorization: All Tips and Tricks from 5 Kaggle Competitions

In early February I saw that a “March Madness” competition was being hosted on Kaggle. I thought this might be something I could do since I am somewhat interested in sports, but when I looked at the competition I was pleasantly surprised . . . there was an analytics portion. The Google Cloud & March Madness Competition had three portions this year: A Competition predicting the Men’s Tournament, the Women’s Tournament, and a separate analytics competition. I had been planning on working on my EDA and visualization skills anyway, so I thought this would be the perfect training ground. 

Impressions From Attending Live Kaggle Competition 

In the Birthday AMA Episode, Sanyam Bhutani had shared a small series of "exciting updates" coming to CTDS.Show:

CTDS: 1 Year anniversary | Kaggle Contest | CTDS.News Launch

In this article (originally posted by Shahul ES on the Neptune blog), I will discuss some great tips and tricks to improve the performance of your text classification model. These tricks are obtained from solutions of some of Kaggle’s top NLP competitions.

Text Classification Models: All Tips And Tricks From 5 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to hammer a Kaggle competition. I have gone over 39 Kaggle competitions including

Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

In this post, we will see how to use the platform and get a submission that achieves a respectable 83% Accuracy on the test set.

How I Got to Top 24% on a Kaggle Text Classification Challenge Without Writing a Single Line of Code

There are many great resources for learning data science and machine learning out there, but the one thing that might be missing is a live accounting of a non-technical individual learning these skills. I use the term “outsider” in the title because I don’t feel like I have the typical background that most people do on Kaggle. I am not a machine learning expert, mathematician, or expert computer programmer. I have experience in finance and law, not computer science or statistics.  

An Outsider's Journey Through Kaggle

How to Win a Kaggle Competition: Box Office Prediction Competition

Takeaways And Quotes From The World’s Largest Kaggle GrandMaster Panel

Today I’m honored to be interviewing a Kaggle Grandmaster from the ods.ai community.

Interview with Kaggle Grandmaster, Data Scientist at Point API: Pavel Pleskov

Today I’m honored to be interviewing a Kaggle Grandmaster from the <a href="https://hackernoon.com/tagged/ods-ai" target="_blank">ods.ai</a> community.

Interview with Kaggle Grandmaster, Lead Data Scientist at Dbrain: Artur Kunzin

This is a special first in the interview series. Today I get to interview a great <a href="https://hackernoon.com/tagged/kaggler" target="_blank">kaggler</a> from my homeland (India).

Interview with Twice Kaggle GrandMaster and Data Scientist at H2O.ai: Sudalai Rajkumar

In this very interview, I’m super excited talking to another great kaggler: The Discussions grandmaster: (kaggle: @tunguz, ranked #3), Kernels (Ranked #10) and Competitions Master (Ranked #23): Dr. Bojan Tunguz

Interview with Kaggle GrandMaster: Dr Bojan Tunguz

During my <a href="https://hackernoon.com/my-machine-learning-path-cb6edab4630" target="_blank">Initial planning on My Self-Taught Machine Learning journey</a> this year, I had pledged to make into Top 25% for any 2 (Live) Kaggle competitions.

First Kaggle Competition Experience

During the past few interviews, I’ve had the chance of interacting with <a href="https://hackernoon.com/interview-with-kaggle-competitions-grandmaster-kazanova-rank-3-dr-marios-michailidis-cc515194cb67" target="_blank">Kaggle Grandmasters</a>, <a href="https://hackernoon.com/interview-with-twice-kaggle-grandmaster-dr-jean-francois-puget-cpmp-6d92328e433a" target="_blank">Technical Leaders</a>, <a href="https://hackernoon.com/interview-with-deep-learning-freelancer-tuatini-godard-e661a3995fb1" target="_blank">Practitioners</a>, and <a href="https://hackernoon.com/interview-with-deep-learning-researcher-and-the-ganfather-dr-ian-goodfellow-cd300863ecff" target="_blank">Two Distinguished</a> <a href="https://hackernoon.com/interview-with-deep-learning-and-nlp-researcher-sebastian-ruder-91ddaf473c4b?source=user_profile---------4------------------" target="_blank">Researchers</a> and an <a href="https://hackernoon.com/interview-with-openai-fellow-christine-mcleavey-payne-aaef948ad571" target="_blank">OpenAI Fellow</a>.

Interview with The Youngest Kaggle Grandmaster: Mikel Bober-Irizar (anokas)

This is another very special version of the series.

Interview with Kaggle Competitions Grandmaster: KazAnova (Rank #3): Dr. Marios Michailidis

This is a very special version of the series.

Interview with Twice Kaggle Grandmaster: Dr. Jean-Francois Puget (CPMP)

I have very recently started making some progress with my <a href="https://hackernoon.com/launching-my-company-a-scholarship-and-a-webinar-277e3b66e351" target="_blank">Self-Taught Machine Learning Journey</a>. But to be honest, it wouldn’t be possible at all without the amazing community online and the great people that have helped me. In this Series of Blog Posts, I talk with People that have really inspired me.

Interview with Kaggle Kernels Expert: Aakash Nain

One of the biggest hurdles of democratizing <a href="https://hackernoon.com/tagged/deep-learning" target="_blank">deep learning</a> has been the need of a <a href="https://hackernoon.com/tagged/gpu" target="_blank">GPU</a> accelerated environment. If we want to spend our time efficiently testing and learning across problem statements we need a GPU based server.But these GPU based environments across platforms (GCP, AWS, Azure, Paper-space, floydhub) can cost you anything between ~$0.60 -$1.5.This cost when combined with cost of storage and if we are using instances which are persistent may really add to the burden on our money bag.

Learn deep learning with GPU enabled kaggle kernels and fastai MOOC

<a href="https://www.kaggle.com/c/carvana-image-masking-challenge" target="_blank">Carvana Image Masking Challenge</a> hosted on Kaggle have attracted a lot of attention from the Deep Learning community. Currently, the contest has more than 600 teams registered. The task is to build a model that segments the car out of the scene background.

Hacking GTA V for Carvana Kaggle Challenge

<a href="http://www.kaggle.com" target="_blank">Kaggle</a> is running another high profile medical machine learning competition to predict heart disease more effectively from MRI scans. The competition is a joint effort between <a href="http://www.boozallen.com/" target="_blank">Booz Allen Hamilton</a> and<a href="http://www.kaggle.com" target="_blank"> Kaggle</a> and is also supported by NIH (National Institutes of Health).

Kaggle, Kickstarter of Machine Learning world, is fixing how we treat heart disease

Kaggle provides cutting-edge data science, faster and better than most people ever thought possible. We have a proven track-record of solving real-world problems across a diverse array of industries including pharmaceuticals, financial services, energy, information technology, and retail.  Kaggle offers both public and private data science competitions and on-demand consulting by an elite global talent pool.

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