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/MLudemy/AdvancedSupervision.ipynb | ddd47391e8bd9340945eab8b4b971c369684ab0f | [] | no_license | phaneendhra-ch/Machine_Learning_ZTM | https://github.com/phaneendhra-ch/Machine_Learning_ZTM | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 90,392 | # ---
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# + [markdown] id="XLXIojCUxnYp"
# # Qiskit Tutorialを触る
# Ref. -> [Tutorial](... | 8,736 |
/Feature Extraction/Audio_Feature_Extraction.ipynb | 6af56d9437db59ae8d7bdb614d8f293eab0c2f5d | [] | no_license | pushpanshu0501/Speech-Emotion-Recognition--1 | https://github.com/pushpanshu0501/Speech-Emotion-Recognition--1 | 3 | 5 | null | 2021-07-25T19:03:22 | 2021-07-23T08:58:51 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 1,320,163 | # ---
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# # Pipeline
#
# Data ... | 9,604 |
/week3/week3_task2_fine_tuning_clean.ipynb | 86c258591c0e5601cec01d6ba348f1c1eac13fac | [] | no_license | DieMyst/intro-to-dl | https://github.com/DieMyst/intro-to-dl | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,162 | # ---
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/0. Preparations/0. Preparations.ipynb | 3e6796b1a6f13da5cc5aa5d787113e098da4de56 | [] | no_license | mrayy/PracticalML | https://github.com/mrayy/PracticalML | 5 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,151 | # ---
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# # Session 0: PML Tools Overview
#
# This manual cont... | 3,484 |
/05_Pandas_on_my_own/.ipynb_checkpoints/01_Pandas_Introducing_The_Dataset-checkpoint.ipynb | f6a81257205b74160c8efec3bcba6ba6868f26a6 | [] | no_license | emunozlorenzo/MasterDataScience | https://github.com/emunozlorenzo/MasterDataScience | 3 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,753 | # ---
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# # Pandas For Data Science: Introducing The Datasets
... | 1,398 |
/Array practice 1.ipynb | fde065553d26c9ac25e0d369e5e641f88ff34a09 | [] | no_license | Manish-Kumar-9782/Data-Structures-in-python | https://github.com/Manish-Kumar-9782/Data-Structures-in-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,998 | # ---
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list_of_words = ["Hello", "there.", "How", "are", "you... | 432 |
/devel_notebooks/igraph_test_GN_and_N_fast.ipynb | 82f3f2323eaf1ca3a38134e5d7505c34d693386a | [] | no_license | riblidezso/graph_clust_alg_comparison | https://github.com/riblidezso/graph_clust_alg_comparison | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 48,529 | # ---
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# **[Machine Learning Course Home Page](https://www.ka... | 3,178 |
/PythonML_Practice.ipynb | 5921c345e28f3b0ee97af843e3fae1a4b5bfeb6d | [] | no_license | vijendranp/Python--Computational-Approach | https://github.com/vijendranp/Python--Computational-Approach | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 974 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 570 |
/src/Henry/Gmail Analysis/Chi-squared, time prediction and linear regression/.ipynb_checkpoints/SARIMA-checkpoint.ipynb | 7532c60ce2c7250301dcd12b70028c32daa936dd | [] | no_license | UNCG-CSE/G_Suite_Metrics | https://github.com/UNCG-CSE/G_Suite_Metrics | 0 | 4 | null | 2019-12-12T21:47:23 | 2019-12-12T21:16:54 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 2,673,838 | # ---
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# ## Played with SARIMA, pmdarima, and fb prophet libr... | 5,260 |
/dashboard.ipynb | 1e7374e7b23ef2d6c8314b800850b88d6ce446cf | [] | no_license | kielwheat/SF_realestate_analysis_PyViz | https://github.com/kielwheat/SF_realestate_analysis_PyViz | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,219,403 | # ---
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# Can I make one page-sized plot that contains all the... | 3,586 |
/Open CV Information.ipynb | d5c83ddd5bc6529f34f7acb09811e7c34faf1159 | [] | no_license | RoodraKanwar/OpenCV | https://github.com/RoodraKanwar/OpenCV | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 23,310 | # ---
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import cv2
#
# # READS IMAGE
# +
img = cv2.imread('p... | 13,030 |
/Notebooks/EnisBerk/TransferLearningVggish.ipynb | acc646e571d5dff9cf5538d299cf250f291ad9f8 | [] | no_license | Yunhua468/Audio-Visual-Emotion-and-Sentiment-Research | https://github.com/Yunhua468/Audio-Visual-Emotion-and-Sentiment-Research | 3 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,524 | # ---
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# + id="DYd3hHcU3HZw" colab_type="code" colab={}
# !wget https://zenodo.org/a... | 3,834 |
/hw_webinar_1.ipynb | e44b0dfea3baf7d93085610edfe9f2b67b586889 | [] | no_license | olhaexe/RecSys | https://github.com/olhaexe/RecSys | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,785 | # ---
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# # Домашнее задание - 1
# Заполните пропуски #your_c... | 2,719 |
/Aula7_Analise_Exploratoria.ipynb | 68d7293545fa546ad5103df4517b5d14a776e1e0 | [] | no_license | clerisson-san/Analise_de_dados_com_Python_e_Pandas_by_DIO | https://github.com/clerisson-san/Analise_de_dados_com_Python_e_Pandas_by_DIO | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 162,232 | # ---
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# <a href="https://colab... | 7,761 |
/start.ipynb | dbda13c6603f1d4b3e763c30dd573484cacb869c | [] | no_license | BetterWill/Test_01 | https://github.com/BetterWill/Test_01 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 55,641 | # ---
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# + active=""
# select aa.asset_seriesName_showTitle_c... | 3,568 |
/Playground/MNIST_random_classification.ipynb | f79331bfc086d4d892fcd10f7b43f0722b226f43 | [] | no_license | Black3rror/AI | https://github.com/Black3rror/AI | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 39,465 | # ---
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#... | 30,013 |
/book_code/ch4.ipynb | 8ba4ffaa971fb0eb650776233f15dc0614a5c6b6 | [] | no_license | jackmoody11/statistical-rethinking | https://github.com/jackmoody11/statistical-rethinking | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 197,676 | # ---
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# Book Code 4.5
im... | 2,203 |
/chapter3/ch3.ipynb | d3e2500390fdacd6b72768475141899c6ac631ad | [] | no_license | h-asano/nlp100knock | https://github.com/h-asano/nlp100knock | 1 | 0 | null | 2017-01-29T06:35:14 | 2017-01-29T06:28:02 | null | Jupyter Notebook | false | false | .py | 33,645 | # ---
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# # 第3章: 正規表現
# ---
# Wikipediaの記事を以下のフォーマットで書... | 9,592 |
/08-homework/03 - School Board Minutes.ipynb | cb165838eea25989f82ff5a76d288a89a45a848b | [] | no_license | AmyOKruk/foundations_homework | https://github.com/AmyOKruk/foundations_homework | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,518 | # ---
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# # School Board Minutes
#
# Scrape all of the school ... | 2,195 |
/Old_Photo_restore.ipynb | 8a8f6b411b45c27ec28e54b893b786c372072c6d | [
"Apache-2.0"
] | permissive | abheeshtroy/old-photo-restore-simplified | https://github.com/abheeshtroy/old-photo-restore-simplified | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 578,068 | # ---
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# <a href="https://colab... | 11,606 |
/Learn_Python/Udemy_Curso_Basico/dev_09_zejercicio_01.ipynb | bf3c23c377fb665d9fdb126e6766930fd1188656 | [] | no_license | apizarroe/Personal_Code | https://github.com/apizarroe/Personal_Code | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,132 | # ---
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##################Ejercicio
#Crear un modulo "modulo1.py"
#Añadir la clase "Coche" creada en un ejercicio anterior al "modulo1"
#Añadir la... | 2,868 |
/Ekstraksi Fitur 2/.ipynb_checkpoints/Extraction Feature WIth Morphological-checkpoint.ipynb | 65eb3dc46aaa1d095b0ee10e67ab827b63e2a6c9 | [] | no_license | ragilhadi/pkl-textdetection-bpnn | https://github.com/ragilhadi/pkl-textdetection-bpnn | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,528,443 | # ---
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import numpy as np
import cv2 as cv
import matplotlib.... | 5,751 |
/homework/Day_002_HW.ipynb | ce66bd7d434cadb246b5a9f30c04ddc7a3dea89a | [] | no_license | wtchenzf/2nd-ML100Days | https://github.com/wtchenzf/2nd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,894 | # ---
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# ## 練習時間
# 資料的操作有很多，接下來的馬拉松中我們會介紹常被使用到的操作，參加者不妨先自行想像一... | 1,010 |
/code/jl-files/STARAS-master/Networks/Sensibility_NetDensity/runs/20171112_215319_Sim_Watts_Density/Hex_Stack.ipynb | 5a0f640f52b50df14f7528c8211131c18ccdfdbf | [] | no_license | ccg-esb/MSW3D | https://github.com/ccg-esb/MSW3D | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 434,745 | # ---
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# ## Hexbin and Stack Plotter
CC = 0.2
# We call the... | 10,955 |
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