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/havedata.ipynb | 290e36cf4dc9df367ff240b0f1bfc8ed331a640c | [] | no_license | choi97201/DartFss | https://github.com/choi97201/DartFss | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 29,404 | # ---
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# # ํ์ ๋ณด์ ์ข
๋ชฉ ๋ฐ์ดํฐ
#
# ### ๊ณ ์์ธ๋ ์์ฒญ์ฌํญ: ์ด์ฉํ์์ ์์ํ๋ ๋ณด์ ์ข
๋ชฉ ์ด์ธ์ ๋ค๋ฅธ ์ข
๋ชฉ... | 18,817 |
/predictCustomerChurn/Notebooks/TelcoChurn_DSX_Cloud.ipynb | 834b5791a78552580defebf7f84946e8dccb9b8d | [] | no_license | seby408/DSX-DemoCenter | https://github.com/seby408/DSX-DemoCenter | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 204,178 | # ---
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# ## Predicting Customer Churn in Telco
# ... | 15,100 |
/Part 3 - A slightly More Complex Agent Based Model.ipynb | 8fb592d9ef70c17057b0363fd1fbd31082e93826 | [] | no_license | vinodratre/Tutorial_Agent_Based_Models | https://github.com/vinodratre/Tutorial_Agent_Based_Models | 0 | 1 | null | 2019-07-29T04:48:51 | 2019-07-26T20:01:14 | null | Jupyter Notebook | false | false | .py | 130,334 | # ---
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# ## Machine learning with scikit-learn
# *The follow... | 30,983 |
/Gaussian Mixture Models.ipynb | fa69cdfb9c160557c80c87c4eaa18ae61ab4e291 | [] | no_license | aburzinski/ML_From_Scratch | https://github.com/aburzinski/ML_From_Scratch | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 75,821 | # ---
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# Importing the necessary packages
import pandas as pd... | 7,151 |
/.ipynb_checkpoints/Day 8 part 1 -checkpoint.ipynb | e2012b370d7b0590300a29b7ac833dc5ef174561 | [] | no_license | nischalstha9/pythonFundamentals | https://github.com/nischalstha9/pythonFundamentals | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,568 | # ---
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a=[1,2,3,4]
b=[5,6,7,8]
c=[]
for i in range(len(a)):
... | 38,010 |
/.ipynb_checkpoints/Fashion_Recognization-checkpoint.ipynb | 3dc380a48654b487db0c0c5890b385bbb480b5ec | [] | no_license | chrehman/Mnist_Dataset_Models | https://github.com/chrehman/Mnist_Dataset_Models | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,830 | # ---
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# + id="0O88LX8mS6tq"
# Importing Libraries
import tensorflow as tf
import pa... | 10,060 |
/Neural_Network_Project.ipynb | 937c712784e6bef5c7739f0235a295d95cf22a7c | [] | no_license | msrraju87/NeuralNet_Electronic_Telecom_VHSN | https://github.com/msrraju87/NeuralNet_Electronic_Telecom_VHSN | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,744,409 | # ---
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# + [markdown] id="lyzPVoSff9b_"
# # Electronics and T... | 30,711 |
/homework/Day_044_HW.ipynb | 1bd24d31a74d2c2cc853507532ea78a3cd86c89b | [] | no_license | kimshih/2nd-ML100Days | https://github.com/kimshih/2nd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 34,270 | # ---
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# ## [H้้ป]
# ็ขบไฟไฝ ไบ่งฃ้จๆฉๆฃฎๆๆจกๅไธญๆฏๅ่ถ
ๅๆธ็ๆ็พฉ๏ผไธฆ่งๅฏ่ชฟๆด่ถ
ๅๆธๅฐ็ตๆ็ๅฝฑ้ฟ
# ##... | 2,353 |
/openCVๅ
ฅ้จ/.ipynb_checkpoints/Untitled-checkpoint.ipynb | ef07fdb7a5f8ed63de8ac9ff67355f776ffd6c87 | [] | no_license | yaolinxia/ComputerView | https://github.com/yaolinxia/ComputerView | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,297 | # ---
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from PIL import Image, ImageFont, ImageDraw
import num... | 5,249 |
/Victor.ipynb | 2f0a9b410c4ca175bc138c2296743d586bcc78c5 | [] | no_license | sostrikov/juputer | https://github.com/sostrikov/juputer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 479,481 | # ---
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# !pip install pandas
# !pip install sklearn
# !pip in... | 15,314 |
/open-metadata-resources/open-metadata-labs/administration-labs/understanding-cohorts.ipynb | 5e2b15275f5ec74fdaa514c3147bafdf5d03a4f6 | [
"CC-BY-4.0",
"Apache-2.0"
] | permissive | hsjung6/egeria | https://github.com/hsjung6/egeria | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,988 | # ---
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# .ipynb | c0338a098a6af0a627a3455ae66bb84f5b719bc9 | [] | no_license | Kimo-Gandall101/LIWC-General-Assembly | https://github.com/Kimo-Gandall101/LIWC-General-Assembly | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 59,832 | # ---
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import xml.etree.ElementTree as ET
XML_PATH = "../dat... | 9,379 |
/Python_assignments/Exo36_VowelOrConsonant.ipynb | b3e7794b20531358fa7024de0d4fece62f0769da | [] | no_license | ModoukpeA/FemCodeAfrica_DS_Training | https://github.com/ModoukpeA/FemCodeAfrica_DS_Training | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,533 | # ---
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vowels=["a","e","i","o","u"]
consonants=["b","c","d","... | 695 |
/11_segment_tree.ipynb | d22cbcf9eb04072e7191225ae2caaf5b216de79a | [] | no_license | z-sector/algorithms-course | https://github.com/z-sector/algorithms-course | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,274 | # ---
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# # ะ ะตัะตะฝะธะต ะทะฐะดะฐัะธ "ะกัะผะผะฐ ะฝะฐ ะพััะตะทะบะต"
import random
i... | 3,416 |
/10_3_xor_tensorflow_ipynb์_์ฌ๋ณธ.ipynb | b5581201feb84777d35897079cb193a99062bb85 | [] | no_license | ealsk/2020_AI | https://github.com/ealsk/2020_AI | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,646 | # ---
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# ---
# What is Pandas?
# ---
#
# From https://pandas.pydata... | 22,627 |
/_misc/geron_2ed/ch13_data_api/data_api_intro.ipynb | 399a5e197ee55225cc2c89111c42b6406b703fcb | [] | no_license | ilyarudyak/cs230_project_keras | https://github.com/ilyarudyak/cs230_project_keras | 1 | 0 | null | 2022-11-22T01:40:22 | 2020-01-15T13:42:32 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 14,047 | # ---
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# # CLX Cheat Sheets sample code
#
# (c) 2020 NVIDIA, ... | 14,416 |
/MN-CuadernoNotas-Introducciรณn.ipynb | 97155bed498d776cea715ea6629039d5c748db5a | [] | no_license | facomprivate/MetodosNumericos | https://github.com/facomprivate/MetodosNumericos | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,599 | # ---
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# # dataset plot with zoom insets
import sys
sys.path... | 13,537 |
/MDP/policy and value iteration analysis.ipynb | 39c79a043d9fcfa52d1c36988a5c01c4a210d0c6 | [] | no_license | alofgreen/ml7641 | https://github.com/alofgreen/ml7641 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 97,843 | # ---
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import pandas as pd
import matplotl... | 20,306 |
/SecmentClusterAssignment_p1.ipynb | ff7e861596629d9c5328b34eb6ec21cac73afdc8 | [] | no_license | glazerm/Clustering | https://github.com/glazerm/Clustering | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 24,032 | # ---
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# # Bankrupt data
#
#
# Importing the libraries
from ... | 8,007 |
/Daniel/Outlier Analysis/OA_Endometrial_Proteomics.ipynb | 492651c43bd4fa4a851742f44158ea98f819e78c | [] | no_license | thomashmolina/WhenMutationsMatter | https://github.com/thomashmolina/WhenMutationsMatter | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 469,459 | # ---
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# + [markdown] id="VRtcA8J29L7D"
# Kimlik doฤrulama
# + colab={"base_uri": "... | 13,350 |
/w6_lda.ipynb | f0b4afcab37cddf6e1e2bb43ee2d53782696fbe7 | [] | no_license | neda0/uw_biol359_spr21 | https://github.com/neda0/uw_biol359_spr21 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 20,962 | # ---
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# + [markdown] pycharm={}
# # Submitting and Managing ... | 14,448 |
/.ipynb_checkpoints/adult_dataset_analysis-checkpoint.ipynb | 6742e31047c644765cb8d9b5d16ac66c67621edf | [] | no_license | TheTuringExperience/adult-dataset-exploration | https://github.com/TheTuringExperience/adult-dataset-exploration | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 269,075 | # ---
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import pandas as pd
import mat... | 8,319 |
/ML_11012021/ex2.ipynb | 8c912bc36c4f8cbe70cafbe26367836f7ee8496c | [] | no_license | NhutNguyen236/Intro-to-Machine-learning | https://github.com/NhutNguyen236/Intro-to-Machine-learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,557 | # ---
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# + id="DS60dQxoQEDy"
import numpy as np
import pandas
from google.colab imp... | 19,261 |
/2021-1/Linge-Ch4/Linge-Ch4.3.3.ipynb | 7214208ae41e5d4218269306fda797683c5c1585 | [] | no_license | yhkimlab/class-YHKlab-arXiv | https://github.com/yhkimlab/class-YHKlab-arXiv | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 32,482 | # ---
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# %matplotlib inline
from matplotlib import pyplot as ... | 4,704 |
/notebook/von Mises distribution.ipynb | bdc03e4897491e026b015bdcd77f69932438b694 | [] | no_license | zizi0429/machine_learning | https://github.com/zizi0429/machine_learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 107,050 | # ---
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# # ๋ฌธ์ ๋จ์ RNN (char RNN)
# ๋ชจ๋ ์์ ์ ์
๋ ฅ์ ๋ํด์ ์ถ๋ ฅํ๋ many-to-many RNN... | 10,303 |
/Basic Python Programs for Practice .ipynb | 4c6e4f4b8c45465017ce7a6839861bc612e4a719 | [] | no_license | profthyagu/Mathematical-Fundamentals-for-Artificial-Intelligence | https://github.com/profthyagu/Mathematical-Fundamentals-for-Artificial-Intelligence | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,214 | # ---
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# # Basic Python Programs for Practice
# ### 1. Writ... | 3,244 |
/Loan Underwriting UI/loanUnderwritingUI.ipynb | 5ca6cfa3b81d73a859eb35ae2c0b36b1323df9a7 | [] | no_license | Pratik-Bhujade/Loan-underwriting | https://github.com/Pratik-Bhujade/Loan-underwriting | 3 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,747 | # ---
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# +
import pandas as pd
import numpy as np
from sklear... | 3,396 |
/qiancheng_spider/1_Crawler_list_page.ipynb | db03ba6e5fe244026ed9c8e0fa18d46941c4e39a | [] | no_license | lhang662543608/python_crawler | https://github.com/lhang662543608/python_crawler | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 64,198 | # ---
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import requests
from lxml import etree
# ่ฎพ็ฝฎ่ฏทๆฑๅคด๏ผ้ฒๆญขๅ็ฌ
h... | 4,174 |
/Cousera/DeepLearning.AI TensorFlow Developer Professional Certificate/C2-CNN/w4/Course_2_Part_8_Lesson_2_Notebook_(RockPaperScissors).ipynb | 9c3e0ff27fb94e0d8401d25b9a2ae5fce6a15b59 | [] | no_license | nghiabeooo/tfdevcert | https://github.com/nghiabeooo/tfdevcert | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,451 | # ---
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# # Python 2 examples for porting to Python 3
# This n... | 6,878 |
/1. ่ฐๆดgammaๅฏนๆฏ.ipynb | 3db4b25c0ab7c2739781ae6f04d1f744b7a2754d | [] | no_license | dichangyan/MG_Qlearning | https://github.com/dichangyan/MG_Qlearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 596,920 | # ---
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# ## ๅฎ้ช1๏ผ่ฐๆดgamma๏ผ่งๅฏ
#
# ### ็ฏๅขๅๆบ่ฝไฝ
#
# - ็ฏๅข๏ผ MinorityG... | 21,019 |
/numpy/.ipynb_checkpoints/Udemy - Numpy Arrays -checkpoint.ipynb | a0a2e39e5811224c467cf85b6ae2936af7df2690 | [] | no_license | shivakrishnak/python | https://github.com/shivakrishnak/python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,515 | # ---
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import numpy as np
my_list = [1,2,3]
arr = np.array(... | 896 |
/06-PyViz/1/Activities/07-Ins_Viz_Options/Solved/viz_options.ipynb | dc57f02b7d8cbc69044250f467acc61224a3020e | [] | no_license | CPix18/MyFinTechRepo | https://github.com/CPix18/MyFinTechRepo | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,977,171 | # ---
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import pandas as pd
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/timeseries/.ipynb_checkpoints/Data_science_exercise-checkpoint.ipynb | a6339c6be4cc3e26c425c53974cbfadf5b6f5bf5 | [] | no_license | varshinireddyt/Python-for-DataScience | https://github.com/varshinireddyt/Python-for-DataScience | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 229,624 | # ---
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/lab2/notebooks/02-look-at-emnist-lines.ipynb | a31045543eab91d2010ca0ac01bbd53796ec99d1 | [
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/exercise2/1_FullyConnectedNets.ipynb | 4dd7daa1996746bf65da20cdfbec0ca953790d34 | [] | no_license | raincrash/i2dl | https://github.com/raincrash/i2dl | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 370,077 | # ---
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#
# Autograd: automatic differen... | 25,404 |
/cratering.ipynb | 95a7416332516d1cd085728e1d65eb6fe48928bb | [] | no_license | UChicagoPhysicsLabs/Physics131 | https://github.com/UChicagoPhysicsLabs/Physics131 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 337,590 | # ---
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/OpenCVBasics/Green Screen Car.ipynb | 8454d2f97f21175230f414f0460ce52cde2386db | [] | no_license | srikanthadya/CV | https://github.com/srikanthadya/CV | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 431,549 | # ---
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# # Color Masking, Green Screen
# ### Import resource... | 2,115 |
/Investigate_a_Dataset.ipynb | 98663746e8cebba4d561455a75b4b00114fda49b | [] | no_license | gabriela99/Investigating-Gapminder-Datasets | https://github.com/gabriela99/Investigating-Gapminder-Datasets | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 602,086 | # ---
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# # ะะฐะดะฐะฝะธะต ะฟะพ ะฟัะพะณัะฐะผะผะธัะพะฒะฐะฝะธั: ะัะตะดะพะฑัะฐะฑะพัะบะฐ ะดะฐะฝะฝัั
... | 2,453 |
/Output In Construction 1.ipynb | 1d3cab767c04d88eea2fc3c1883581930be9ab6f | [] | no_license | GSS-Cogs/mock-transformations | https://github.com/GSS-Cogs/mock-transformations | 0 | 3 | null | 2021-01-28T10:29:51 | 2020-10-02T16:00:52 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 2,571 | # ---
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# # Output In The Construction Industry
#
# -----
#
# ... | 1,464 |
/Assignments/intro_into_Python/assignment_module_3.ipynb | b27062fd2b73cf31df54f0d5e4dcd4f7d61392f1 | [] | no_license | mmehmadi94/Data_Science_Bootcamp_codingDojo | https://github.com/mmehmadi94/Data_Science_Bootcamp_codingDojo | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 82,138 | # ---
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/6.classification-1/Ch4_classification .ipynb | b9251471ca770ef28e6ff8c9620a8747d7238557 | [] | no_license | chunghyunhee/python_ml_perfect_guide | https://github.com/chunghyunhee/python_ml_perfect_guide | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 311,671 | # ---
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# # Collision Avoidance - Live Demo
#
# In this notebo... | 19,027 |
/Cloth Shop Linear Regression Project.ipynb | dc2743ba115d56d4009e909ed4f90e1346ea7666 | [] | no_license | poojakelkar/Data-Science-Study | https://github.com/poojakelkar/Data-Science-Study | 0 | 0 | null | 2020-03-31T19:52:07 | 2020-03-31T19:47:23 | null | Jupyter Notebook | false | false | .py | 497,169 | # ---
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# # DS106 Machine Learning : Lesson Three ... | 19,031 |
/Copy_of_Weekly_Project_MNIST.ipynb | 159cead6ef10d8a7183a470d5327d2c6fba71f9a | [] | no_license | mong-pnh/DS24-CoderSchool2020 | https://github.com/mong-pnh/DS24-CoderSchool2020 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 120,149 | # ---
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/FASA/events/EDA Events.ipynb | 75e8f8e17b96ed4110f9c921eeba1127acba7754 | [] | no_license | aizatrosli/MANB1123 | https://github.com/aizatrosli/MANB1123 | 0 | 0 | null | 2019-09-21T04:33:39 | 2018-06-04T00:13:59 | null | Jupyter Notebook | false | false | .py | 674,562 | # ---
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/Glushenko_497_9_2.ipynb | 103959bd719e2e87e625462252c78ffbafe47ae2 | [] | no_license | glutolik/MathStatisticsPractice | https://github.com/glutolik/MathStatisticsPractice | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,435 | # ---
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/ipynb/pow(x,0).ipynb | 025ec8c993f499054c7087777455002cc29f82f6 | [
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# # Ettoday ็ถฒ่ทฏ็ฌ่ฒๅฏฆไฝ็ทด็ฟ
#
#
# * ่ฝๅค ๅฉ็จ Request + BeatifulSo... | 2,069 |
/.ipynb_checkpoints/Partnership Kit (Anchor Buyer)-checkpoint.ipynb | 22f4527bf3e72241da148a43c4ee2667f9ae8f88 | [] | no_license | muarrikh-at-investree/partnership-kit | https://github.com/muarrikh-at-investree/partnership-kit | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 165,489 | # ---
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# Import packages and load the data
import numpy as n... | 17,693 |
/.ipynb_checkpoints/make_colormnist-checkpoint.ipynb | 1662fde6c242107da8187012b1ebaa3af997f158 | [
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/modified-dr-jason-cnn-with-pso-new abdallah lasttttttttttttttttttttt .ipynb | de4c68515109820cabfee023da8602454c40da0c | [] | no_license | lamiaaAliSaid/lamiaaphd | https://github.com/lamiaaAliSaid/lamiaaphd | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,577 | # ---
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/ไฝๆฅญ/.ipynb_checkpoints/10.23ๆธ่ปไฝๆฅญไธ ๅ ๅผๅ่งฃ-checkpoint.ipynb | 099052863b26f3e3b50876ebac4ae8e529a5507f | [] | no_license | amyyang17/mywork | https://github.com/amyyang17/mywork | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,356 | # ---
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/US_Ecommerce/US_Ecommerce.ipynb | a6e134f7370cf9c71cc0ff575107ee6295f2437e | [] | no_license | huyvofjh/PortfolioProject | https://github.com/huyvofjh/PortfolioProject | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 20,206 | # ---
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/notebooks/shreeshet/explore-and-classify-birds-by-their-bones.ipynb | 237c19ff23853ec40f007d18c93500c2b16d90ab | [] | no_license | Sayem-Mohammad-Imtiaz/kaggle-notebooks | https://github.com/Sayem-Mohammad-Imtiaz/kaggle-notebooks | 5 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 23,893 | # ---
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/HW9/.ipynb_checkpoints/HW9_B87772-checkpoint.ipynb | 462e728242f85b8cd2f443114100aa08b14d64ce | [] | no_license | saidk/algorithmics | https://github.com/saidk/algorithmics | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 336,040 | # ---
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filename = "GC36/Schpo1_chrome_1_an... | 984 |
/Sample sine wave.ipynb | 650905f513d0fdaa83e68ad6eeaca80409ba42a9 | [] | no_license | venkat0990/Venky-coding-work | https://github.com/venkat0990/Venky-coding-work | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 128,746 | # ---
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/workshop/DM_only_5533_widget.ipynb | 019241f10e20bcfabfd7f4cea862e947d6deb803 | [] | no_license | villano-lab/grav_project | https://github.com/villano-lab/grav_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,311 | # ---
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/Applied Text Mining/3_Spam_or_NotSpam_Assignment.ipynb | b544ffd52db20294ed508dba9d640499597ab0c5 | [] | no_license | Keulando/Applied_Data_Science | https://github.com/Keulando/Applied_Data_Science | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 27,679 | # ---
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/LinearAlgebra.ipynb | 1f792eb9fe9cb674ea5ed39f33b0ef8aecd3f6b7 | [] | no_license | khodeprasad/LinearAlgebra | https://github.com/khodeprasad/LinearAlgebra | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,253 | # ---
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/postman-checkpoint.ipynb | 2f83cb330df9eeb977e755d95a777b3cfa557353 | [] | no_license | jminaeva/jminaeva | https://github.com/jminaeva/jminaeva | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,061 | # ---
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/Foundation/04-pandas-intro/exercises/01-harry-potter.ipynb | e8319c4c4d32de6544d0d9c1fc42fc14eeaf8dba | [] | no_license | ohjho/ftds_oct_2018 | https://github.com/ohjho/ftds_oct_2018 | 5 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 194,807 | # ---
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/Gradient_Descent_Assignment.ipynb | e3d6433502171f2de6834a7cb5b990867d400bf8 | [] | no_license | dcarter-ds/DS-Unit-2-Sprint-2-Linear-Regression | https://github.com/dcarter-ds/DS-Unit-2-Sprint-2-Linear-Regression | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 46,065 | # ---
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# sdfger NameError
# ergvd sdfe SyntaxError
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/Project/HNSC/.ipynb_checkpoints/sub_em_structure-checkpoint.ipynb | e365f6a3783da64ba6565d7bd6366e82e2ed4709 | [] | no_license | Arcade0/TCI | https://github.com/Arcade0/TCI | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 8,300 | # ---
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#####
install.packages("bnlearn")
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/CNN.ipynb | 55914d47d9f41fe82dfa59c6f42ef9a2ea64fcaa | [] | no_license | DaDaCheng/NeuralLandscap | https://github.com/DaDaCheng/NeuralLandscap | 2 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 77,022 | # ---
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import numpy
import pandas
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/functions_Finkel.ipynb | be690fa84d48ae31bd2153ef66b98706a9b5ad34 | [] | no_license | SvetlanaF1147/python_HW5 | https://github.com/SvetlanaF1147/python_HW5 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,222 | # ---
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/houghlines.ipynb | 6701ad32642359356ebb7bd9eba9c3910a69f8ee | [] | no_license | cheapthrillandwine/exercise_source | https://github.com/cheapthrillandwine/exercise_source | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,696 | # ---
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# Note My sqlite3 database is loca... | 15,347 |
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imp... | 15,383 |
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# ะั ัะฐะฑะพัะฐะตัะต ัะตะบัะตัะฐัะตะผ ะธ ะฒะฐะผ ะฟะพััะพัะฝะฝะพ ะฟัะธั
ะพะดัั ัะฐะท... | 14,337 |
/ML Foundations/Week 2/.ipynb_checkpoints/Predicting house prices-checkpoint.ipynb | 0f74787c4f71462f1b97a4e3d2b741f77e363e1a | [] | no_license | josh-alley/Coursera-Machine-Learning | https://github.com/josh-alley/Coursera-Machine-Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,767 | # ---
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# #Fire up graphlab create
import graphlab
# #Load s... | 4,986 |
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from sklearn.mo... | 4,196 |
/Intermediate Machine Learning/2 - missing values.ipynb | 4f82d7bd4d290aec8812293cf3c8510b2565fbca | [] | no_license | Moretti-eus/Kaggle-Courses | https://github.com/Moretti-eus/Kaggle-Courses | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 24,267 | # ---
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# **This notebook is an exercise in the [Intermediate ... | 13,993 |
/theatre.ipynb | 29fb0840fde3b053e47aaf681fcb953454217655 | [] | no_license | ShahMusaev/Anomaly-Detection-with-LSTM | https://github.com/ShahMusaev/Anomaly-Detection-with-LSTM | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 267,013 | # ---
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# # ะะผะฟะพัั ะฑะธะฑะปะธะพัะตะบ
# +
# import libraries
import... | 8,691 |
/notebooks/vfsousas/question-answer-npl-exercise.ipynb | 0ba0a83f3f595bac0e06e07e3cb4f3081a7a5c0c | [] | no_license | Sayem-Mohammad-Imtiaz/kaggle-notebooks | https://github.com/Sayem-Mohammad-Imtiaz/kaggle-notebooks | 5 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,674 | # ---
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/Day4_B35.ipynb | becb62e78f54c6172988f6d297cfe61c92a90b7a | [] | no_license | cyclonstar/python_fundamentals | https://github.com/cyclonstar/python_fundamentals | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 8,775 | # ---
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/Libraries_Installation.ipynb | a54e83af778b5831f1d0399ee038ce767e7cea64 | [] | no_license | yassineaitmalek/DW_project | https://github.com/yassineaitmalek/DW_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 26,044 | # ---
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# <h1>Libraries Installation</h1>
#
# +
# ! pip3 inst... | 17,613 |
/Burgers_approximate.ipynb | 0860a7ad6e2e2f2dcb07ad9bde78720449a87da5 | [] | no_license | dksprabhu/riemann_book | https://github.com/dksprabhu/riemann_book | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 15,104 | # ---
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# + [markdown] tags=["raw"]
# $$
# \newcommand{\wave}{... | 11,573 |
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/05_ๅๅฝ็ฎๆณๆกไพ(ไบ)๏ผๆณขๅฃซ้กฟๆฟๅฑ็ง่ตไปทๆ ผ้ขๆต.ipynb | 7fae2d411276485f78e73910ba32dc453526f543 | [] | no_license | HunterArley/MLDemo | https://github.com/HunterArley/MLDemo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 144,451 | # ---
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/Mini-Projects/Classification Practice/classification_metrics.ipynb | 041dc2fb037df65725af0c89a2aaccf639c1620c | [
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# ### Our Mission
#
# In this lesson you gained some i... | 15,041 |
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# # model 3-3ใซใใใ$X_{i}$ใฎๆฐ$N$ใซๅฏพใใๅนณๅในใใใ้่ท้ข$\phi$ใฎใใญใใใจ... | 15,749 |
/IntroNumpyScipy.ipynb | 776588c1e12e5367f73e616e954867450abdbe8a | [] | no_license | georgsmeinung/datascience101 | https://github.com/georgsmeinung/datascience101 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,690,451 | # ---
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/Project 2 - Modeling.ipynb | f33a5145e3fb64b03cc6103b277bb5dbc227ddc8 | [] | no_license | yichenhu577/Ames | https://github.com/yichenhu577/Ames | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 137,709 | # ---
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# ## Pre-Processing - (continued) / Modeling ##
# Not... | 9,697 |
/05.ไฟใๅใ่งฃๆ/047.ๆฉ่ฝๅ่ฉๆงๆใฎใใคใใณใฐ.ipynb | cd078f4d574c7740a654c0f0a2447231f0d50475 | [] | no_license | YoheiFukuhara/nlp100 | https://github.com/YoheiFukuhara/nlp100 | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,101 | # ---
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# ๅ่ฉใฎใฒๆ ผใซใตๅคๆฅ็ถๅ่ฉใๅ
ฅใฃใฆใใๅ ดๅใฎใฟใซ็็ฎใใใ๏ผ46ใฎใใญใฐใฉใ ใไปฅไธใฎไปๆงใๆบใใใใใซๆนๅค... | 4,305 |
/image_classification.ipynb | 9ea1675ef3bf9b7ae27969323a6ba2e72a448879 | [] | no_license | prashan1/Dress-Clasification- | https://github.com/prashan1/Dress-Clasification- | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 33,068 | # ---
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import tensorflow as tf
from tensorflow import keras
f... | 20,420 |
/4_Class_Analysis/1. Updated Normalization.ipynb | 81d8a80300a017f323c1b3c70715254f2c0d834c | [] | no_license | Arnab-Sarker/WatChMaL_analysis | https://github.com/Arnab-Sarker/WatChMaL_analysis | 1 | 0 | null | 2022-03-15T05:34:02 | 2021-02-22T18:24:07 | null | Jupyter Notebook | false | false | .py | 261,281 | # ---
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/Feature Matching.ipynb | acdee5a2739aad337519ec1b8e1c2e721832d989 | [] | no_license | mayank0802/computer-vision | https://github.com/mayank0802/computer-vision | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,275 | # ---
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#this is the notebook to generate the model
# -
i... | 5,996 |
/Multi-Layer Perceptron Attack 1.ipynb | d2e9e5a6a2eecbdd8817b500b8ca8ffc037ba8a9 | [] | no_license | tj-kim/privacy_project | https://github.com/tj-kim/privacy_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,472 | # ---
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# This notebooks tests the spatial reasoning architect... | 18,873 |
/Insurance - Model Training Notebook_VJ.ipynb | aa016661c5439b7a4d6be9b44ae696e8370be21d | [] | no_license | vinejain/insurance-bill-prediction-app | https://github.com/vinejain/insurance-bill-prediction-app | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 262,369 | # ---
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pip install pycaret
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/ice_cream_sales_Unsolved.ipynb | de50c7085de86f25636caca9f852c5e1e3cd60dc | [] | no_license | AhmadBouMerhi/Matplotlib | https://github.com/AhmadBouMerhi/Matplotlib | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 67,087 | # ---
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/module_0/module_0.ipynb | 89889006e003069b7f48f886c416bad839efcdb2 | [] | no_license | Mormaethor1989/SF-DST-U0-GIT1 | https://github.com/Mormaethor1989/SF-DST-U0-GIT1 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,469 | # ---
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