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Ester, M., H. P. Kriegel, J. Sander, and X. Xu, “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise” in Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996. Samson Ki...
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 scie...
The dataset can answer lots of amazing questions for data scientists and anyone interested to know the present state of data science worldwide. Available for download fromKaggle Data Science survey data. In this article you will analyze and study the professional lives of the participants,time spen...
[val_idx]train_data=lgb.Dataset(data=trn_x,label=trn_y)valid_data=lgb.Dataset(data=val_x,label=val_y)param={'application':'binary','num_iterations':4000,'learning_rate':0.03,'num_leaves':24,'feature_fraction':0.9,'bagging_fraction':0.9,'lambda_l1':0.1,'lambda_l2':0.1,'min_split...
On Wednesday,Google said in a blog postthat Kaggle will be joining Google Cloud, in which the skills of Kaggle's team will be put to use in machine learning training and deployment services, as well as dataset storage and query technologies. ...
在学校里往往是拿不到任何大规模的数据。绝大多数课堂上用的还是只有几百个几千个数据的UCI dataset。
Models will be trained on the original and SMOTEd data and their performance will be measured on the entire data set. As a bonus, we are going to have some fun and use K-means centroids of the negative examples together with the original positive examples as a new dataset and train our...
the first model that we will be fitting to our dataset is a linear regression model. But the skewness in our target feature poses a problem for a linear model because some values will have an asymmetric effect on the prediction. Having a normally distributed data is one of theassumptions of...
ImageFolder(root='data/cat_vs_dog/val', transform=transform) val_loader = DataLoader(val_dataset...