We (Kaggle) have removed the original version of this dataset per aDMCAtakedownrequest from IMDB. In order to minimize the impact, we're replacing it with asimilar set of films and data fields from The Movie Database (TMDb) inaccordance withtheir terms of use. The bad news isthat kernels...
ax2.set_ylabel('平均利润率',fontsize=16) ax2.legend(loc=1,fontsize=10) # loc=1,2,3,4分别表示四个角,和四象限顺序一致 # 将利润率坐标轴以百分比格式显示 import matplotlib.ticker as mtick fmt='%.1f%%' yticks = mtick.FormatStrFormatter(fmt) ax2.yaxis.set_major_formatter(yticks) plt...
tmdb-5000-movie-data.zip tmdb-5000-movie-data.zip评分: kaggle 上面的 tmdb 数据,5000 个电影数据,提供开发使用,_merge 为将 credits 里面的 cast 演员信息合并到了 movies 文件中生成的合并文件 tmdb_5000_credit tmdb_5000_movies tmdb kaggle movies2020-05-14 上传大小:14.00MB...
用布尔索引过滤 # 读取movie数据集,创建布尔条件 In[15]: movie = pd.read_csv('data/movie.csv', index_col='movie_title')...使用布尔值、整数、标签进行选取 # 读取movie,根据布尔条件选取 In[89]: movie = pd.read_csv('data/movie.csv', index_col='movie_title...= movie.iloc[criteria....
json()).then(data => { setMoviePlots(data); setIsLoading(false) }); } return ( <> Search <svg className="w-4 h-4 text-gray-400" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 20 20"> <path stroke="...
I used thegoodbooks-10kdataset available on Kaggle. It contains ratings and books csv files. The first one contains rating data for 10,000 books rated by over 53,000 users. The second file contains the metadata of the 10,000 books (title, author, ISBN, etc.). ...
How do you deal with kaggle imbalanced data? Let's see if we can apply some techniques for dealing with class imbalance to improve these results. Change the performance metric. Accuracy is not the best metric to use when evaluating imbalanced datasets as it can be misleading. ... ...
Using the data froman old Kaggle competition “Bag of Words Meets Bags of Popcorn” importpandas as pdimportnumpy as npimporttensorflow as tfimportnltk, re, timefromnltk.corpusimportstopwordsfromcollectionsimportdefaultdictfromtqdmimporttqdmfromsklearn.model_selectionimporttrain_test_splitfromkeras.preproce...
MovieLens数据集(http://files.grouplens.org/datasets/movielens/ ) 是美国Minnesota 大学计算机科学与工程学院的 GroupLens 项目组采集的一组从20世纪90年代末到21世纪初由MovieLens用户提供的电影评分数据,该数据集包括电影评分、电影元数据(时间与类型)以及关于用户的数据(年龄、性别、职业、邮编)。 MovieLen 1M版本...
Explore and run machine learning code with Kaggle Notebooks | Using data from Netflix Movies and TV Shows