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LucasKIJ/EMM | notebooks/synthetic_gaussian_example.ipynb | synthetic_gaussian_example.ipynb | py | 4,051 | 366 | en | python | code |
lucaskienast/Time-Series-Analysis | 5) Exogeneous Forecasting/2)_VARMAX.ipynb | 2)_VARMAX.ipynb | py | 2,412 | 296 | en | python | code |
nyanlynntherazi/My_Jupyter_Notebooks | Correcting Unstructured Scraped Data.ipynb | Correcting Unstructured Scraped Data.ipynb | py | 632 | 1,594 | my | python | code |
suhova/2021DataMining | hw2/Hometask 2 - LastFM mining.ipynb | Hometask 2 - LastFM mining.ipynb | py | 4,340 | 2,416 | en | python | code |
LucasKIJ/EMM | notebooks/synthetic_gaussian_example-Copy1.ipynb | synthetic_gaussian_example-Copy1.ipynb | py | 14,752 | 1,331 | en | python | code |
lucaskienast/Time-Series-Analysis | 2) Evaluation Frameworks/3)_Naive_Forecast.ipynb | 3)_Naive_Forecast.ipynb | py | 5,723 | 496 | en | python | code |
LucasKIJ/EMM | notebooks/emm_example_gurobi.ipynb | emm_example_gurobi.ipynb | py | 4,109 | 401 | en | python | code |
phalgunir/ML-AppBrewery | 1-LinearRegression/linear_regression.ipynb | linear_regression.ipynb | py | 4,527 | 381 | en | python | code |
LucasKIJ/EMM | notebooks/KLDivergence_example.ipynb | KLDivergence_example.ipynb | py | 4,669 | 506 | en | python | code |
LucasKIJ/EMM | notebooks/Corpus_KLL.ipynb | Corpus_KLL.ipynb | py | 3,760 | 372 | en | python | code |
nyanlynntherazi/My_Jupyter_Notebooks | State Counsellor Facebook Analysis.ipynb | State Counsellor Facebook Analysis.ipynb | py | 1,586 | 1,203 | en | python | code |
banty306/Campus-To-Corporate | Amcat_vis.ipynb | Amcat_vis.ipynb | py | 14,912 | 8,269 | en | python | code |
lucaskienast/Time-Series-Analysis | 4) Multivariate Forecasting/3b)_VAR_Extensive.ipynb | 3b)_VAR_Extensive.ipynb | py | 26,843 | 2,943 | en | python | code |
nyanlynntherazi/My_Jupyter_Notebooks | Data School Pandas.ipynb | Data School Pandas.ipynb | py | 8,960 | 9,382 | en | python | code |
lucaskienast/Time-Series-Analysis | 6) Smoothing Forecasting/3)_Single_Exp_Smooth_(SES).ipynb | 3)_Single_Exp_Smooth_(SES).ipynb | py | 1,549 | 185 | en | python | code |
LucasKIJ/EMM | notebooks/pima_example.ipynb | pima_example.ipynb | py | 10,803 | 950 | en | python | code |
nyanlynntherazi/My_Jupyter_Notebooks | Constitutional Tribunal Law Scraper (Details).ipynb | Constitutional Tribunal Law Scraper (Details).ipynb | py | 1,280 | 1,626 | en | python | code |
LucasKIJ/EMM | notebooks/reweighted_ml.ipynb | reweighted_ml.ipynb | py | 3,675 | 553 | en | python | code |
suhova/2021DataMining | hw4/kagle.ipynb | kagle.ipynb | py | 7,941 | 1,430 | en | python | code |
yihengpan/iems308hw3 | percentage.ipynb | percentage.ipynb | py | 2,017 | 1,319 | en | python | code |
nickhill97/face-mask-detection | notebooks/EDA.ipynb | EDA.ipynb | py | 2,410 | 425 | en | python | code |
RAHUL-KAD/Machine-Learning-Blogs | Regrassion/Code/multiple_linear_regression.ipynb | multiple_linear_regression.ipynb | py | 1,633 | 158 | en | python | code |
PKohli876/StudySamples | LogiscRegressionSample_Abalone.ipynb | LogiscRegressionSample_Abalone.ipynb | py | 2,540 | 476 | en | python | code |
jianghan2013/PDF-Extraction | test_PyPDF2.ipynb | test_PyPDF2.ipynb | py | 7,186 | 273 | en | python | code |
Tixu64/projet8 | P8_01_notebook_bovw.ipynb | P8_01_notebook_bovw.ipynb | py | 7,513 | 805 | en | python | code |
vitthalkcontact/Tensorddash | TensorDash-Model_remote_mobileapp_monitor/Tensorddash_model/Vitthal_ANN-TensorDash_for_GITHUB.ipynb | Vitthal_ANN-TensorDash_for_GITHUB.ipynb | py | 7,363 | 1,764 | en | python | code |
LeeSooJeong1124/2021_1_P-SAT | 패키지과제/주제분석/주제분석 2주차 패키지/Untitled.ipynb | Untitled.ipynb | py | 11,495 | 1,766 | en | python | code |
LeeSooJeong1124/2021_1_P-SAT | 패키지과제/주제분석/주제분석 1주차/Untitled.ipynb | Untitled.ipynb | py | 15,762 | 3,021 | en | python | code |
RAHUL-KAD/Machine-Learning-Blogs | Regrassion/Code/Simple_linear_regrassion.ipynb | Simple_linear_regrassion.ipynb | py | 2,727 | 326 | en | python | code |
anuradhab2018/Image-Processing-and-Text-Extraction-of-ID-Cards | Preprocesscopy.ipynb | Preprocesscopy.ipynb | py | 3,128 | 267 | en | python | code |
Danielsoeller/TH-2021-UmfrageAuswertung | Auswertung.ipynb | Auswertung.ipynb | py | 3,850 | 740 | en | python | code |
michaelcheungkm/Animating-horizontal-bar-chart | Animating horizontal bar-chart - pandas version.ipynb | Animating horizontal bar-chart - pandas version.ipynb | py | 3,217 | 7,851 | en | python | code |
tashdidabbasy/Linear-Regression-practice | insurance.ipynb | insurance.ipynb | py | 960 | 341 | en | python | code |
fits/try_samples | python/keras/contours_detection/rnn1.ipynb | rnn1.ipynb | py | 3,172 | 271 | en | python | code |
fits/try_samples | python/optimization_problem/knapsack/knapsack_dp.ipynb | knapsack_dp.ipynb | py | 3,106 | 274 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/knapsack/knapsack3_bin.ipynb | knapsack3_bin.ipynb | py | 2,244 | 153 | en | python | code |
fits/try_samples | python/opencv/video_capture/video_snapshot.ipynb | video_snapshot.ipynb | py | 737 | 143 | en | python | code |
fits/try_samples | data/application_store/shopify/market_analysis.ipynb | market_analysis.ipynb | py | 570 | 111 | en | python | code |
fits/try_samples | data/Telco-Customer-Churn/churn_classifier.ipynb | churn_classifier.ipynb | py | 1,178 | 139 | en | python | code |
fits/try_samples | python/keras/TextCNN/sample.ipynb | sample.ipynb | py | 2,127 | 145 | en | python | code |
fits/try_samples | open_data/DeepFashion/inshop/landmark_rnn1.ipynb | landmark_rnn1.ipynb | py | 3,685 | 347 | en | python | code |
fits/try_samples | python/keras/GAN/generate_sentence/gan_simple_seq2seq_sample1.ipynb | gan_simple_seq2seq_sample1.ipynb | py | 3,159 | 190 | en | python | code |
fits/try_samples | python/keras/GAN/generate_sentence/gan_simple_seq2seq_sample2.ipynb | gan_simple_seq2seq_sample2.ipynb | py | 4,385 | 231 | en | python | code |
fits/try_samples | python/keras/image_point_detection/CNN-4.ipynb | CNN-4.ipynb | py | 4,291 | 328 | en | python | code |
akashpattnaik/fantasy-cricket | .ipynb_checkpoints/ipl_player_scraper-checkpoint.ipynb | ipl_player_scraper-checkpoint.ipynb | py | 5,668 | 413 | en | python | code |
fits/try_samples | python/optimization_problem/knapsack/knapsack_pso.ipynb | knapsack_pso.ipynb | py | 2,677 | 188 | en | python | code |
fits/try_samples | python/optimization_problem/knapsack/knapsack_annealing.ipynb | knapsack_annealing.ipynb | py | 3,749 | 263 | en | python | code |
ecm200/oxford_pets | datasets_class_dev.ipynb | datasets_class_dev.ipynb | py | 2,028 | 543 | en | python | code |
fits/try_samples | python/PySpark/sample.ipynb | sample.ipynb | py | 289 | 74 | en | python | code |
fits/try_samples | python/keras/image_point_detection/RNN-1.ipynb | RNN-1.ipynb | py | 2,605 | 248 | en | python | code |
owmasch/Speed-Dating-Data-Analysis | Final_Tutorial.ipynb | Final_Tutorial.ipynb | py | 23,185 | 4,539 | en | python | code |
fits/try_samples | python/keras/text-generate/markov-sample.ipynb | markov-sample.ipynb | py | 1,436 | 143 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/cone_surface/cone_area1.ipynb | cone_area1.ipynb | py | 1,625 | 137 | en | python | code |
khareji/knn | diseasesKNN.ipynb | diseasesKNN.ipynb | py | 4,344 | 1,004 | en | python | code |
fits/try_samples | python/keras/image_binarization/cnn_encoder-decoder2.ipynb | cnn_encoder-decoder2.ipynb | py | 3,834 | 273 | en | python | code |
fits/try_samples | python/keras/image_point_detection/CNN-3.ipynb | CNN-3.ipynb | py | 3,545 | 265 | en | python | code |
fits/try_samples | python/opencv/corner_detect/corner-detect2.ipynb | corner-detect2.ipynb | py | 1,183 | 119 | en | python | code |
fits/try_samples | python/keras/image_point_detection/CNN-2.ipynb | CNN-2.ipynb | py | 2,940 | 241 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/knapsack/knapsack1.ipynb | knapsack1.ipynb | py | 1,557 | 147 | en | python | code |
fits/try_samples | python/opencv/corner_detect/corner-detect-sample.ipynb | corner-detect-sample.ipynb | py | 1,043 | 111 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/onemax/onemax1.ipynb | onemax1.ipynb | py | 1,127 | 119 | en | python | code |
fits/try_samples | blog/20190603/thompson_sampling/thompson_sampling2.ipynb | thompson_sampling2.ipynb | py | 920 | 115 | en | python | code |
akashpattnaik/fantasy-cricket | .ipynb_checkpoints/update_ipl_sheet-checkpoint.ipynb | update_ipl_sheet-checkpoint.ipynb | py | 1,716 | 174 | en | python | code |
Adityaar/ML | Experiment0-Lab1.ipynb | Experiment0-Lab1.ipynb | py | 4,832 | 745 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/knapsack/knapsack2.ipynb | knapsack2.ipynb | py | 1,941 | 166 | en | python | code |
fits/try_samples | python/keras/image_point_detection/CNN-1_learn.ipynb | CNN-1_learn.ipynb | py | 2,105 | 171 | en | python | code |
fits/try_samples | blog/20200922/RLlib_knapsack/sample2.ipynb | sample2.ipynb | py | 2,676 | 294 | en | python | code |
fits/try_samples | open_data/DeepFashion/inshop/landmark_cnn1.ipynb | landmark_cnn1.ipynb | py | 5,095 | 415 | en | python | code |
fits/try_samples | python/optimization_problem/knapsack/knapsack_ABC.ipynb | knapsack_ABC.ipynb | py | 2,044 | 160 | en | python | code |
fits/try_samples | python/deap/genetic_algorithm/onemax/onemax2.ipynb | onemax2.ipynb | py | 1,310 | 130 | en | python | code |
fits/try_samples | python/keras/image_point_detection/CNN-1_eval.ipynb | CNN-1_eval.ipynb | py | 897 | 110 | en | python | code |
fits/try_samples | data/redmine/issues/TopicModel-LDA.ipynb | TopicModel-LDA.ipynb | py | 1,248 | 169 | en | python | code |
fits/try_samples | python/opencv/fourier_transform/fourier_transform.ipynb | fourier_transform.ipynb | py | 1,365 | 129 | en | python | code |
fits/try_samples | python/reinforcement_learning/grid_world/grid_world.ipynb | grid_world.ipynb | py | 4,066 | 238 | en | python | code |
anuragvishwakarma/Final-Project | movie_reviews.ipynb | movie_reviews.ipynb | py | 41,961 | 6,056 | en | python | code |
Borre454/Web_Scraping-Mission_to_Mars | mission_to_mars.ipynb | mission_to_mars.ipynb | py | 3,218 | 408 | en | python | code |
Shea-Wolfe/moneyball | moneyball.ipynb | moneyball.ipynb | py | 1,912 | 287 | en | python | code |
SonerOz/Sentiment_Analysis | Sent.ipynb | Sent.ipynb | py | 7,024 | 959 | en | python | code |
integral-observatory/cc-crab | crab.ipynb | crab.ipynb | py | 8,974 | 436 | en | python | code |
ivyw1123/final_porto_seguro | safe_driver-Copy1.ipynb | safe_driver-Copy1.ipynb | py | 7,772 | 1,070 | en | python | code |
nauman-zahoor/Data-Quality | data_quality.ipynb | data_quality.ipynb | py | 13,922 | 692 | en | python | code |
Zengxiang-Zhao/Machine_Learning | ZhaoHwk10_supervised_classification_of_diabetes_using_Sklearn.ipynb | ZhaoHwk10_supervised_classification_of_diabetes_using_Sklearn.ipynb | py | 810 | 427 | en | python | code |
Zengxiang-Zhao/Machine_Learning | ZhaoHwk8_fashion_mnist_finding_out_similar_pairs.ipynb | ZhaoHwk8_fashion_mnist_finding_out_similar_pairs.ipynb | py | 6,677 | 1,126 | en | python | code |
Zengxiang-Zhao/Machine_Learning | ZhaoHwk3_polynomial_regression_by_TensorFlow.ipynb | ZhaoHwk3_polynomial_regression_by_TensorFlow.ipynb | py | 2,520 | 458 | en | python | code |
Zengxiang-Zhao/Machine_Learning | ZhaoHwk4_supervised_classification_of_graph.ipynb | ZhaoHwk4_supervised_classification_of_graph.ipynb | py | 7,303 | 925 | en | python | code |
nezar-compbio/lavaburst-binder | index.ipynb | index.ipynb | py | 2,178 | 149 | en | python | code |
vaibhavdata/Machine-Learning-Projects | BIG MARKET SALE DATESET/Bigmarket.ipynb | Bigmarket.ipynb | py | 12,067 | 4,304 | en | python | code |
prasanjit15/ML-Projects | Credarove/Credarove.ipynb | Credarove.ipynb | py | 7,228 | 1,123 | en | python | code |
ddrake/convex | Gradient Method Comparison.ipynb | Gradient Method Comparison.ipynb | py | 2,258 | 276 | en | python | code |
vaibhavdata/Machine-Learning-Projects | Medical Cost Personal Datasets/Medical Insurance prediction-Linear Regression.ipynb | Medical Insurance prediction-Linear Regression.ipynb | py | 2,031 | 1,041 | en | python | code |
vaibhavdata/Machine-Learning-Projects | SMS Spam Collection Dataset/Spam Detection with NLTK.ipynb | Spam Detection with NLTK.ipynb | py | 4,208 | 2,338 | en | python | code |
AkashJOY007/FACE_RECOGNIZTION | UserAuth/MultipleFacesCapture.ipynb | MultipleFacesCapture.ipynb | py | 969 | 86 | en | python | code |
LINSA95/ML-Projects | House price prediction.ipynb | House price prediction.ipynb | py | 2,274 | 9,639 | en | python | code |
tkocsi/employee_exit_survey | Clean And Analyze Employee Exit Surveys.ipynb | Clean And Analyze Employee Exit Surveys.ipynb | py | 11,262 | 4,375 | en | python | code |
LINSA95/ML-Projects | Spam_filtering_classification.ipynb | Spam_filtering_classification.ipynb | py | 9,502 | 1,687 | en | python | code |
aahnn/redshift-calculator | RedshiftCalculator.ipynb | RedshiftCalculator.ipynb | py | 2,177 | 270 | en | python | code |
LINSA95/ML-Projects | Chatbot .ipynb | Chatbot .ipynb | py | 7,789 | 1 | en | python | code |
LINSA95/ML-Projects | Sentiment_analysis_multiclass_classification .ipynb | Sentiment_analysis_multiclass_classification .ipynb | py | 1,856 | 330 | en | python | code |
zzhao267/zzhao267 | IS843-Final-Project/notebooks_jupyter_EDA_Zelin.ipynb | notebooks_jupyter_EDA_Zelin.ipynb | py | 21,114 | 2,021 | en | python | code |
AbinSingh/Emotion-Detection-and-Song-Suggestion-App | Classification_Model_Emotion.ipynb | Classification_Model_Emotion.ipynb | py | 5,606 | 676 | en | python | code |
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