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# # Modeling and Simulation in Python
#
# Chapter 9: P... | 12,490 |
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from requests_html import HTMLSession
from requests_nt... | 560 |
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import numpy as np... | 641 |
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# # imports
# + id="y3sYT... | 13,035 |
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###Face & Eye Detection using HAAR Cascade Classif... | 9,872 |
/part04/3.b 실습 - Files operations.ipynb | 5d1dce563928f38e255f139138b071e1ebf63be1 | [] | no_license | soogroup/python_sun | https://github.com/soogroup/python_sun | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,078 | # ---
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# # <font color='red'> *실습* </font>
# ## <font color=... | 2,473 |
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from bs4 import BeautifulSoup as bs
from urllib.re... | 18,183 |
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from PIL import Imag... | 5,657 |
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# # NLP Basics: Vectorize Text Using TF-IDF
# ### TF-... | 1,782 |
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# # Multi-Class Image... | 23,128 |
/Sk-learn Data generation.ipynb | ff16630f9abe79cc31d93454accafbe9667ed467 | [] | no_license | amitagarwal2208/MultivariateRegression | https://github.com/amitagarwal2208/MultivariateRegression | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 211,515 | # ---
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#sklearn = scikit learn
# generating data
from ma... | 2,429 |
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# ![AQ3.png](attac... | 10,083 |
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import matplotlib.pyplot as plt
imp... | 6,260 |
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#C
S = [1 if x=="W" else 0 for x in input()]
grou... | 717 |
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suppressPackageStartupMessages({
source('../libs.R')
source('../... | 21,063 |
/DEA方法/SBM模型.ipynb | a228a826c0f85d7bacd66edebb3fd4899d917ded | [
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# # SBM-ML模型
#
# 参考文献：命令控制与可交易环境政策下的碳排放强度减排效应
#
# ## 原... | 15,896 |
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# ## TMC Exercise
#
# This is the scratch paper and qu... | 9,179 |
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import tensorflow as tf
tf.executing_eagerly()
x = t... | 3,727 |
/data/diversity/scripts/zee_diversity.ipynb | 10265c65e62b7a187cf17043c9dcf579fd544c8d | [] | no_license | QuentinMahieu/Project_soccer_2 | https://github.com/QuentinMahieu/Project_soccer_2 | 1 | 0 | null | 2021-01-10T07:40:53 | 2021-01-05T08:32:48 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 64,416 | # ---
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#Server
import socket
server = socket.socket(soc... | 18,404 |
/Project/.ipynb_checkpoints/Intro to Pandas I-checkpoint.ipynb | 355c8801465fac0bf407f51c6105550102185ac8 | [] | no_license | todormanev956/love2late | https://github.com/todormanev956/love2late | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 308,429 | # ---
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# ## Plotting lat-lon and ZM
# +
### RBN: 18 ... | 20,410 |
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import ctypes
from VisionException import * #
# # De... | 3,314 |
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import numpy as np
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/ANN/DropOutANN.ipynb | d97786861ab38dc2ad8f56ad5eb5d8864844a81c | [] | no_license | Ardibid/DeepLearning | https://github.com/Ardibid/DeepLearning | 0 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 132,551 | # ---
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# # Drop out regularization
# based on: Udemy DEEP LEA... | 5,658 |
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imp... | 4,427 |
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#
#
# ---
#
#
# # Test fil... | 12,288 |
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# # Retirement In... | 26,709 |
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from matplotlib import style
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/TD_light/Sky_models.ipynb | 32fff8134de17a1dc7af33d31e54f56f1b718bb2 | [] | no_license | openalea-training/agreenium_training_2018 | https://github.com/openalea-training/agreenium_training_2018 | 2 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 32,731 | # ---
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# + [markdown] graffitiCellId="id_wzbr23x"
# ### Probl... | 10,626 |
/Scikit-learn Machine Learning Course/Ensemble of Models/ensemble_ex_01.ipynb | 98eb11270bcbf226188a52863c7a97dcdeb8ca44 | [] | no_license | sarino5/scikit-learn-course | https://github.com/sarino5/scikit-learn-course | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,631 | # # 📝 Exercise M6.01
#
# The aim of this notebook is to investigate if we can tune the hyperparameters
# of a bagging regressor and evaluate the gain obtained.
#
# We will load the California housing dataset and split it into a training and
# a testing set.
# +
from sklearn.datasets import fetch_california_housing
fr... | 3,389 |
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# ## 課間作業 1
# 請問下面這段文字有幾個字？幾個字符？幾個詞？
#
# 「這個星期日本想往後山藥師... | 4,006 |
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# # Programming Assignment: Анализ изображений
#
# Задача... | 22,235 |
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#... | 18,962 |
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# # RNN
... | 31,556 |
/crime_stats.ipynb | 3c26ec0a566df2b73a483067529b6d4f1a86d3cd | [] | no_license | perrywilson/crime-stats-viz | https://github.com/perrywilson/crime-stats-viz | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 138,635 | # ---
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# ### Preliminaries
# +
# Show all figures inline.
... | 15,474 |
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# # DiaParser
# **Direct Attentive Dependency Parser**... | 1,672 |
/Day_008_HW.ipynb | 1f20e4f8598b3c20a9d037f2693c79264d67928c | [] | no_license | william10021002/ML100Days | https://github.com/william10021002/ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 23,966 | # ---
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# # Travel agency's review generator
#
# Imp... | 9,290 |
/churn/models/operators/Notebooks/portability_model.ipynb | 4cb45e97383f44055014347241367f5c35199a0a | [] | no_license | carnaum2/use-cases | https://github.com/carnaum2/use-cases | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 59,836 | # ---
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import os
import sys
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# ## Calculate the skill of a MJO Index as a function ... | 11,291 |
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# # Transit fitting
# %run note... | 8,200 |
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# * reference:
# * basic: https://mxnet.incubator... | 6,994 |
/Retail_Scenario.ipynb | 928d7e1109ee81f0fa614ad38c439ea0e5af1097 | [] | no_license | williaml12/Surveillance-Smart-Queuing-System | https://github.com/williaml12/Surveillance-Smart-Queuing-System | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 29,644 | # ---
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# # GO Subset Analysis
#
# This is a demon... | 12,293 |
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# ## Generating Sample Data
# One very valuable tool f... | 45,174 |
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# ## Data Prep... | 3,400 |
/exploration_template.ipynb | e1f169d7bb810cb7acd4a47b4baa2147510903f3 | [] | no_license | Abhijit99dey/Communicate-Data-Findings | https://github.com/Abhijit99dey/Communicate-Data-Findings | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 928,715 | # ---
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# # Bike Sharing Analysis with Ford GoBike Data
#
# ##... | 28,748 |
/Untitled.ipynb | 28cecb7e7b6810d016061b22eb601a65b5000140 | [] | no_license | robblack007/JupyterNotebooks | https://github.com/robblack007/JupyterNotebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,848 | # ---
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# <h1... | 1,736 |
/python_for_data_science_essential_training_1/5_basic_math_and_statistics/05_02_end_basic_linear_algebra/05_02_end.ipynb | 3caf8154b06b9963545b4e2c8ea3bf791639f560 | [] | no_license | olibyte/data_science | https://github.com/olibyte/data_science | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,974 | # ---
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# # Chapter 5 - Basic Math and Statistics
# ## Segment... | 699 |
/tensorflow_2.ipynb | 334e930713d9e55b0442f0b825ee7d6f127986af | [] | no_license | asis012/tensorflow_practice | https://github.com/asis012/tensorflow_practice | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,531 | # ---
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# # Predicting Fraud Mobile Money Transactions
# ## 1... | 9,390 |
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/.ipynb_checkpoints/Housing Prices in the California-checkpoint.ipynb | 9ade99a3808f4b06451c261db754d52a1ea8705f | [] | no_license | RoshanKaloni/California-Housing-Prices | https://github.com/RoshanKaloni/California-Housing-Prices | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 139,666 | # ---
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# ## Setup
# +
import sys
assert sys.version_info >= ... | 5,369 |
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def date_fashion(you, date):
if (you < 3 or date < 3... | 2,774 |
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/deepfake_detection_c3d.ipynb | 6d48663e064ab8bc1290473d09c84531167c80d7 | [] | no_license | parth-p/deepfake_detection | https://github.com/parth-p/deepfake_detection | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,784 | # ---
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import pickle
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/notebooks/7 - Predict Workout Model.ipynb | b5aa248a1a03672c80cb111b8d1beb827dfddaf9 | [] | no_license | USPA-Technology/Data-Driven-Cycling-and-Workout-Prediction | https://github.com/USPA-Technology/Data-Driven-Cycling-and-Workout-Prediction | 0 | 0 | null | 2021-10-12T04:51:26 | 2021-10-11T17:14:23 | null | Jupyter Notebook | false | false | .py | 10,965 | # ---
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import nltk
nltk.download()
y and distance
# +
# #!p... | 5,432 |
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"""
This is a minimal contest submission file. You... | 14,988 |
/Jogos.ipynb | 23250984941e6a42f24fc53d27256650cc7728b4 | [] | no_license | anajubl/data-analysis | https://github.com/anajubl/data-analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 221,957 | # ---
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# # Independence
# $L_1 \succ L_2$ implies that $$ u(... | 7,197 |
/CS 178 Kaggle Project.ipynb | 63eef511dc4bdf79912e21363d57af26915bd494 | [] | no_license | joycele/hello-world | https://github.com/joycele/hello-world | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 84,605 | # ---
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def splitData(X, Y=None, train_fraction=0.80):
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/Machine Learning/knn.ipynb | 85ee555cc8ffb4da361b9b0ea876f2257752d6df | [] | no_license | szig97/article-popularity-machine-learning | https://github.com/szig97/article-popularity-machine-learning | 0 | 0 | null | 2021-06-24T18:58:40 | 2021-06-18T15:49:49 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 10,825 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 12,288 |
/w2.ipynb | 3789f878970e4f8e2dc0147f8b7183ff52eb2f78 | [] | no_license | jasmar2809/april_capstone | https://github.com/jasmar2809/april_capstone | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 79,511 | # ---
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# #### Week 2: Cleaning and Model Start
import pandas... | 4,650 |
/notebooks/Detect Bad Orientations.ipynb | 723a1ed2d035bac6a70f60bc688e5897c86d1f96 | [] | no_license | zztopper/lung_cancer_ds_bowl | https://github.com/zztopper/lung_cancer_ds_bowl | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,198 | # ---
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# Eksploracja danych biomedycznych, Głosowa łączno... | 33,308 |
/python/fitting_tutorials/Chi-square_fitting.ipynb | d41316466e003f7bc17a288fb915a47f7bbbc52a | [] | no_license | mattbellis/matts-work-environment | https://github.com/mattbellis/matts-work-environment | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 65,083 | # ---
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import matplotlib.pylab as plt
import numpy as np
... | 3,063 |
/Manipulasi Data.ipynb | a16f5453a33276b1ae7f71f3ecabaaf1f7458541 | [] | no_license | fiqihyusrilm/Python-Data-Science | https://github.com/fiqihyusrilm/Python-Data-Science | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 28,171 | # ---
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# # Equilibrio Labores Hogar Colombia
# ## - Gran Encu... | 28,508 |
/Week6_14062021/Day2/.ipynb_checkpoints/Task1-checkpoint.ipynb | a754f23670e6dae5bcbea1d6a74ebd4cbfa40bde | [] | no_license | AbigalChulchill/MyFinTechHomework | https://github.com/AbigalChulchill/MyFinTechHomework | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,275,509 | # ---
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# + [markdown] id="ufqxI496yOqY" colab_type="text"
# **Problem statement 1**
... | 15,244 |
/experiments-SubSetML/Active-Sensor-Placement-OneCellVersion.ipynb | 0a0176b95e397fba66e780b2ee347096f4c0a330 | [] | no_license | patel-zeel/CCAI-ICML-2021 | https://github.com/patel-zeel/CCAI-ICML-2021 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 118,134 | # ---
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# # Module 1 - Reshaping Data with Pandas
# ## Pandas ... | 27,792 |
/Modulo4/Aula07/Testes de Hipóteses.ipynb | bc2ef57a83fe3b748a777849f515df3b8c22054f | [] | no_license | ricardobgarcia/DSdegree | https://github.com/ricardobgarcia/DSdegree | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 213,797 | # ---
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# #... | 53,008 |
/Analytics/reconcile timeline data.ipynb | 67ee57475d8ef6ff83d09aa8aed29a022df376b0 | [] | no_license | megamindbrian/jupytangular | https://github.com/megamindbrian/jupytangular | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .js | 719 | // ---
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/Automating Office.ipynb | e5e8ac52ed13e48060a1f7e4ea35954180e985fb | [] | no_license | nikhilkabbin/ipython-notebooks | https://github.com/nikhilkabbin/ipython-notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 54,386 | # ---
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# ## ... | 15,127 |
/Notes_on_Problems/Divide_and_Conquer/MergeSort_Count_Inversions.ipynb | 4c2edc81b66ed5c0f7a2481bd681c07a79cc96ed | [] | no_license | dangkhoa1992/ProblemsCache | https://github.com/dangkhoa1992/ProblemsCache | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,788 | # ---
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# ## Count number of inversions in an unsorted array
#
... | 4,052 |
/CapstoneWeek3Step2.ipynb | 8bb5ba6c7421d990c2661740ccc81273fd004dc0 | [] | no_license | willowinds613/Coursera_Capstone | https://github.com/willowinds613/Coursera_Capstone | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 87,678 | # ---
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# # Impleme... | 19,185 |
/13-Udemy/03-Pandas/.ipynb_checkpoints/06-Pandas-Time-Series-Exercises-SET-ONE-Solutions-checkpoint.ipynb | 3410ff63b2072a804fda707cff9fd03284afb4f9 | [] | no_license | Tommyhappy01/Data_Science | https://github.com/Tommyhappy01/Data_Science | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 56,918 | # ---
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from PIL import Image
import numpy as np
import ma... | 10,515 |
/.ipynb_checkpoints/05_분류 평가지표 (1)-checkpoint.ipynb | c2779a031bb506d39088f4663d87b4209f970f6b | [] | no_license | leejineui/Machine_Learning | https://github.com/leejineui/Machine_Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,294,611 | # ---
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# # 모델 평가
# 모델의 성능을 평가한다. 평가결과에 따라 프로세스를 다시 반복한다.
# ![... | 15,790 |
/classes/02/notebooks/codealong-02-the-pandas-library-starter-code.ipynb | 32afb0e4629fc35e8b9f894d926df217e05ce4f9 | [] | no_license | cefan-2000/DS-SF-34 | https://github.com/cefan-2000/DS-SF-34 | 0 | 0 | null | 2017-04-18T03:04:49 | 2017-04-18T00:32:09 | null | Jupyter Notebook | false | false | .py | 555,018 | # ---
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# # DS-SF-34 | 02 | The `pandas` Library | Codealong |... | 14,885 |
/Lab note/.ipynb_checkpoints/Midterm pnote-checkpoint.ipynb | e2d8f628dcf55559ef46f5293623972168c41070 | [] | no_license | suzieep/Mathematics-for-ICE | https://github.com/suzieep/Mathematics-for-ICE | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 15,632 | # ---
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# Please Follow this Docker container installation pro... | 58,295 |
/notebooks/2.overview-of-supervised-learning/2.3.least_square_vs_nearest_neighbors/least_square_vs_nearest_neighbors_for_regression_synthesis.ipynb | 5f8bc4e171e9699a23474ff62883c84a96ab59a8 | [] | no_license | TaiChiTiger/ElemStatLearn | https://github.com/TaiChiTiger/ElemStatLearn | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 242,456 | # ---
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import pandas as pd
df=pd.read_csv('master.csv')
df.h... | 6,541 |
/Classic_TTT_RL-V2.ipynb | 2e4af41a3e570c0fe56e72ea54846ef809961442 | [] | no_license | DeepanjanSaha-INDIA/TicTacToe | https://github.com/DeepanjanSaha-INDIA/TicTacToe | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 33,609 | # ---
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# # T:1
# #### Write a prog to print twinkle twinkle... | 46,096 |
/jupyter/1week/0511_실습.ipynb | f8eb8fea6cc2809b36ec996ee2e4f94b3c1d6d5b | [] | no_license | ksg5302/aclass | https://github.com/ksg5302/aclass | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 27,868 | # ---
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from utils import *
from sympy import symbols, trigsim... | 936 |
/Cats-v-Dogs.ipynb | 7a1a9390df259a88919c73a5b28e10e63d6a5b99 | [] | no_license | AliButtar/Cats-v-Dogs | https://github.com/AliButtar/Cats-v-Dogs | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 282,831 | # ---
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import sys
import... | 6,032 |
/Part4-tree_based_models/DAT158-Part4-1-Decision_Trees.ipynb | 892711094d2ad25fa0382d7d9f5c2ecc82f350f5 | [] | no_license | xyXiangYu/DAT158ML | https://github.com/xyXiangYu/DAT158ML | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,163,978 | # ---
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# Alexander S. Lundervold, October 22nd, 2018
# # Introd... | 26,664 |
/src_code/ctc_pytorch.ipynb | af2a0589ec3878ad1d624f1c72684e7f663b0e8d | [] | no_license | wujinlonglovezhangmiao1314/CTC-loss-introduction | https://github.com/wujinlonglovezhangmiao1314/CTC-loss-introduction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,809 | # ---
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/microRNA_network_analysis_with_neo4j_v2.ipynb | 0366333a54414a42e0b42bcf8dd8af063f74bb68 | [] | no_license | mgirardot/microRNAs | https://github.com/mgirardot/microRNAs | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 777,745 | # ---
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/exercises/pitot_tube_analasys/pitot_tube_calibration_exp.ipynb | d0025cd2b75f83aeba1f37f49b9bfd6777146389 | [] | no_license | liorshig/OpenLearningPIV | https://github.com/liorshig/OpenLearningPIV | 0 | 0 | null | 2019-01-20T23:19:43 | 2019-01-20T23:18:10 | null | Jupyter Notebook | false | false | .py | 483,680 | # ---
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# # Homework 13 #
# This homework consists of two pro... | 2,663 |
/pymaceuticals.ipynb | 3ebb4a04dcefe35b9320c74feb30b96d8806b641 | [] | no_license | SybileC/matplotlib-challenge | https://github.com/SybileC/matplotlib-challenge | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 177,028 | # ---
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/_image_wise_model_evaluation.ipynb | 0bc93bed9e14bd1af5f810f4603209c550e32ff2 | [] | no_license | DeepMachineLearning/mura-team2 | https://github.com/DeepMachineLearning/mura-team2 | 3 | 3 | null | 2018-06-16T17:56:50 | 2018-06-16T17:44:08 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 197,601 | # ---
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# # Model Evaluation and Diagnostics
#
# This notebook... | 2,231 |
/model_build_evaulate_le/Model Building & Evaluation - Market Campaign(LE & WO PCA).ipynb | afd5c5ac46ba8777710307d533e19212562cbf0a | [] | no_license | akhileshtawde/Markert_campaign | https://github.com/akhileshtawde/Markert_campaign | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 534,964 | # ---
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import time
import... | 19,697 |
/old/aug_knn.ipynb | 4b3f0a98ea272627cbbe4b423b15bad59b0f395e | [] | no_license | fdesmond/seme-ts | https://github.com/fdesmond/seme-ts | 0 | 0 | null | 2021-05-02T19:30:23 | 2021-02-11T18:59:25 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 349,243 | # ---
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# <a href="https://colab... | 15,634 |
/Python For Data Science _IBM/PY0101EN-5.3_Requests_HTTP.ipynb | 9c61eb5bea76a299a98f26a45ef88d84e9672c5d | [] | no_license | ajliq007/Python_Tutorial | https://github.com/ajliq007/Python_Tutorial | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 69,082 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 246,069 |
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