Search is not available for this dataset
repo_name
stringlengths 3
133
| sub_path
stringlengths 2
984
| file_name
stringlengths 2
546
| file_ext
stringlengths 0
20
| file_size_in_byte
int64 84
7.92M
| line_count
int64 1
910k
| lang
stringclasses 148
values | program_lang
stringclasses 576
values | doc_type
stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|
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
|