This seems to be a dataset about a telecom company's customers, and whether they churned (i.e., left the company) or not. It could be used for a variety of purposes, such as understanding the characteristics of customers who churn, or building a predictive model to predict churn. What ...
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classNameDataset(Dataset):#数据集类def__init__(self, is_train_set=True):train = pd.read_csv('train.tsv', sep='\t')# 分隔符是空格self.phrase = train['Phrase']self.sentiment = train['Sentiment']self.len=len(self.phrase)def__getitem__(self, index):returnself.phrase[index], self.se...
Thank you for viewing the dataset Topic · Posted2y ago· InUS Veteran Population By Branch from 2000 to 2023 2 I hope you find the data useful for your research. Feel free to ask questions about the data for community dialogue, which will allow others to respond and share their insights...
Data Scientist Sohier is a data scientist on the competitions team. Before entering the tech industry he earned a degree in biology from Northwestern University and spent a decade in renewable energy. When he's not asking "what's the worst thing that could go wrong with this dataset" he enj...
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Above is the structure of the training dataset. The target variable is the MedHouseVal and the other variables can be used as features in the model apart from ID which is just an identification column. Latitude and Longitude probably wouldn’t be good to just put into the mode as lots...
Python: Computer Scientist, Data Scientist, Engineer, Machine Learning Engineer, Other, Programmer, Researcher, Scientist, Software Developer You can find summaries of the other questions in the survey at the link below. Ananonymized datasetof survey responses is also available, as is the “Kaggle ...
Hiroki is currently working as a data scientist and is ranked in the top 100 of the world’s largest platforms for data science competition.