Kaggle联合创始人兼CEO安东尼·高德布卢姆(Anthony Goldbloom)解释说:“准确度不断提升,他们都倾向于同一个解决方案。” 凡是玩数据科学和机器学习的老司机,有两个网站一定不会错过:GitHub和Kaggle。前者用来分享,后者进行实战练习。 初识Kaggle 泰坦尼克生存模型 Ref:New to Data Science? what sorts of people were l...
Because we are training this model in Kaggle, so we can use the datasets Kaggle has already offered. For this, we choose the NFL helmet detection and tracking dataset as an example. If we would like to try otherdatasets, we can click on the ‘add data’ option to search any datasets K...
The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been playing with the Titanic dataset...
Describe the bug I am trying to install the required libraries in a kaggle notebook: !pip install super-gradients==3.1.0 !pip install imutils !pip install roboflow !pip install pytube --upgrade !pip install torchinfo After installing whe...
In this article, I am going to ease that transition for you. We will understand how to make your first submission on Kaggle by working through their House Price competition. We’ll go through the different steps you would need to take in order to ace these Kaggle competitions, such as fea...
Learn how to become a data analyst and launch your career in data analytics, including the necessary skills you need to succeed. Read on to take your next steps.
Given that Kaggle offers free GPU usage, and that it's so easy to enable one, there's no harm in trying one out for yourself to see what kind of difference it makes. But remember that there is a limit to how long you can keep a GPU running, so use its power wisely....
Create a Python environment that includes common data science packages. We like to use themambapackage manager and theconda-forgechannel. Clone this repository. Download the PUDL dataset from Kaggle(it's ~20GB!) and unzip it somewhere conveniently accessible from the notebooks in the cloned repo...
This post presents a pathway to achieving success in Kaggle competitions as a beginner. The path generalizes beyond competitions, however. Read on for insight into succeeding while approaching any data science project.
Create a Python environment that includes common data science packages. We like to use themambapackage manager and theconda-forgechannel. Clone this repository. Download the PUDL dataset from Kaggle(it's ~20GB!) and unzip it somewhere conveniently accessible from the notebooks in the cloned repo...