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# # Python Cheat Sheet
#
# The following content is ta... | 11,593 |
/Mini_Project_Clustering - Preston, Tom.ipynb | da795f0ec43b28e4303ddbb9b4f0d06398577b0e | [] | no_license | tom1presto/springboard_assignments | https://github.com/tom1presto/springboard_assignments | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 618,905 | # ---
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# # Customer Segmentation using Clustering
# ***
# Thi... | 51,166 |
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# +
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import l... | 1,192 |
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/Analyses/alex-genetics-data/.ipynb_checkpoints/Alex_data-checkpoint.ipynb | 962a604df0aa09e48593a14b3d86e4fc5f7ffb66 | [] | no_license | loftusa/General-Projects-And-Scripts | https://github.com/loftusa/General-Projects-And-Scripts | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 91,233 | # ---
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# # Messing with alex mccoy's genetics data
# +
# TODO
# -
im... | 1,253 |
/2_2012136111.ipynb | 2696219c25457ad5ad9c860e1eb8c2d5a517fea9 | [] | no_license | Wonjuny0804/18FW-Python | https://github.com/Wonjuny0804/18FW-Python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,362 | # ---
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# 문제1번.(미래의 요일 맞추기) 사용자가 오늘의 요일을 정수로 입력하는 프로그램을 작성하시오.... | 6,660 |
/programming/.ipynb_checkpoints/Uso de Variáveis-checkpoint.ipynb | 0bce7b887a22db4cb4ffadf9d52326a8e2cdb0ac | [] | no_license | ThiagoVsky/courses | https://github.com/ThiagoVsky/courses | 0 | 0 | null | 2018-03-15T13:11:04 | 2018-03-14T15:32:11 | null | Jupyter Notebook | false | false | .py | 14,974 | # ---
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# # Variáveis
# ___
# ## Introdução
# Considere a se... | 7,921 |
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# + id="HQAUhoXIUNYp" colab_type="code" outputId="c144fd79-7bf2-4e0a-80f9-c38... | 5,266,346 |
/project_1.ipynb | b7a91b94e8538fd6278334b6a13a29b551acfad6 | [
"MIT"
] | permissive | texasroh/Linear-Regression_with_interaction_diminishing_return_terms | https://github.com/texasroh/Linear-Regression_with_interaction_diminishing_return_terms | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 571,475 | # ---
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# ## Explanatory Data Analysis (EDA)
#
# Academic proj... | 17,962 |
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/Intermediate_Linear_Algebra_Assignment.ipynb | cdc63bf911818d2c2ae5993674435acd73614da3 | [] | no_license | Captmoonshot/DS-Unit-2-Sprint-1-Linear-Algebra | https://github.com/Captmoonshot/DS-Unit-2-Sprint-1-Linear-Algebra | 0 | 0 | null | 2019-01-07T13:22:27 | 2019-01-06T09:50:43 | null | Jupyter Notebook | false | false | .py | 209,020 | # ---
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# New York City has published data on student SAT scor... | 8,717 |
/SF Salaries - LSR.ipynb | ac74dec2fd993173cbb78053c19e1d2c86d92d58 | [] | no_license | Prabir1/python_files | https://github.com/Prabir1/python_files | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 13,322 | # ---
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import requests
import json
url = "https://api.gi... | 1,625 |
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# ... | 39,748 |
/Assignment1_Nevin.ipynb | f72cb4d7fa2c92421b6217d1eb99ab5bca18fbdd | [] | no_license | nevinmathews/assignment | https://github.com/nevinmathews/assignment | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,568 | # ---
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# # Introductory applied machine learning (INFR10069)
... | 28,205 |
/Lecture Materials/Day 1/PMIM102_Day_1/PMIM102_Tidyverse_4.ipynb | e6e2a65e6fb4ac2562b10547c024449f5a633d6a | [] | no_license | codingWithAndy/PMIM102 | https://github.com/codingWithAndy/PMIM102 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 26,987 | # ---
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# <td style='background-color:red; text-a... | 20,712 |
/TASK1.ipynb | 0e9dc8d79f2e318fe09bab08c2a5b2ae1834e574 | [] | no_license | apurvakadam28/TASK-1_Linear_Regression | https://github.com/apurvakadam28/TASK-1_Linear_Regression | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 51,866 | # ---
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# # Neural networks with PyTorch
#
# Deep learning net... | 17,423 |
/assignment3/assignment3.ipynb | 074967e2b369b02f275169bac1bcf8264774db09 | [] | no_license | Weijiang-Xiong/DLcourse | https://github.com/Weijiang-Xiong/DLcourse | 3 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 162,308 | # ---
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# + [markdown] id="vIv32qoYkoCO"
# ## Global Terrorism Database
# + [markdow... | 28,668 |
/R-basics/03_R_Basic _Data _Types.ipynb | ec9329490b8b803ba79877366f85db396992c339 | [] | no_license | anatulea/R-Udemy | https://github.com/anatulea/R-Udemy | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 6,027 | # -*- coding: utf-8 -*-
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# # R Data Types
# Numerics
#
# Decimal (floati... | 877 |
/Radar_plot.ipynb | 6bc2ac6bf03a2f6c5905d2afd914fc3f5e4e5521 | [] | no_license | nirmitktripathii/Football-Dataset-Analysis | https://github.com/nirmitktripathii/Football-Dataset-Analysis | 0 | 0 | null | 2020-08-08T08:10:38 | 2020-07-01T12:19:29 | null | Jupyter Notebook | false | false | .py | 2,845,075 | # ---
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# This mounts your Google Drive to the Colab VM.
f... | 18,444 |
/LoadBostonReg.ipynb | c384dc651c50b5109eaecb69142a14bab390274e | [] | no_license | Wadiprasetyo/Boston_Regression | https://github.com/Wadiprasetyo/Boston_Regression | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 61,704 | # ---
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# sklern toy datasets
import pandas as pd
import numpy... | 1,195 |
/melspectrum_Turnkey.ipynb | ad230bfb3acb20db0c93e735becb45d4b8bc87d4 | [] | no_license | sujitha-msit/CGL3 | https://github.com/sujitha-msit/CGL3 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 37,125 | # ---
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/opencv/12_colorspaces.ipynb | 3e87962fb8a24e48ec63ec9297b5f3d3b66a5cd8 | [] | no_license | GreenGhostMan/ml | https://github.com/GreenGhostMan/ml | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 153,616 | # ---
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# BGR VS RGB
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/voice/train classifier active passive proxy bert.ipynb | ba9bd0d65f2d210516fa839831bfef69389bca73 | [] | no_license | kai-pinckard/thesis | https://github.com/kai-pinckard/thesis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 950,767 | # ---
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import torch
# If there's a GPU available...
if t... | 39,732 |
/lab11-students/lab11-students/Lab 1 Load Prediction in ERCOT Markets-Students.ipynb | a01cb1a2d066491d245fe11d8c76fceef6b33432 | [] | no_license | YichenZhou113/ECE398BD | https://github.com/YichenZhou113/ECE398BD | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 554,963 | # ---
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# # Lab 1: Day-ahead load prediction for ERCOT (Texas)... | 24,645 |
/Practice on Sites/Hackerrank Practices/Python.py4e/Find a string.ipynb | cf5fa2d50e0d5e90080e822576e33402ba291db1 | [] | no_license | suryaanshah/My-Programming-Practices | https://github.com/suryaanshah/My-Programming-Practices | 0 | 0 | null | 2021-03-06T08:27:51 | 2021-02-26T03:31:44 | Python | Jupyter Notebook | false | false | .py | 3,328 | # ---
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# [Finding Sub string in a string.](https://... | 1,941 |
/AttackClassifier_train_valid_set.ipynb | b0c055a6cf9bfcc651445d6a790c2cc71a04eaa1 | [] | no_license | sweagle07/attack_classification | https://github.com/sweagle07/attack_classification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 139,916 | # ---
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import time
import queue
from pysnmp.hlapi.asyncor... | 8,361 |
/python3/1.5.ipynb | 20e40e2d796ba396a5ec87dd90f5f5320cee4e96 | [] | no_license | rygao/cryptopals | https://github.com/rygao/cryptopals | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,392 | # ---
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# # Implement repeating-key XOR
# Here is the opening ... | 1,924 |
/08_convolutional_networks/homework_cnn_old.ipynb | 42f3260bb933aa98169aaca0a676f5f849a800cb | [] | no_license | nalysann/dlschool | https://github.com/nalysann/dlschool | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 44,780 | # ---
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#... | 33,447 |
/A4/PCA_StudentVersion/pca_StudentVersion.ipynb | 2bc6ee4c23c4c605cdf59d9b011eca1c9658c0ac | [] | no_license | jsonwulff/MAD_afleveringer | https://github.com/jsonwulff/MAD_afleveringer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 90,004 | # ---
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# # Assignment: Principal Components Analysis (PCA)
#... | 5,087 |
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# примеры взяты [отсюда](https://habr.com/ru/company/w... | 2,032 |
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# <span class='h2'>C - Sugar Water</span>
# <hr>
# <... | 18,035 |
/Sao_Paolo.ipynb | 33bb545fb5009fff0a263fe2f9cf25e61b0669b8 | [] | no_license | abdurrehman98/SaoPaolo-Homicide-Rate_Analysis | https://github.com/abdurrehman98/SaoPaolo-Homicide-Rate_Analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 147,676 | # -*- coding: utf-8 -*-
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# +
#####################
### Data Analysis ###
... | 15,146 |
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# # Image features exercise
# *Complete and ... | 24,569 |
/notebooks/sdc_auto_mpg.ipynb | af21355773a9194329c6e074209225fe95e21f3f | [] | no_license | wajeehulhassanvii/computervision | https://github.com/wajeehulhassanvii/computervision | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 818,725 | # ---
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# + [markdown] tags=["p... | 27,672 |
/data-prework/1.-Python/6.-Rock–Paper–Scissors/rock-paper-scissors.ipynb | 91c9a2a527a5f9835f27ea0129ad86f1629113ef | [] | no_license | Alvaru89/data-prework | https://github.com/Alvaru89/data-prework | 0 | 0 | null | 2020-09-25T12:39:00 | 2020-09-10T23:59:24 | null | Jupyter Notebook | false | false | .py | 15,715 | # ---
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# <img src="https://bit.ly/2VnXWr2" width="100" align=... | 9,682 |
/tutorials/KDD16.ipynb | ac99c0326b3af9d7887bf6f28d98ea8b052edb4c | [
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# # KDD 16 Hands-on Tutorials
#
# safd
#
#
# - [NDArra... | 399 |
/ClassMaterial/Unit3/Class15/Class Notebook -- Messy.ipynb | 1a33bb57a4bfbd8d7888421ce509c7ef40e50949 | [] | no_license | Nhudgell/DAT-07-28 | https://github.com/Nhudgell/DAT-07-28 | 0 | 0 | null | 2020-08-11T17:16:15 | 2020-08-11T17:07:25 | null | Jupyter Notebook | false | false | .py | 61,471 | # ---
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import pandas as pd
import numpy as np
from sklearn.en... | 9,350 |
/Lecture_01/.ipynb_checkpoints/Files-checkpoint.ipynb | 19df088602661c45a88eee4a8bf1b70edee42974 | [] | no_license | Namangarg007/Python-training | https://github.com/Namangarg007/Python-training | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 210,422 | # ---
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from pathlib import Pat... | 6,857 |
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from selenium import webdriver
import requests
import ... | 2,716 |
/PY0101EN-5-2-Numpy2D (1).ipynb | 89e79ad9dfe21fcb626e37606ac026be1dbfe7f7 | [] | no_license | davemayes/Data-Science-Labs | https://github.com/davemayes/Data-Science-Labs | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 24,822 | # ---
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# %matplotlib notebook
import hyperspy.api as hs
impor... | 10,228 |
/Python programs for interview.ipynb | 0dd1ae2ab4f03793493e94a687657a279278dd0c | [] | no_license | NitinShelke/Interview-Questions | https://github.com/NitinShelke/Interview-Questions | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,893 | # ---
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# # Batch Normalization
# One way to make deep network... | 15,662 |
/Analyze_Results.ipynb | e0115ff0df20ee36912a59a6ba40a04c5b09e3fd | [] | no_license | yuvaljacoby/seinfeld_laugh_prediction | https://github.com/yuvaljacoby/seinfeld_laugh_prediction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 309,253 | # ---
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# # Analyzing the Results
# First thing is of course t... | 6,700 |
/Untitled1.ipynb | 7061bc5df74b28df39e2d9e1662d7832d15b1290 | [] | no_license | Rohanbagulwar/car_price_predictor | https://github.com/Rohanbagulwar/car_price_predictor | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 176,394 | # ---
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# !pip install numpy
# !pip install sklearn
# !pip ins... | 4,916 |
/3.3-work-on-xml/sliderule_dsi_xml_exercise.ipynb | 519b23f7589a9ef4be2b000d23c08308585dc1c6 | [] | no_license | oldrabbitramen/datascienceintensive | https://github.com/oldrabbitramen/datascienceintensive | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,271 | # ---
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# # 简易NN实现性别预测
# ##### Copyright © 2020 by Wangchuwen... | 7,334 |
/Plus Minus Hacker Rank.ipynb | df5bb6333aa58a7f8e38adbf93ada3be9967f333 | [] | no_license | vishal254/LockCodedown-5 | https://github.com/vishal254/LockCodedown-5 | 0 | 1 | null | 2021-01-20T15:02:17 | 2020-10-03T17:00:36 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 1,450 | # ---
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# # Customer Churn Prediction with XGBoost
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import numpy as np
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nl=[]
for x in range(2000,3200):
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/Wisconsin Breast cancer dataset.ipynb | 9f2836660133f26d21a35d292547eefd8fcfa5c9 | [] | no_license | ckkchinar/Classification-Problems | https://github.com/ckkchinar/Classification-Problems | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 151,493 | # ---
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# # Case-Study 1 (Decision Tree,Randome Forest,KNN,NB)... | 9,061 |
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# + [markdown] id="view-in-github" colab_type="text"
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/pytorch_practice.ipynb | d6b69e6ac79f10e37ea3759e6eccb473ebed9275 | [] | no_license | OlgaBelitskaya/colab_notebooks | https://github.com/OlgaBelitskaya/colab_notebooks | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 141,136 | # ---
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# ### Note
# * In... | 17,512 |
/Hamlet.ipynb | df2ebbfcac50eda363ed10482946bea289c5920b | [] | no_license | desertnaut/LIterature_Networks | https://github.com/desertnaut/LIterature_Networks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 289,111 | # ---
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# %matplotlib inline
#
# # Path with L1- Logistic Reg... | 7,619 |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2,792 |
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import oletools.thirdparty.olefile as olefile
from ppr... | 4,824 |
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#importing librarier
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# ### Hello World TensorFlow
# +
import tensorflow.co... | 1,537 |
/Lab 7/Lab 7.ipynb | 5282ddc07528431fd4e48a1e0f6bc3a655d85695 | [] | no_license | connortou/BioE131 | https://github.com/connortou/BioE131 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,895 | # ---
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# # Connor Tou | BioE131 Lab 7
import numpy as np
imp... | 31,984 |
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import glob
import... | 2,309 |
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# **This notebook is an exercise in the [Feature Engin... | 8,483 |
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# %autoreload 2
main_path ... | 9,025 |
/Python Assignment/Python Programming Basic Assignment/Programming Assingment_19.ipynb | ed0b70b09f443fc26f2e42fd36933901ee2bc71d | [] | no_license | calkikhunt/iNeuron_ai | https://github.com/calkikhunt/iNeuron_ai | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,769 | # ---
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#Q1. Create a function that takes a string and returns... | 1,565 |
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# ## NumPy
#
# ### Arrays NumPy - Objetos multidimensi... | 8,155 |
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# -*- coding: utf-8 -*-
import numpy as np
import... | 6,099 |
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# # Import Libraries
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# ## Temp convertur... | 1,089 |
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import pandas as pd
import numpy as np
import requests... | 8,709 |
/sara/Image_normalization.ipynb | 4206756f183134d937897bef98d0bf6724ab0f7d | [] | no_license | dvp-tran/skin_cancer | https://github.com/dvp-tran/skin_cancer | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 343,150 | # ---
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from PIL import Image
from PIL import ImageStat
im... | 32,768 |
/deepLizard.ipynb | 9ae37b34108bbca1d883e65dd041c4f7335ac0b1 | [] | no_license | codushlaine/ml | https://github.com/codushlaine/ml | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 54,835 | # ---
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# + [markdown] id="f8NMnwZ6u1Iy"
# ## 유튜브 랭킹 시각화
# + id="5vZsc3j3uwru"
# !ap... | 12,108 |
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import pandas as pd
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/Intro2MachineLearning/2_FirstMachineLearningModel.ipynb | 377616c9f1c010220d6772d80126fd41009599c4 | [] | no_license | tubademir23/globalaihub.kaggle-master | https://github.com/tubademir23/globalaihub.kaggle-master | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,820 | # ---
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# **[Introduction to Machine Learning Home Page](https... | 6,402 |
/notebooks/sidekick-varying-hyperparameters.ipynb | ead5bccf7541b9bd2df3803d5b620bd41eee9fb9 | [] | no_license | victorkristof/sidekick-prediction | https://github.com/victorkristof/sidekick-prediction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 183,296 | # ---
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# # Sidekick - Varying hyperparameters
# We try in thi... | 2,340 |
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# # This notebook is adapted from:
# http... | 9,350 |
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#
# # <div> <center><b style="color:OrangeRed"> Flig... | 7,327 |
/homework6.ipynb | d1131d14c5213edea26b833c6ad968a2d4f92408 | [] | no_license | gugurt/ds4ph-bme | https://github.com/gugurt/ds4ph-bme | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 91,328 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 1,923 |
/homework/Day_014_correlation_example_Ans.ipynb | ada2e56043b6ef1a6e7fb18c0d316cb07fa7505d | [] | no_license | herocwhsu/100Day-ML-Marathon- | https://github.com/herocwhsu/100Day-ML-Marathon- | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 68,834 | # ---
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# # [作業目標]
# - 以下程式碼將示範在 python 如何利用 numpy 計算出兩組數據之間的相... | 13,261 |
/B/羊不能识别组群.ipynb | c73e5ccde4d08b7e0f2a18ac56494d058909cbd2 | [] | no_license | SYaoJun/Shepherd | https://github.com/SYaoJun/Shepherd | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,811 | # ---
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# %matplotlib inline
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/97/97_inference_sum.ipynb | b560f2cec8ad0e6b136ce0a4a8b2be18662c428c | [] | no_license | root4kaido/Rainforest-Connection | https://github.com/root4kaido/Rainforest-Connection | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 28,185 | # ---
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# !pip install torch==1.6.0
# !pip install opencv-pyth... | 7,534 |
/DoublyLinkedLists.ipynb | 1881b4ebd4d1b30d6942fd7c5b4f0c7f80afa0f6 | [
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] | permissive | rambasnet/CS2Notebooks | https://github.com/rambasnet/CS2Notebooks | 4 | 0 | null | null | null | null | Jupyter Notebook | false | false | .cpp | 19,333 | // ---
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// # Doubly Linked Lists
// - https... | 10,656 |
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# **Assignment 2: Evaluating Regression Models**
#
# G... | 7,168 |
/Trabalho 2/src/Filtro passa-alta Butterworth.ipynb | 5b613c7a7f9c35f661b43080b42fbd9db7750f22 | [] | no_license | joaovicmendes/pdi-trabalho | https://github.com/joaovicmendes/pdi-trabalho | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 936,644 | # ---
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# # Filtro passa-alta Butterworth
#
# Relembrando a fó... | 3,211 |
/Untitled.ipynb | 779cb750722717f41a6bd0ac4aae15950f67b455 | [] | no_license | suhyuuk/Pokemon-ice-cave-puzzle-generator | https://github.com/suhyuuk/Pokemon-ice-cave-puzzle-generator | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 24,292 | # ---
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# Libraries
import numpy as np
import matplotlib.p... | 4,432 |
/Featureselection1.ipynb | 6436b45c27083bb89cf6a9ae3aa1bd3bcc1ff9f1 | [] | no_license | gabibu/unsupervisedLearning | https://github.com/gabibu/unsupervisedLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 247,907 | # ---
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# # Secret-key or symmetric cryptography
#
# ## 1 DES ... | 12,425 |
/single_word.ipynb | 49d76c66d855b343c435ed6f9815909c09b6833b | [] | no_license | rammohanbethi/word-cloud | https://github.com/rammohanbethi/word-cloud | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 69,009 | # ---
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#
# Single Word
# ===========
#
... | 7,900 |
/GTFS Melbourne Metro Train Network.ipynb | 47bb89e8884cc1d106d8f09bdb7ec7bb4b29e387 | [] | no_license | joshuawebb1988/gtfs | https://github.com/joshuawebb1988/gtfs | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 313,494 | # ---
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import numpy as np
import pandas as pd
import matp... | 18,404 |
/SqlLite Database.ipynb | 117e6b62fc408e3a45a2d01a6b4a43709b0339fe | [] | no_license | mohamedsamir3/SqlLite-Database | https://github.com/mohamedsamir3/SqlLite-Database | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 144,808 | # ---
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# # Chapter 5 오차역전파법
# 수치 미분은 시간이 오래 걸리는 단점이 있다. 오차역전... | 46,035 |
/main.ipynb | b95b136a68a72bbab03b557bc8ff7ef2af79bf85 | [] | no_license | yanfengliu/CSCE990 | https://github.com/yanfengliu/CSCE990 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 228,228 | # ---
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# # Recursion
# ---
#
# **Recursion:** a method to sol... | 7,345 |
/docs/notebooks/AnomalousSequence.ipynb | 468315c2a478ee72f15078321bb39fc33463a032 | [
"MIT",
"LicenseRef-scancode-generic-cla"
] | permissive | dg2kjb/msticpy | https://github.com/dg2kjb/msticpy | 0 | 1 | MIT | 2020-08-06T17:56:53 | 2020-08-06T14:56:34 | null | Jupyter Notebook | false | false | .py | 2,283,533 | # ---
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# # Table of Contents
# * [msticpy - anomalous_sequenc... | 52,768 |
/Probelm Set 2/Problem Set 2.ipynb | caee3c381ac0883a7d99644af32709feb11d4f0d | [] | no_license | Mgallese97/Data-Science-in-Practice | https://github.com/Mgallese97/Data-Science-in-Practice | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 53,738 | # ---
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# # <center style="font-size:140%;"> Report - Problem ... | 9,881 |
/how-to-use-azureml/training-with-deep-learning/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb | 1f8ad67e13f8d70559992f9c0033979baeece57c | [
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] | permissive | nemasobhani/MachineLearningNotebooks | https://github.com/nemasobhani/MachineLearningNotebooks | 0 | 0 | MIT | 2020-02-06T22:37:35 | 2020-02-05T19:34:53 | null | Jupyter Notebook | false | false | .py | 46,962 | # ---
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# Copyright (c) Microsoft Corporation. All rights r... | 30,158 |
/notebooks/multiobjective_optermisation.ipynb | bfe72d19a49ac8ea0d7b8a83eba384f5cea8048c | [] | no_license | a2i2/threshy | https://github.com/a2i2/threshy | 0 | 0 | null | 2023-05-22T21:47:50 | 2020-10-21T02:18:48 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 55,188 | # ---
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import pandas as pd
import numpy as np
import a... | 14,303 |
/nn_labeler/scripts/.ipynb_checkpoints/preprocess-checkpoint.ipynb | 5632f6a971b336485173b3e0867550fcc39b735b | [] | no_license | hsaeidi1363/cnn_breath_tracker | https://github.com/hsaeidi1363/cnn_breath_tracker | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,838 | # ---
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import tensorflow as tf
print(tf.__version__)
prin... | 12,452 |
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