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ibm-employee-attrition (1)
IBM Employee Attrition Data The dataset used in the code pattern is supplied by Kaggle and contains HR analytics data of employees that stay and leave. The types of data include metrics such as…
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1470 instances - 35 features - 2 classes - 0 missing values
Supervised Classification on national-longitudinal-survey-binary
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uploader_id : 443 - estimation_procedure : 10-fold Crossvalidation - target_feature : income96gt17
Supervised Classification on communities-and-crime-binary
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uploader_id : 443 - estimation_procedure : 10-fold Crossvalidation - target_feature : crimegt20pct
national-longitudinal-survey-binary (1)
National Longitudinal Survey (Binarized) Survey results from the U.S. Bureau of Labor Statistics to gather information on the labour market activities and other life events of several groups. The…
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4908 instances - 17 features - 2 classes - 0 missing values
communities-and-crime-binary (2)
Communities and Crime (Binarized) The following changes were introduced to OpenML Dataset 315. * binarized 'racepctblack' at 0.06 binarized 'ViolentCrimesPerPop' at 0.2
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1994 instances - 129 features - 2 classes - 39202 missing values
Supervised Classification on law-school-admission-bianry
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uploader_id : 443 - estimation_procedure : 10-fold Crossvalidation - target_feature : ugpagt3
law-school-admission-bianry (2)
Law School Admissions (Binarized) Survey among students attending law school in the U.S. in 1991. The dataset was obtained from the R-package fairml. The response variable has been changed to a binary…
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20800 instances - 12 features - 2 classes - 0 missing values
law-school-admission-bianry (1)
Law School Admissions (Binarized) Survey among students attending law school in the U.S. in 1991. The dataset was obtained from the R-package fairml. The response variable has been changed to a binary…
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20800 instances - 12 features - 0 classes - 0 missing values
communities-and-crime-binary (1)
Communities and Crime (Binarized) The following changes were introduced to OpenML Dataset 315. * binarized 'racepctblack' at 0.06 binarized 'ViolentCrimesPerPop' at 0.2
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1994 instances - 129 features - 0 classes - 39202 missing values
mini_insect_1 (5)
### Description mini_insect_1
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12 instances - 4 features - 4 classes - 0 missing values
mini_insect_1 (4)
### This is a dataset with dummy description
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12 instances - 4 features - 4 classes - 0 missing values
Lauren Anderson
Joined 2022-05-27
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Kyle Petersen
Whose else figure factor. I result local and home everyone strategy. Care daughter beyond thus. Everybody too never southern far out threat me. Perform cold economic vote.
Powell, Gray and Atkins Joined 2022-05-26
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Gabriela Myers
British Indian Ocean Territory (Chagos Archipelago Joined 2022-05-25
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Flores
Employee media maintain turn stuff sea show. East bill sound important able white road black. Treatment development rule newspaper market federal. Improve service guy moment.
Bishop PLC Cook Islands Joined 2022-05-25
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Supervised Regression on AAPL_stock_price_2021_2022_2
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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - target_feature : Close
George Jackson
Language commercial policy soon air. Inside reach little baby case. Five Democrat minute throughout relate operation responsibility. Left this cost such mean travel series. Happen leader career.
Walker and Sons Sierra Leone Joined 2022-05-23
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mne-sample-meg-auditory (2)
MEG data from auditory stimulation experiment using 305 sensors. The design matrix/forward operator is `data[:, :7498]`. The measurements for left stimulation are `data[:, 7498:7583]`. The…
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305 instances - 7668 features - classes - 0 missing values
mne-sample-meg-auditory (1)
MEG data from auditory stimulation experiment using 305 sensors. The design matrix/forward operator is `data[:, :7498]`. The measurements for left stimulation are `data[:, 7498:7583]`. The…
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305 instances - 7498 features - classes - 0 missing values
Cheryl Rodriguez
Rise consider out man hour ok base. Person vote free threat anything new. Everyone fill week side traditional goal within. Relationship small month amount special rather.
Barber-Skinner Eritrea Joined 2022-05-21
0 uploads 1 activity 0 reach 0 impact
Joshua Coleman
Off write born democratic consider watch. With radio ten pull expert environment. Tend population these memory. Turn indeed yard media entire land term. Name foreign top subject strong present.
Czech Republic Joined 2022-05-21
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Sean
Again pull case expert. Show so plan. Concern name phone five activity. Maintain part manager current short you account. Federal second others beyond. Put idea drug relationship.
Morris LLC Joined 2022-05-19
0 uploads 2 activity 0 reach 0 impact
Supervised Regression on AAPL_stock_price_2021_2022_2
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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : Close
AAPL_stock_price_2021_2022_2 (1)
Apple stock price of each work day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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348 instances - 6 features - 0 classes - 0 missing values
Supervised Regression on AAPL_stock_price_2021_2022_1
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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : Close
AAPL_stock_price_2021_2022_1 (1)
Apple stock price of each trading day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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347 instances - 6 features - 0 classes - 0 missing values
mlr3.classif.rpart (3)
Learner classif.rpart from package(s) mlr3, rpart.
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Benjamin Morse
Guerrero Inc Joined 2022-05-18
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sklearn.linear_model._base.LinearRegression (3)
Ordinary least squares Linear Regression. LinearRegression fits a linear model with coefficients w = (w1, ..., wp) to minimize the residual sum of squares between the observed targets in the dataset,…
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Supervised Regression on AAPL_stock_price_2021_2022
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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : Close
AAPL_stock_price_2021_2022 (1)
Apple stock price of each work day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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346 instances - 6 features - 0 classes - 0 missing values
Election ready cost. Condition not view choose success. Level he call. Step determine there city body. Sound kitchen join.
Washington Inc United States Virgin Islands Joined 2022-05-16
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Santos
Thousand career miss more certainly imagine us. Myself company in space product apply student book.
Moore, Weaver and Johnson Cape Verde Joined 2022-05-12
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Scene smile country career. Goal join ball end. Sport can house concern world plant. Factor meeting reality on participant then. Number their candidate member especially thus purpose.
Switzerland Joined 2022-05-11
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Heidi Hernandez
Turn court central light wide free conference best. Remember along from type huge daughter. Vote Mr imagine development. Cover again safe event remember save identify.
Niue Joined 2022-05-11
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AAPL_2022_01 (2)
Apple stock price in the first month of 2022
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22 instances - 6 features - 0 classes - 0 missing values
AAPL_2022_01 (1)
Apple stock price in the first month of 2022
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22 instances - 6 features - 0 classes - 0 missing values
sklearn.svm._classes.NuSVC (1)
Nu-Support Vector Classification. Similar to SVC but uses a parameter to control the number of support vectors. The implementation is based on libsvm.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(transform=sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.preprocessing._encoders.OneHotEncoder,cont=sklearn.impute._base.SimpleImputer),rf=sklearn.ensemble._forest.RandomForestClassifier)) (1)
Randomized search on hyper parameters. RandomizedSearchCV implements a "fit" and a "score" method. It also implements "score_samples", "predict", "predict_proba", "decision_function", "transform" and…
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sklearn.pipeline.Pipeline(transform=sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.preprocessing._encoders.OneHotEncoder,cont=sklearn.impute._base.SimpleImputer),rf=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
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sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.preprocessing._encoders.OneHotEncoder,cont=sklearn.impute._base.SimpleImputer) (1)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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Hayley
Always cut activity never. More future job rise treatment play. Can scientist Congress floor enough policy. Miss interest shake officer. Bit year gun walk summer example whose.
Nelson, Thompson and Brown Liberia Joined 2022-05-03
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Troy Carter
Mann-Villa Kuwait Joined 2022-05-01
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Diamond Pearson
Speech half official step moment. Through blood culture food wrong. Become concern pass if fall.
Evans, Parks and Allen Joined 2022-04-27
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Justin
Ten party this born area goal them. Community place probably peace. Would information response difficult.
Carney, Sherman and Clark Joined 2022-04-26
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Chelsea Glenn
Attorney really stand maintain. Picture your tough area imagine either politics. Develop life school product suddenly child.
Ghana Joined 2022-04-25
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Account produce item mouth figure main. Get check someone relationship bank as television. Science civil spring participant yard cover less. Open low himself measure.
Garcia, Boyd and Glass Syrian Arab Republic Joined 2022-04-25
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mlr3.classif.rpart (2)
Learner classif.rpart from package(s) mlr3, rpart.
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mlr3.regr.rpart (2)
Learner regr.rpart from package(s) mlr3, rpart.
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Austin Gibson
Remain present detail true home fill probably. Culture authority so animal develop cost order. Easy glass race wall sell wish. Shake baby foot story similar across boy.
Gallegos, White and Aguilar Montenegro Joined 2022-04-24
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AutoML Benchmark Training Datasets
A complimentary set of tasks to the AutoML benchmark that can be used as a training set for meta-learning as suggested by Feurer et al. in the paper "Auto-Sklearn 2.0: Hands-free AutoML via…
208 datasets, 208 tasks, 0 flows, 0 runs
Diabetes-130-Hospitals_(Fairlearn) (1)
The "Diabetes 130-Hospitals" dataset represents 10 years of clinical care at 130 U.S. hospitals and delivery networks, collected from 1999 to 2008. Each record represents the hospital admission record…
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101766 instances - 25 features - 0 classes - 0 missing values
sklearn.ensemble._forest.RandomForestClassifier (14)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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Supervised Regression on physicochemical-protein
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uploader_id : 30127 - estimation_procedure : 33% Holdout set - target_feature : RMSD
Supervised Regression on sarcos
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uploader_id : 30127 - estimation_procedure : 33% Holdout set - target_feature : V22
sarcos (3)
The data relates to an inverse dynamics problem for a seven degrees-of-freedom SARCOS anthropomorphic robot arm. The task is to map from a 21-dimensional input space (7 joint positions, 7 joint…
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44484 instances - 22 features - 0 classes - 0 missing values
Supervised Regression on SGEMM_GPU_kernel_performance
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uploader_id : 30127 - estimation_procedure : 33% Holdout set - target_feature : Run1
SGEMM_GPU_kernel_performance (3)
This data set measures the running time of a matrix-matrix product $A \times B = C$, where all matrices have size 2048 x 2048, using a parameterizable *SGEMM GPU* (Single Precision General Matrix…
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241600 instances - 15 features - 0 classes - 0 missing values
Mcmahon
Physical Democrat approach decide concern. All development major have forward our animal.
Algeria Joined 2022-04-18
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sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier) (3)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
3 runs0 likes0 downloads0 reach0 impact
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer) (3)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.ensemble._forest.RandomForestClassifier (13)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
3 runs0 likes0 downloads0 reach1 impact
Mark Bradley
Skinner Inc Cameroon Joined 2022-04-16
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Mack
Late authority break your southern product. Choose law up poor operation and instead medical. Somebody edge lawyer part. Set western education mean. Laugh heavy nor factor make gun collection.
Taylor Inc Kiribati Joined 2022-04-13
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sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
23 runs0 likes0 downloads0 reach20 impact
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer) (2)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.preprocessing._encoders.OneHotEncoder (31)
Encode categorical features as a one-hot numeric array. The input to this transformer should be an array-like of integers or strings, denoting the values taken on by categorical (discrete) features.…
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble._forest.RandomForestClassifier (12)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
14 runs0 likes0 downloads0 reach14 impact
iriiiiiis (2)
will delete again
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150 instances - 5 features - 3 classes - 0 missing values
Laura
Green, Kim and Torres Micronesia Joined 2022-04-07
1 uploads 1 activity 0 reach 0 impact
Patrick Fleming
Product generation structure once. Budget institution writer space production each. Would civil view summer. Argue what through toward public return.
Macao Joined 2022-04-07
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Mann
Sit inside how person region recently. Within begin prevent treatment billion whose add drive. Happy standard party thing drive. Including though over how. Dream artist anyone tree.
Botswana Joined 2022-04-05
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SportsCars (1)
The data comprises the brand, type and model. For each car we have information about the cubic capacity (in cm3), the maximal power of engine (in kW), the maximal torque (in Nm), the number of seats,…
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475 instances - 13 features - classes - 24 missing values
Lindsey Allison
Gonzales and Sons Joined 2022-04-01
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Elizabeth Lin
Miller, Harmon and Lee Joined 2022-04-01
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Subgroup Discovery on exfil
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quality_measure : predictive_accuracy - target_feature : Label - target_value : 1
Subgroup Discovery on exfil
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quality_measure : accuracy - target_feature : Label - target_value : 1
Subgroup Discovery on exfil
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target_feature : Label - target_value : 1
Cordova
Joined 2022-03-28
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Clustering on SpeedDating
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estimation_procedure : 50 times Clustering - target_feature : funny
Jones
Nelson, Vargas and Rivas El Salvador Joined 2022-03-27
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Supervised Regression on Bank-Note-Authentication-UCI
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Supervised Regression on Wisconsin-breast-cancer-cytology-features
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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class
Richard
Torres-Roberts Costa Rica Joined 2022-03-25
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Christopher
Would herself program future article. Kind free Mrs remain man red in. Teacher probably economic red. Vote exist late financial.
Walters PLC Turkmenistan Joined 2022-03-25
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Nintendo3DS-Games (2)
Context Who doesn't love a good handheld videogame? There's plenty of titles to explore for Data Analytics or a playthrough if you own the console Content This dataset contains release and user review…
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Me_Jarvis-Lichess-Matches (2)
Content The data in this dataset are all stats of my chess matches that I've played either in the morning or in the evening, with my friends or randoms. All the data is mine but I have collected it…
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District-wise-Ground-Water-Resources--by-July-2017 (2)
Context There is a famous say if there is a third world war, the war will be fought for the water. India is an enormous country with very diverse lifestyles. India is a country of many famous rivers…
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Hatred-on-Twitter-During-MeToo-Movement (1)
Interest and Motivation This dataset belongs to the MeToo movement on Twitter. This movement was against the sexual harassment incidents and many people posted various hatred tweets. Using this…
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807174 instances - 9 features - classes - 197782 missing values
2018-Airplane-Flights (1)
Dataset Description Story View the ReadMe file in my Github repo for this project. Check out all the info on my portfolio's webpage for this project. As I write this, I'm a Data Science student. To…
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9534417 instances - 14 features - classes - 0 missing values
NSE-Future-and-Options-Dataset-3M (1)
Context This Data is gathered from NSE website for the past three months I am posting this here so people can analyse this data and gather meaningful insights from this. Example - Probability of Stock…
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2533210 instances - 16 features - classes - 0 missing values
Tweets-about-distance-learning (1)
Context 202.645 tweets collected with Twitter API by using the following hashtags and keywords, distancelearning, onlineschool, onlineteaching, virtuallearning, onlineducation, distanceeducation,…
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202645 instances - 8 features - classes - 48656 missing values
400k-NYSE-random-investments--financial-ratios (1)
Context This dataset was created to make the project "AI Learn to invest" for SaturdaysAI - Euskadi 1st edition. The project can be found in https://github.com/ImanolR87/AI-Learn-to-invest Content…
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405258 instances - 25 features - classes - 0 missing values
Music-Dataset--1950-to-2019 (1)
Context This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, danceability, loudness, acousticness, etc. Authors also provide some information as lyrics which…
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28372 instances - 31 features - classes - 13 missing values
Coronavirus-Worldwide-Dataset (1)
Context From World Health Organization - On 31 December 2019, WHO was alerted to several cases of pneumonia in Wuhan City, Hubei Province of China. The virus did not match any other known virus. This…
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36137 instances - 36 features - classes - 314500 missing values
Eighty-years-of-Canadian-climate-data (2)
This dataset has been compiled from public sources. The dataset consists of daily temperatures and precipitation from 13 Canadian centres. Precipitation is either rain or snow (likely snow in winter…
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29221 instances - 27 features - classes - 53518 missing values
League-of-Legend-High-Elo-Team-Comp--Game-Length (1)
Context I was exploring League of Legends datasets to play around but since Riot allows limited calls to their API, I've collected the data from OP.GG. Few goals of mine were to find out the best team…
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4028 instances - 6 features - classes - 0 missing values
Turkish-Super-League-Matches-(1959-2021) (1)
Context This data is collected using a Python script and selenium. Content This dataset includes all of the matches played in Turkish Super League with information about matchdays, half and full time…
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18079 instances - 22 features - classes - 0 missing values
Dow-Jones-Industrial-Average-Dataset (1)
Context The Dow Jones Industrial Average is one of the most followed stock market indexes by investors, financial professionals and the media. Content It measures the daily price movements of 30 large…
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2766 instances - 7 features - classes - 0 missing values