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/Python/py/pyds_subfolders/ipynb/img2data.ipynb | a0759dec6d7981e65ce9b83a27454698ed2238c8 | [] | no_license | astrodoo/CodeExr | https://github.com/astrodoo/CodeExr | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 96,563 | # ---
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# # Example of using img2data routine for collecting d... | 4,294 |
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/Stack/Stack_Next_Greater_Frequency_Element.ipynb | 915e56df86279fda976d91193e8075e5f4ba4512 | [] | no_license | bilalsp/DataStructures | https://github.com/bilalsp/DataStructures | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,308 | # ---
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import matplot... | 6,174 |
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#read file
names_file = open('names.txt', en... | 10,122 |
/notebooks/basic/Tutorial/2.Building_Your_Predictor.ipynb | 11be68c04e6780ba27a6d343c3de494f4e9d6cfe | [
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] | permissive | transmutate/amazon-forecast-samples | https://github.com/transmutate/amazon-forecast-samples | 0 | 0 | null | 2020-04-03T07:32:35 | 2020-04-01T17:43:21 | null | Jupyter Notebook | false | false | .py | 9,870 | # ---
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# # SMS Spam Classifier
# [SMS Spam Collection Data S... | 1,940 |
/Sismologia/Exercícios - Pontenciais Sísmicos- Sismologia.ipynb | 6e7a5e6586ae90a91746d8cfe933bd95182b16fa | [] | no_license | dIOGOLOC/Projeto-Doutorado | https://github.com/dIOGOLOC/Projeto-Doutorado | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,364 | # ---
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# 1. [신경망] 다음 코드를 무엇을 의미하는지 이해하고 실행하여 결과를 확인하세요.(14점)
... | 18,192 |
/Python/Python-for-Algorithms--Data-Structures--and-Interviews/12 Array Sequences/Array Sequence Interview Questions/.ipynb_checkpoints/Sentence Reversal-checkpoint.ipynb | 227cd56d57809ef4cdd15cfa450c39423e99bc06 | [] | no_license | cowboyuniverse/LearningJournal | https://github.com/cowboyuniverse/LearningJournal | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,149 | # ---
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# # Sentence Reversal
#
# ## Problem
#
# Given a strin... | 11,223 |
/notes/coursera-ai-for-medicine/Course 2 - AI for Medical Prognosis/Week 1 - Diagnosing Diseases using Linear Risk Models/activities_lab/lecture_ex_03-combined_features.ipynb | 8259427b2ade836e21b0e5b96495ac5bea23994c | [] | no_license | philipsales/techinical_notes | https://github.com/philipsales/techinical_notes | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 35,136 | # ---
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# # Course 2 week 1 lecture notebook Exercise 03
#
# ... | 4,520 |
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import numpy as np
import pandas as pd
traind=pd.r... | 6,189 |
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csvDataset<-read.csv("FFCC79B01604C... | 2,184 |
/Homework/Day_030_HW.ipynb | 14712ca4a4bef3f0433ce9cc801a339a6d9d09db | [] | no_license | WalterWengTW/2nd-ML100Days | https://github.com/WalterWengTW/2nd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,045 | # ---
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from imutils.object_detection import non_max_suppr... | 3,503 |
/week4/code/CS-E5740 Complex Networks Submission 4.ipynb | d184ea0463ac7da222cbd9fc5d4fb2f7ca2636ef | [] | no_license | adamilyas/complex-networks | https://github.com/adamilyas/complex-networks | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 238,574 | # ---
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# <span style="font-size:larger;">CS-E5740 Complex Net... | 9,951 |
/NLP_tamrin_3_gholamrezadar_96405037.ipynb | 0a6a13e6d750e26bbbab96efc3637cf38462ab7f | [] | no_license | Gholamrezadar/Colab-notebooks | https://github.com/Gholamrezadar/Colab-notebooks | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 25,579 | # ---
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/resultierenden_Implemmentierung_von_annotation_example1.ipynb | ce848984ced46333cefba60167fae898a13833bd | [] | no_license | darbab2s/Data-Science-Visualisation | https://github.com/darbab2s/Data-Science-Visualisation | 1 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 837,657 | # ---
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# # Implementation von annotation_example1.txt
#
#... | 38,320 |
/Module6/NeuralNetwoks.ipynb | 10813e6dae1378e304b655a5757e8d202c2fd113 | [] | no_license | sriramsoftware/Principles-of-Machine-Learning-Python | https://github.com/sriramsoftware/Principles-of-Machine-Learning-Python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 232,701 | # ---
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# # Clas... | 22,016 |
/PruebaBavaria.ipynb | b78ee6e3908fa9eb60fa20346fa328520ec94d60 | [] | no_license | mpachonm/Bavaria_Prueba | https://github.com/mpachonm/Bavaria_Prueba | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 281,988 | # ---
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# #!pip install nltk
# #!pip install emoji
# #!pip ins... | 17,493 |
/Section 7 - Milestone Project - 1/Accepting User Input.ipynb | 748f8b413559f7a92cc78812296d998dd25420e7 | [] | no_license | Sejopc/Python3.0-Excercises | https://github.com/Sejopc/Python3.0-Excercises | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,845 | # ---
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result = input("Please enter a value: ")
result
type... | 1,167 |
/NUMPY.ipynb | 78e459b4c7553e178282c9269d05c0fd4b98a219 | [] | no_license | MudassirRaza12345/ASSIMENTS | https://github.com/MudassirRaza12345/ASSIMENTS | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 44,965 | # ---
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# # READ FILE EXAMPLE START
# #Today Class Target
# H... | 20,352 |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 8,024 |
/Pruebas Cortas/Prueba Corta 4/PruebaCorta4.ipynb | 8cca182f9ff5866e51d4f2f7c059e589ce9417be | [] | no_license | plasmallan/an-lisis_procesos_ii | https://github.com/plasmallan/an-lisis_procesos_ii | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,970 | # ---
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import numpy as np # useful for many scient... | 4,035 |
/python/007_Pandas_200107.ipynb | 93609a8c3e14c3b91b92f25a83ceea15e02d9213 | [] | no_license | leeyunji964/Yunji | https://github.com/leeyunji964/Yunji | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,180,113 | # ---
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# +
# 미분:
# 분산 : (sigma(관측치 - 평균)^2) / n-1
# 표준편차 : ro... | 17,700 |
/Multiclass_standard_approach.ipynb | 59f7211f5e0af36babdabbe40d7650576a420922 | [] | no_license | z3193631/NLP_Demo | https://github.com/z3193631/NLP_Demo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 27,588 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 5,686 |
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# ## pandas-profiling Epilepsy QLD Donor Information
... | 20,961 |
/Ch09_RiskMeasures.ipynb | d1cf9bba2882eae9d7c8d874ef10568c0f9fc417 | [
"MIT"
] | permissive | mengphilshen/FinancialTheoryMSc | https://github.com/mengphilshen/FinancialTheoryMSc | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .jl | 371,981 | # -*- coding: utf-8 -*-
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# ## Load Packages
# +
us... | 5,945 |
/자료구조_이진 검색 트리.ipynb | c5505b9d003cdcb16ce9b51b0cac48e232451563 | [] | no_license | allan02/SAMSUNG_SDS_Algorithm | https://github.com/allan02/SAMSUNG_SDS_Algorithm | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,765 | # ---
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answer = []
import sys
sys.setrecursionlimit(2000... | 831 |
/NLP_LSA_LDA_TSNE.ipynb | 6b0538447fd57f90e9db12204d7b297be1bf57a3 | [] | no_license | Amey-Mohite/NLP_assignments | https://github.com/Amey-Mohite/NLP_assignments | 7 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,097,579 | # ---
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import nltk
import pandas as pd
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#Natural Language Processing
# -
import numpy as ... | 2,761 |
/hw9/mahoto_sasakihw9.ipynb | 0b9e5abb0d839dbaa4e0296e22c8fc526081eee4 | [] | no_license | MoMoney14/CSE217A | https://github.com/MoMoney14/CSE217A | 0 | 4 | null | null | null | null | Jupyter Notebook | false | false | .py | 265,138 | # ---
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# # Homework 9: Feature Engineering
#
# Name: Mahoto S... | 19,792 |
/Naver_Headline.ipynb | ef38a8edf538787efe2f0c42ff3d96f26ffa745d | [] | no_license | minjae2271/web_crawl | https://github.com/minjae2271/web_crawl | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 15,013 | # ---
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from bs4 import BeautifulSoup as bs
with open('/U... | 7,814 |
/stock prediction 2.ipynb | 07860a8b134521c0deb56f3113c83f282bb78cdf | [] | no_license | SameerSinghDudi/Stock-Price-Prediction-using-RNN-LSTM | https://github.com/SameerSinghDudi/Stock-Price-Prediction-using-RNN-LSTM | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,094,769 | # ---
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import pandas as pd
import numpy as np
import matp... | 30,814 |
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# ### Solution: my Maze Model
# Here's one possible s... | 1,713 |
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# %matplotlib inline
import pandas as pd
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# <h1><center>Netflix TV Shows And Movie Analysis</cen... | 10,940 |
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# # 常见激活函数
# ![... | 2,454 |
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from keras.models import Sequential
from keras.lay... | 40,960 |
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# ### Problem 1
# +
import pandas as pd
import numpy... | 2,914 |
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# # Excercise 3.32
# Evan Lim
# ## Part A
# ![image.... | 8,230 |
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# # Notes on Voit et al 2019 A Black-Hole Feedback Val... | 11,174 |
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# + [markdown] slideshow={"slide_type": "slide"}
# # K... | 10,436 |
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board = Board()
board.play()
# +
board = Board()
asse... | 14,825 |
/ExposicionSVD.ipynb | fbd52778e2b229fe042a18732e791953112a86ef | [] | no_license | Juanfran23/ExposicionSVD | https://github.com/Juanfran23/ExposicionSVD | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,198 | # ---
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# # EX07: Data Wrangling
#
# You will define and use functions tha... | 16,425 |
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# # Evaluating regression lines
# ### Learning Object... | 55,414 |
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# # Load the modules to used
# +
# %matplotlib inline... | 8,668 |
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# [![Open in Binder](https://mybinder.org/badge_logo.s... | 1,912 |
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# # Chapter 8 Lists
# ### 8.1 A list is a sequence
#... | 3,607 |
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# # 2.1 - Pandas Deepdive
#
# ![pandas_deep](images/pandas_... | 117,206 |
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# <img src="https://i.imgur.com/hZgPddE.jpg" alt="IBMD... | 20,218 |
/数据结构与算法之美/.ipynb_checkpoints/Chapter.15 二分查找-checkpoint.ipynb | 5f426fa7624d0c0ba5c0b364b7c9de695d4a20fe | [] | no_license | marslwxc/read-project | https://github.com/marslwxc/read-project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,769 | # ---
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# **二分查找针对的是一个有序的数据集合，查找思想有点类似分治思想。每次都通过跟区间的中间元素对比，将带查... | 3,907 |
/수업/Python 프로그래밍 이해(2)_21.07.07/12.파이썬 파일 입출력.ipynb | b908685cd30adae44fcb9dee1fcdfa321d519a1c | [] | no_license | dch9610/Bigdata-_Intern | https://github.com/dch9610/Bigdata-_Intern | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,930 | # ---
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# First, check if the DB file for this notebook ex... | 5,001 |
/F-NODE18.ipynb | 6ddc2a2abf65fc9d886d372c79e6d4e6b11a0652 | [] | no_license | Ki8888/first-repository | https://github.com/Ki8888/first-repository | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,020 | # ---
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# # 파이썬으로 이미지파일 다루기
# ## 디지털 이미지
# * 디지털 화면은 수많은 점들로... | 4,064 |
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import math
from collections import defaultdict
d... | 1,820 |
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# LAB EVALUABLE de SPARK
# -
#import SparkSessio... | 2,946 |
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# # T... | 55,272 |
/Capstone project.ipynb | 6dcfc9bed559319cd40d3d5fb5be8bf65ae7b192 | [] | no_license | SamrachTen/Capstone-Project | https://github.com/SamrachTen/Capstone-Project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,738 | # ---
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# # Capstone Project
# ## This notebook will be ma... | 1,052 |
/homework/Day_065_HW.ipynb | 657329fd14414cb03845890a02b9d631410fc8bf | [] | no_license | jim60304ko/2nd-ML100Days | https://github.com/jim60304ko/2nd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,244 | # ---
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# # Summary
#
# The long term rainfall data (between 1... | 9,679 |
/link.ipynb | 42dd884fa7b22e030d28d242875ec537a4341e8a | [] | no_license | RuxuZhang/Meetup_Team_Project | https://github.com/RuxuZhang/Meetup_Team_Project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 32,635 | # ---
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from sklearn import datasets
from sklearn.linear_model... | 1,879 |
/Basics -Regression- Classification-Fully Connected Network_Pytorch/Feed_Forward.ipynb | c904b73242bb80d8622c0c54c565ec8df526cefc | [] | no_license | prajinkhadka/Deep-Learning-With-Tensorflow-and-Pytorch | https://github.com/prajinkhadka/Deep-Learning-With-Tensorflow-and-Pytorch | 4 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 702,127 | # ---
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import numpy as np
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/Keras_Regression IMP.ipynb | a17240fe3b8c7f3b9cc4382c55b6fe056da990f9 | [] | no_license | farooqahmed7/Keras- | https://github.com/farooqahmed7/Keras- | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,328,565 | # ---
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# # Landmanbot survey results
# library impor... | 11,602 |
/Logistic_code_scratch.ipynb | e69c42a9d5547f944597c9655fc814f05f9ba666 | [] | no_license | aditis1204/Flight_Delay_Predictions | https://github.com/aditis1204/Flight_Delay_Predictions | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,987 | # ---
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# ##### Test on synthetic data generated from the CRUS... | 29,701 |
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# <a href="https://colab... | 15,079 |
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import numpy as np
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dat... | 60,665 |
/notebooks/v1/28-ne-ne.ipynb | 76249f5b2eab78ba7db1021caf8e293118299b50 | [] | no_license | davidmcclure/mas-s61 | https://github.com/davidmcclure/mas-s61 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 43,946 | # ---
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from __future__ import print_function
i... | 5,671 |
/Split.ipynb | 30e4e0f1f9ec4fe91c0d1124d7e4913064ee439a | [] | no_license | RodriguezRuizI/Split | https://github.com/RodriguezRuizI/Split | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,121 | # ---
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import pandas as pd
correos = pd.read_csv('lista-de-co... | 494 |
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"MIT"
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# # Object oriented progr... | 813 |
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/Image_Classification_with_CNNs.ipynb | e815b4058ea3cd8556110961dda13c8d2bc024b6 | [] | no_license | abhiwalia15/Fashion-MNIST | https://github.com/abhiwalia15/Fashion-MNIST | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 35,012 | # ---
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/C3_W1_Assignment_Bird_Boxes.ipynb | 3d2045d41c0cbf4bcf687ad6add148dfbe24ebba | [] | no_license | seonokkim/Advanced-Computer-Vision-with-TensorFlow | https://github.com/seonokkim/Advanced-Computer-Vision-with-TensorFlow | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 880,547 | # ---
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# # REINFORCE
#
# ---
#
# In this notebook, we will tr... | 12,030 |
/170822.ipynb | cf20f462ecd50325dc049520c60e24d5acca02c0 | [] | no_license | LorinYu/pythonprojectone | https://github.com/LorinYu/pythonprojectone | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,103 | # ---
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# # La boucle `for`
#
# La syntaxe est de la f... | 3,737 |
/Studying Training Models.ipynb | 785f00e403991d1fc111695a45801eac42066afc | [] | no_license | Nereland/diamonds-competition | https://github.com/Nereland/diamonds-competition | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 52,498 | # ---
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import pandas as pd
import seaborn as sns
import matpl... | 3,690 |
/Training a neural network model.ipynb | 300aa9b9ed8c4093c696620bd10bb49828557e92 | [] | no_license | qingwh/Natural-language-processing-and-Text-Mining-with-Python | https://github.com/qingwh/Natural-language-processing-and-Text-Mining-with-Python | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,402 | # ---
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/notpresentation/bagsProcessing.ipynb | ede21b383af539875a184bc436a96310fa9414e3 | [] | no_license | gbarrene/social_tracking | https://github.com/gbarrene/social_tracking | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,972 | # ---
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/basic_python/Preliminaries/Chapter2/CONDITIONALS.ipynb | 7a777274a6f4142a938956bdfbc2b59444d5fc69 | [] | no_license | Nhan121/Lectures_notes-teaching-in-VN- | https://github.com/Nhan121/Lectures_notes-teaching-in-VN- | 17 | 5 | null | 2020-04-13T16:07:20 | 2020-04-13T16:06:30 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 21,128 | # ---
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from symbulate import *
# %matplotlib inline
# +
stat... | 10,839 |
/tensorflow/practice_tf.ipynb | 92b85a88224d790be822e0b543b49edab5e1a9a8 | [] | no_license | jakeoung/jkopt | https://github.com/jakeoung/jkopt | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,925 | # ---
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# # Day 2 Assignment
# Q.1) List and its default fun... | 1,783 |
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import tflearn
import tensorflow... | 4,078 |
/线性回归评价标准.ipynb | c071a757aa726c56226eaeca8173c26a7751355c | [] | no_license | setsuren/vs1 | https://github.com/setsuren/vs1 | 3 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,708 | # ---
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# # Importing Libraries
#
# This might take a few seco... | 7,092 |
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import torch
from torch.utils.data import DataLoad... | 3,103 |
/projeto_ml_0610_10h39.ipynb | b9c6914e38a00991b8b10a8de41a662ee28d44e8 | [] | no_license | FernandoHonda1/projeto_ml_draft | https://github.com/FernandoHonda1/projeto_ml_draft | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,640,909 | # ---
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/wavenet_store_info_featureEng .ipynb | fab82e58deb387bc604188cc8395e4a7bbfbab76 | [] | no_license | GatoY/g-forecast | https://github.com/GatoY/g-forecast | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 62,551 | # ---
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/Week 3 - Quantum Gates/exercises/w3_01_s.ipynb | 789947c4670bd1c1b218a34295bce3cfe436701a | [] | no_license | osbaldoisaias/Teach-Me-Quantum | https://github.com/osbaldoisaias/Teach-Me-Quantum | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 58,896 | # ---
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# # Quantum Gates in Qiskit
# Start by some typical se... | 8,778 |
/ASR/2_command_recognition/01-speech-commands-mfcc-extraction.ipynb | 551ee7d7a0f8452c287f1822a5dfeb03604d59b0 | [] | no_license | SusmoyBarman1/Jarvis | https://github.com/SusmoyBarman1/Jarvis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 45,946 | # ---
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from os import listdir
from os.path import isdir, join... | 6,406 |
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/the_data_science_process/Putting It All Together.ipynb | 111aa1effffa96817610d150b558964e006afcc3 | [] | no_license | lewi0332/udacity-data-science-nanodegree | https://github.com/lewi0332/udacity-data-science-nanodegree | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 86,733 | # ---
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# #### Putting It All Together
#
# As you might have g... | 8,757 |
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example_input = open(f->read(f, String), "example.... | 1,994 |
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# # Comparison of clustering of node embeddings with a... | 27,683 |
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from IPython.core.display import HTML
import pandas a... | 3,443 |
/ComputationNotebooks2015/Wk1_Tue/Probability distributions and random number generation.ipynb | 4fab30c7eaf72357ac8c53727c236936997190a9 | [] | no_license | janice-mccarthy/SummerCourse2016-dev | https://github.com/janice-mccarthy/SummerCourse2016-dev | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .r | 971,220 | # ---
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# Probability distributions
# ----
#
# To some extent, the foundation of... | 4,762 |
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# <center> ***前言*** </center>
# _以下代码块结合了 [剑指off... | 99,019 |
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# Copyright 2020 NVIDIA Corporation. All Rights Re... | 10,362 |
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... | 3,277 |
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#importing dependencies
import numpy as np
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# # Importing libraries
import numpy as np
import pan... | 9,343 |
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# ## Packages
import os
import pandas as pd
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# # Lab 00 : An Introduction
# ### Objectives
#
# Thi... | 18,420 |
/factors_cohesion/social_cohesion_P3.ipynb | e2a42317df913b45bacdd3a3dc7c7bcdd529bf7c | [] | no_license | Tsedtopia/final_project | https://github.com/Tsedtopia/final_project | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 108,460 | # ---
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import pandas as pd
import numpy as np
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