Search is not available for this dataset
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rjcnrd/housing-requests | DS_technical_test_tutorial.ipynb | DS_technical_test_tutorial.ipynb | py | 30,005 | 1 | en | python | code |
ncooper1106/python-challenge | PyBank/main.ipynb | main.ipynb | py | 1,885 | 423 | en | python | code |
ashwinichoure/newyork-data-cab | NewYorkdata.ipynb | NewYorkdata.ipynb | py | 3,361 | 742 | en | python | code |
corina-cerezo/IA-Proyecto-3 | Evaluación Final.ipynb | Evaluación Final.ipynb | py | 21,651 | 2,134 | en | python | code |
atenhave/bAbiBot | babibot.ipynb | babibot.ipynb | py | 3,203 | 267 | en | python | code |
IsabellaAguilera/sqlalchemy_challenge | climate_starter.ipynb | climate_starter.ipynb | py | 9,206 | 3,807 | en | python | code |
prashanthbasani/COVID-explore-data | Explore.ipynb | Explore.ipynb | py | 8,785 | 1,303 | en | python | code |
EricaHD/SemiSupervisedLearning | fastswa_mean_teacher/modelEval.ipynb | modelEval.ipynb | py | 7,476 | 534 | en | python | code |
EricaHD/SemiSupervisedLearning | archived/create_mini_dataset.ipynb | create_mini_dataset.ipynb | py | 1,996 | 1,327 | ko | python | code |
Kkyn-ltcode/Netflix-Shows | netflix.ipynb | netflix.ipynb | py | 11,072 | 2 | vi | python | code |
mswetha1708/MultiClass-Image-Classification | PR_proj.ipynb | PR_proj.ipynb | py | 3,429 | 214 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/9.opencv_image_arithmetic.ipynb | 9.opencv_image_arithmetic.ipynb | py | 2,447 | 203 | en | python | code |
cesar-guibo/Beer-Challenge-by-Visio | Demo.ipynb | Demo.ipynb | py | 2,247 | 122 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/4.opencv_translate.ipynb | 4.opencv_translate.ipynb | py | 1,730 | 170 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/12.opencv_split_merge.ipynb | 12.opencv_split_merge.ipynb | py | 1,566 | 169 | en | python | code |
kareem-desouky22/chatbot_nltk | chatbot_nltk.ipynb | chatbot_nltk.ipynb | py | 4,935 | 278 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/2.opencv_getting_setting.ipynb | 2.opencv_getting_setting.ipynb | py | 2,489 | 212 | en | python | code |
bgamboap/intro-data-science | Homework/HW2/.ipynb_checkpoints/HW2_DistancesAndVisualization-checkpoint.ipynb | HW2_DistancesAndVisualization-checkpoint.ipynb | py | 6,686 | 807 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/1.opencv_load_image.ipynb | 1.opencv_load_image.ipynb | py | 1,506 | 155 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/10.opencv_bitwise.ipynb | 10.opencv_bitwise.ipynb | py | 2,262 | 180 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/11.opencv_masking.ipynb | 11.opencv_masking.ipynb | py | 1,894 | 167 | en | python | code |
JaceBlack/MachineLearning | Assignment3/digit.ipynb | digit.ipynb | py | 1,905 | 167 | en | python | code |
kshitijvalavil/Data-Analysis | WidhyaProjects/Covid19.ipynb | Covid19.ipynb | py | 2,282 | 1,736 | en | python | code |
bgamboap/intro-data-science | Homework/HW4/HW4_SVM.ipynb | HW4_SVM.ipynb | py | 4,061 | 479 | en | python | code |
vamsibanda/LanguageIdentification | LanguageModel.ipynb | LanguageModel.ipynb | py | 8,078 | 666 | en | python | code |
cesar-guibo/Beer-Challenge-by-Visio | Analysis.ipynb | Analysis.ipynb | py | 14,549 | 1,179 | en | python | code |
bgamboap/intro-data-science | Practical Lessons/Week 6/.ipynb_checkpoints/Evaluation-checkpoint.ipynb | Evaluation-checkpoint.ipynb | py | 8,306 | 530 | en | python | code |
rcortezk9/tensorflow_lessons | 04_transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb | 04_transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb | py | 13,014 | 947 | en | python | code |
AshishKempwad/Linear-Regression- | q4.ipynb | q4.ipynb | py | 3,260 | 1,213 | en | python | code |
Tetratic/IP1_BSJ | IP1_BSJ.ipynb | IP1_BSJ.ipynb | py | 2,257 | 315 | en | python | code |
bgamboap/intro-data-science | Practical Lessons/Week 5/Regression.ipynb | Regression.ipynb | py | 2,640 | 533 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/3.opencv_drawing.ipynb | 3.opencv_drawing.ipynb | py | 3,549 | 256 | en | python | code |
ahmed-elbaz/Home-Credit-Default-Risk-Python | Home_Credit.ipynb | Home_Credit.ipynb | py | 25,652 | 4,218 | en | python | code |
debskiszymon/zadanie_baza_filmow | Zadanie Baza Filmów.ipynb | Zadanie Baza Filmów.ipynb | py | 1,795 | 1,844 | en | python | code |
kshitijvalavil/Data-Analysis | WidhyaProjects/StockPricePred.ipynb | StockPricePred.ipynb | py | 2,578 | 1,317 | en | python | code |
Ankursrivastavaaa/IIT-BikeSharingDemand | Bike Sharing Demand.ipynb | Bike Sharing Demand.ipynb | py | 14,371 | 2,760 | en | python | code |
bgamboap/intro-data-science | .ipynb_checkpoints/UsefulFunctions-checkpoint.ipynb | UsefulFunctions-checkpoint.ipynb | py | 377 | 179 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/5.opencv_rotate.ipynb | 5.opencv_rotate.ipynb | py | 2,102 | 191 | en | python | code |
kshitijvalavil/Data-Analysis | [Kshitij Valavil]Capstone Project 2/Casptone-Project 2.ipynb | Casptone-Project 2.ipynb | py | 5,153 | 2,489 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/6.opencv_resizing.ipynb | 6.opencv_resizing.ipynb | py | 2,710 | 214 | en | python | code |
brahimbellahcen/facenet-1 | src/test0.ipynb | test0.ipynb | py | 1,730 | 507 | en | python | code |
doctorai-demo/opencv-tutorials | chapter-1-basics/7.opencv_flipping.ipynb | 7.opencv_flipping.ipynb | py | 1,525 | 168 | en | python | code |
monofo/network-analysis-in-biology_python | network_motifs/subgraphs_random_networks.ipynb | subgraphs_random_networks.ipynb | py | 2,002 | 181 | en | python | code |
dharmesh312/CVML-COURSE | mnistLearningP2.ipynb | mnistLearningP2.ipynb | py | 2,959 | 211 | en | python | code |
monofo/network-analysis-in-biology_python | network_models/network_statistical_analysis.ipynb | network_statistical_analysis.ipynb | py | 2,992 | 373 | en | python | code |
rohansanjay/math-stats | notebooks/computer_project_1.ipynb | computer_project_1.ipynb | py | 6,934 | 343 | en | python | code |
monofo/network-analysis-in-biology_python | centrality_analysis/centrality_analysis.ipynb | centrality_analysis.ipynb | py | 2,541 | 302 | en | python | code |
monofo/network-analysis-in-biology_python | network_models/scale-free_network_model.ipynb | scale-free_network_model.ipynb | py | 1,821 | 275 | en | python | code |
monofo/network-analysis-in-biology_python | network_propagation/network_propagation.ipynb | network_propagation.ipynb | py | 2,305 | 294 | en | python | code |
jhb10c/SMRTsim | df/MRTEmissionsSimulator.ipynb | MRTEmissionsSimulator.ipynb | py | 3,291 | 221 | en | python | code |
monofo/network-analysis-in-biology_python | network_models/erdos_renyi_model.ipynb | erdos_renyi_model.ipynb | py | 4,912 | 494 | en | python | code |
VoMinhTri1008/XuLyDuLieuLon | bank_pyspark.ipynb | bank_pyspark.ipynb | py | 1,655 | 375 | en | python | code |
monofo/network-analysis-in-biology_python | network_robustness/network_robustness.ipynb | network_robustness.ipynb | py | 3,211 | 292 | en | python | code |
akhil9650/Pandas-Operations | Dataframe 1.ipynb | Dataframe 1.ipynb | py | 5,129 | 11,764 | en | python | code |
akhil9650/Pandas-Operations | Dataframe 3.ipynb | Dataframe 3.ipynb | py | 5,298 | 12,649 | en | python | code |
monofo/network-analysis-in-biology_python | network_models/lattice_Watts-Strogatz_model.ipynb | lattice_Watts-Strogatz_model.ipynb | py | 1,606 | 234 | en | python | code |
monofo/network-analysis-in-biology_python | network_epidemic_processes/epidemic_processes_in_complex_networks.ipynb | epidemic_processes_in_complex_networks.ipynb | py | 5,392 | 419 | en | python | code |
arjitsakhuja/Analyzing-the-results-of-AB-Tests | Analyzing the results of AB Tests.ipynb | Analyzing the results of AB Tests.ipynb | py | 6,046 | 864 | en | python | code |
Sebastian-Koenig/Google-Quest-QandA-Kaggle-Competition | QA Data Exploration.ipynb | QA Data Exploration.ipynb | py | 1,905 | 1 | en | python | code |
monofo/network-analysis-in-biology_python | network_motifs/network_motif_analysis.ipynb | network_motif_analysis.ipynb | py | 4,524 | 437 | en | python | code |
akhil9650/Pandas-Operations | Visualization.ipynb | Visualization.ipynb | py | 1,303 | 777 | en | python | code |
badschool3/SPST_S | Project_SPST_S_Crollv1.0.ipynb | Project_SPST_S_Crollv1.0.ipynb | py | 8,948 | 9,083 | en | python | code |
halflearned/halflearned.github.io | notes/empiricalprocesses/empiricalprocesses.ipynb | empiricalprocesses.ipynb | py | 3,337 | 390 | en | python | code |
monofo/network-analysis-in-biology_python | network_controlability/network_controllability_matching.ipynb | network_controllability_matching.ipynb | py | 1,393 | 315 | en | python | code |
monofo/network-analysis-in-biology_python | network_controlability/network_controllability_analysis.ipynb | network_controllability_analysis.ipynb | py | 2,401 | 287 | en | python | code |
asyraf/Titanic | Titanic.ipynb | Titanic.ipynb | py | 18,173 | 2,450 | en | python | code |
dharmesh312/CVML-COURSE | mnistLeNetArchitecture.ipynb | mnistLeNetArchitecture.ipynb | py | 5,522 | 286 | en | python | code |
VoMinhTri1008/XuLyDuLieuLon | Association_Rule.ipynb | Association_Rule.ipynb | py | 1,576 | 583 | en | python | code |
dharmesh312/CVML-COURSE | steganylysis.ipynb | steganylysis.ipynb | py | 11,205 | 442 | en | python | code |
nilamchorghe/credit_eda_case_study | Credit_EDA_Case_Study.ipynb | Credit_EDA_Case_Study.ipynb | py | 30,965 | 8,956 | en | python | code |
samuelireke/Object-Oriented-Programming-Projects | Polygon Area Calculator.ipynb | Polygon Area Calculator.ipynb | py | 5,842 | 357 | en | python | code |
xotofloyt/3-Exploring-Ebay-Car-Sales-Data | Guided Project Exploring Ebay Car Sales Data.ipynb | Guided Project Exploring Ebay Car Sales Data.ipynb | py | 10,826 | 3,561 | en | python | code |
sr525/SG | SGML-Adaboost_all.ipynb | SGML-Adaboost_all.ipynb | py | 22,520 | 1,059 | en | python | code |
mertalacannn/data_visualization | Seaborn Tutorial.ipynb | Seaborn Tutorial.ipynb | py | 1,500 | 901 | en | python | code |
Non-Contradiction/Introduction-to-SAS | Lecture2-Read Data into SAS (2).ipynb | Lecture2-Read Data into SAS (2).ipynb | sas | 12,641 | 14,792 | en | sas | code |
Non-Contradiction/Introduction-to-SAS | Lecture3-1-Review of Reading Data into SAS.ipynb | Lecture3-1-Review of Reading Data into SAS.ipynb | sas | 9,696 | 13,425 | en | sas | code |
Non-Contradiction/Introduction-to-SAS | .ipynb_checkpoints/Lecture5-Creating List Reports-checkpoint.ipynb | Lecture5-Creating List Reports-checkpoint.ipynb | sas | 15,640 | 23,436 | en | sas | code |
davideiacobs/Coursera_Capstone | Capstone Week 3 Project.ipynb | Capstone Week 3 Project.ipynb | py | 12,025 | 651 | en | python | code |
golivo28/Linear_Regression_from-Scratch | Linear_Regression_from_Scratch.ipynb | Linear_Regression_from_Scratch.ipynb | py | 2,479 | 2,163 | en | python | code |
henrychen0220/Human-Detection | Learning Pytorch/Save and Load Data.ipynb | Save and Load Data.ipynb | py | 1,954 | 228 | en | python | code |
mrunalsalvi94/Credicxo | Credicxo assignment - Deep Learning.ipynb | Credicxo assignment - Deep Learning.ipynb | py | 5,654 | 3,589 | en | python | code |
ScriptMigo/EDA-Stuff | bittrex.ipynb | bittrex.ipynb | py | 858 | 120 | en | python | code |
samuelireke/Object-Oriented-Programming-Projects | Probability Calculator.ipynb | Probability Calculator.ipynb | py | 8,244 | 519 | en | python | code |
henrychen0220/Human-Detection | Learning Pytorch/.ipynb_checkpoints/Pytorch Official Tutorial-checkpoint.ipynb | Pytorch Official Tutorial-checkpoint.ipynb | py | 522 | 274 | en | python | code |
Nisar15/Nisar | tree_based_models.ipynb | tree_based_models.ipynb | py | 5,859 | 1,599 | en | python | code |
kayleesr/week_8-9 | Scidmore-Rossing, K. (asnwers only) - week_9_practical.ipynb | Scidmore-Rossing, K. (asnwers only) - week_9_practical.ipynb | r | 4,369 | 277 | en | r | code |
henrychen0220/Human-Detection | Learning Pytorch/.ipynb_checkpoints/Save and Load Data-checkpoint.ipynb | Save and Load Data-checkpoint.ipynb | py | 1,569 | 1,304 | en | python | code |
AjayKhalsa/Malaria-Detection | Malaria.ipynb | Malaria.ipynb | py | 3,644 | 773 | en | python | code |
abhishekgotgithub/house_price | visualization/visualization.ipynb | visualization.ipynb | py | 800 | 494 | en | python | code |
mertalacannn/data_visualization | Matplotlib Tutorial.ipynb | Matplotlib Tutorial.ipynb | py | 5,214 | 853 | en | python | code |
Non-Contradiction/Introduction-to-SAS | .ipynb_checkpoints/Lecture3-2-Assignment Statement and Numeric Functions-checkpoint.ipynb | Lecture3-2-Assignment Statement and Numeric Functions-checkpoint.ipynb | sas | 11,282 | 13,566 | en | sas | code |
Non-Contradiction/Introduction-to-SAS | .ipynb_checkpoints/Lecture1-Read Data into SAS (1)-checkpoint.ipynb | Lecture1-Read Data into SAS (1)-checkpoint.ipynb | sas | 10,246 | 5,297 | en | sas | code |
sr525/SG | SG-SVM.ipynb | SG-SVM.ipynb | py | 6,674 | 494 | en | python | code |
henrychen0220/Human-Detection | Learning Pytorch/.ipynb_checkpoints/Finetuning Torchvision Models-checkpoint.ipynb | Finetuning Torchvision Models-checkpoint.ipynb | py | 4,011 | 189 | en | python | code |
riyagupta0701/AI-Practice | Visualizations Exercise.ipynb | Visualizations Exercise.ipynb | py | 1,908 | 986 | en | python | code |
riyagupta0701/AI-Practice | Pandas.ipynb | Pandas.ipynb | py | 2,253 | 2,226 | en | python | code |
brframe-ai/ml-basics-kr | 05a - Deep Neural Networks (TensorFlow)_KR.ipynb | 05a - Deep Neural Networks (TensorFlow)_KR.ipynb | py | 17,044 | 900 | en | python | code |
kimhyoenwoo/NLP | 주소명추출하기.ipynb | 주소명추출하기.ipynb | py | 2,339 | 348 | ko | python | code |
brframe-ai/ml-basics-kr | 05c - Transfer Learning (PyTorch)_KR.ipynb | 05c - Transfer Learning (PyTorch)_KR.ipynb | py | 16,064 | 917 | en | python | code |
riyagupta0701/AI-Practice | CNN_Animal_Recognition/CNN_Test.ipynb | CNN_Test.ipynb | py | 584 | 257 | en | python | code |