Datasets for classification kaggle
WebThe dataset contains 6 different labels (Computer Science, Physics, Mathematics, Statistics, Quantitative Biology, Quantitative Finance) to classify the research papers based on Abstract and Title. The value 1 in label columns represents that label belongs to that paper. Each paper has multiple labels as 1. WebThe GTZAN dataset is the most-used public dataset for evaluation in machine listening research for music genre recognition (MGR). The files were collected in 2000-2001 from …
Datasets for classification kaggle
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WebDownload Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data … WebFind Open Datasets and Machine Learning Projects Kaggle Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like …
WebThe Hate Speech and Offensive Language dataset on Kaggle is a great source for a Python natural language processing problem looking at multiclass classification – determining whether the text is offensive, hate speech, or neither. You might also consider Fake News detection. WebApr 13, 2024 · Study datasets. This study used EyePACS dataset for the CL based pretraining and training the referable vs non-referable DR classifier. EyePACS is a public …
WebHere are some of the most popular datasets on Kaggle. Credit Card Fraud Detection. This dataset helps companies and teams recognise fraudulent credit card transactions. The dataset contains transactions made by European credit cardholders in September 2013. The dataset presents details of 284,807 transactions, including 492 frauds, that ... WebThe data has been balanced in order to contain ~8000 of each class. Trigger Warning These tweets either describe a bullying event or are the offense themselves, therefore explore it to the point where you feel comfortable. How to use this dataset Create a multiclassification model to predict cyberbullying type;
WebThis dataset is a collection newsgroup documents. The 10 newsgroups collection has become a popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering. Content. There is file (class.txt) that contains a reference to the document_id number and the newsgroup it is ...
WebThis small dataset is designed to provide an idea about whether a person's gender can be predicted with an accuracy significantly above 50% based on their personal preferences. Content The data was collected in Fall 2015 from university students of 21 nationalities studying various majors in various countries using this form: deyongs snuggle touch fleece throwWebApr 13, 2024 · Study datasets. This study used EyePACS dataset for the CL based pretraining and training the referable vs non-referable DR classifier. EyePACS is a public domain fundus dataset which contains ... church tx 22 specialWebAbout Dataset Extraction was done by Barry Becker from the 1994 Census database. Prediction task is to determine whether a person makes over 50K a year. Columns are: age: continuous. workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. fnlwgt: continuous. deyongs winchester bath sheetWebJan 10, 2024 · The dataset can be downloaded from here: Train Dataset. 4. Boston Housing Dataset (Beginner) The Boston Housing dataset is another popular dataset on Kaggle. This dataset contains information about … deyongs snuggle touch throw blueWebContext. Bob has started his own mobile company. He wants to give tough fight to big companies like Apple,Samsung etc. He does not know how to estimate price of mobiles his company creates. In this competitive mobile phone market you cannot simply assume things. To solve this problem he collects sales data of mobile phones of various companies. deyongs zebra throwWebThe Python code below will create a synthetic dataset of 1 million points. You can make it as difficult as you wish by playing with parameters of make_classification and … deyongs snuggle touch throwWebApr 21, 2024 · Melbourne Housing Market dataset is an all-time favorite learning resource for beginners into data science. It has a lot of features: numeric, categorical, and even geographic data ( Latitude and Longitude). So it can also be used for geospatial analysis and other clustering problems. church tyler tx