Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
如果你的方向是stat相关,比如stat,data science啦,OR啦,我比较推荐有一个Kaggle的经历,因为Kaggle比赛非常地target在对real dataset的处理上,而且每个比赛都有个专栏kernel,参加比赛的data scientist会分享他们的idea/code,我觉得这样的经历能让人快速高效提升实战技能。 现在对我们系的学弟学妹,我都建议他们去做个Kagg...
kaggle.api.dataset_download_files(username/diabetes-dataset,path=./data,unzip=True) 这段代码将下载名为“diabetes-dataset”的数据集,并将其解压到你的工作目录下的“data”文件夹中。 2.4数据集探索 下载数据集后,下一步是探索数据集。数据探索是数据科学项目中非常重要的一步,它可以帮助你理解数据的结构、...
绝大多数课堂上用的还是只有几百个几千个数据的UCI dataset。Kaggle是缩小这个gap最好的一个地方。
Further Testing (on an unseen dataset) We tested our models (keras and xgboost) on a completely new dataset to test its perfomance against real world news. Conclusion We concluded that deep learning models are the best for this problem since they excel at handling large amounts of data and ...
After applying Exploratory Data Analysis and Feature Engineering, the stroke prediction is done by using ML algorithms including Ensembling methods. 100% accuracy is reached in this notebook. The dataset is taken fromhttps://www.kaggle.com/datasets/jillanisofttech/brain-stroke-dataset. Also, the no...
“European Soccer Database” is an example of a great SQLite-type Dataset. Archives Although not technically a file format per se, Kaggle also has first-class support for files compressed using the ZIP file format as well as other common archive formats like 7z. ...
Statahas very well outperformed R and Python with Female Data Enthusiasts and the possible explanation for this could be the increased penetration of Stata as a language in Academia and Research. Well, that’s a simple Gender Diversity Analysis of Data Science Industry with Kaggle Dataset. ...
2.2 Import Dataset 2.3 Check Basic Information 2.4 Check Missing Values Chapter 03 Descriptive Analysis 3.1 Overview 3.2 Dividing Features into Numerical or Categorical 3.3 Categorical Features 3.3.1 Mapping Method.1 Method.2 3.3.2 Distribution of Categorical Variables ...
In order to understand our data, we can look at each variable and try to understand their meaning and relevance to this problem. I know this is time-consuming, but it will give us the flavour of our dataset. In order to have some discipline in our analysis, we can create an Excel spr...