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/ch11/chapter_11.ipynb | c2229a17f59996b7a301877ab5dea73f71623f37 | [
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] | permissive | ohing504/BuildingMachineLearningSystemsWithPython | https://github.com/ohing504/BuildingMachineLearningSystemsWithPython | 0 | 0 | MIT | 2019-07-16T04:58:42 | 2019-07-13T19:57:07 | null | Jupyter Notebook | false | false | .py | 32,081 | # ---
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# # Recommender Systems - YouTube
#
# The recommender ... | 33,070 |
/final pro code review/cnn/partG.ipynb | 844634d0ff527cc059eda05b81176b01cc8cac91 | [
"MIT"
] | permissive | humin1995/coe_Info7390 | https://github.com/humin1995/coe_Info7390 | 0 | 0 | null | 2018-04-21T21:40:05 | 2018-04-21T21:39:12 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 5,462 | # ---
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def nested_cross_val(df,model,space, n_iter,scoring,se... | 12,116 |
/Data Preprocessing.ipynb | 70cd548c3befe34c0441f365db9761f48fa67952 | [] | no_license | AneeshCEN/Data_Preprocessing | https://github.com/AneeshCEN/Data_Preprocessing | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,658 | # ---
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import torch
X = torch.Tensor([[7,8,9], [10,11,12]])
... | 1,382 |
/lecture31.ipynb | ce16040981b3cec874892fede9afe19b986674b6 | [] | no_license | hiroshijsc/Udemy | https://github.com/hiroshijsc/Udemy | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,062 | # ---
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# # SVM Model
#importing libraries
import numpy as np... | 1,325 |
/linearclassificaiton_tf.ipynb | b944b071e466d950748618aff8d5ba5f7697f121 | [] | no_license | noor60/linear-classification | https://github.com/noor60/linear-classification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 77,891 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 168,307 |
/02_Collections/02_Collections.ipynb | b440112e88e696bb39a8119ef5dd4d655de23290 | [] | no_license | yahsinho/DigMethods | https://github.com/yahsinho/DigMethods | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 21,079 | # ---
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/progress_bar.ipynb | 8ff4660d372d11e7f0a05358fb6ebbc80d89ceee | [] | no_license | huli/python-language | https://github.com/huli/python-language | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,537 | # ---
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import requests
from bs4 import BeautifulSoup
ur... | 658 |
/Untitled0.ipynb | 1a9edf0ce71749763f14d466ac952f78f87eba5b | [] | no_license | Bharatnaty/WEB-SCRAPING-PROJECTS | https://github.com/Bharatnaty/WEB-SCRAPING-PROJECTS | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 87,505 | # ---
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# + id="oYV8byBwuPKs"
import bs4
import pandas as pd
import csv
import reques... | 23,716 |
/model_V0.ipynb | beb592605c3201409bd75596f3c86ba231f10001 | [] | no_license | kangzhang0709/2018-kaggle-GoogleAnalytics-sliver-medal-solution | https://github.com/kangzhang0709/2018-kaggle-GoogleAnalytics-sliver-medal-solution | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 58,756 | # ---
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# # Ettoday 網路爬蟲實作練習
#
#
# * 能夠利用 Request + BeatifulSo... | 43,000 |
/exploratory-data-analysis.ipynb | cc48df85ea0f2ad1cc18aaecc80d36c9e77d9f3b | [] | no_license | kareem2117/Data-analysis-with-python | https://github.com/kareem2117/Data-analysis-with-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 304,796 | # ---
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y = 5
def abcd():
y = 3
print(y)
abcd()
print(... | 27,954 |
/analysis/Quantile.ipynb | d1f7ba3dafc3c85d9d0ea48caf4152e077e32693 | [] | no_license | nitesh10126/tKDC | https://github.com/nitesh10126/tKDC | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,970 | # ---
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# # Lab 8
# ### Seg 3 - Kmeans - Hough
#
# threshold_o... | 5,345 |
/Degrees That Pay You Back.ipynb | 96c63f03c754523510e9d794ac904e60b6058242 | [] | no_license | De-Geek/machine-learning | https://github.com/De-Geek/machine-learning | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 729,062 | # -*- coding: utf-8 -*-
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# + dc={"key": "4"} tags=["context"] deletable=f... | 17,270 |
/iid-experiments/fedplus/150_rounds_3_epochs/party_07.ipynb | 37cfa098a6be974de5f36421414e452f03ab1b2b | [] | no_license | olegov99/fl-experiments | https://github.com/olegov99/fl-experiments | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 522,124 | # ---
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from ipynb.fs.full.config_helper import get_party_... | 11,129 |
/ComparePDFs.ipynb | 8a235dbfc3e47ae062a239e3f4dd468a89dd300b | [] | no_license | dsrivallabha/PythonProgramming | https://github.com/dsrivallabha/PythonProgramming | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,346 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 3,018 |
/Wine quality Prediction.ipynb | 5457e019bbe5771a85f1bb20d526ce0d65f5d292 | [] | no_license | PhilippRados/Machine-Learning | https://github.com/PhilippRados/Machine-Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 152,850 | # ---
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# + [markdown] _cell_guid="3bd4b4df-0cc0-40b1-b4da-c0b... | 19,467 |
/Desktop/john_projects/python/Python4Bioinformatics2019/Notebooks/Codes to answers 2,3.ipynb | 758f1bf77a7da368be92f79b694da4d20097db18 | [
"CC-BY-3.0"
] | permissive | jnnjogu/jnnjogu | https://github.com/jnnjogu/jnnjogu | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 13,156 | # ---
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#Exercises Questions 2
AA = 'AAAAATCCCGAGGCGGCTAT... | 7,175 |
/HeroesOfPymoli_starter.ipynb | 6edbad15cb1dd89b7d03ee87c8b02d0110845b8c | [] | no_license | Preymark9/Pandas-Homework | https://github.com/Preymark9/Pandas-Homework | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 172,693 | # ---
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import numpy as np
from random import randint
from s... | 7,892 |
/Summarizer.ipynb | db345bc0a3d7ebe1af7109e394511207b8d75727 | [] | no_license | Jawakar/Scientific_Paper-Summarizer | https://github.com/Jawakar/Scientific_Paper-Summarizer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 97,270 | # ---
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# # Personal Finances Tracker
# .ipynb | 31a519f1e7ca68d43c470b1d81d2b110723b2626 | [] | no_license | jhkim3217/TTT-2020-Jeju | https://github.com/jhkim3217/TTT-2020-Jeju | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,287 | # ---
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import numpy as np
import matplotlib.pyplot as plt
# %... | 5,667 |
/13458_시험 감독.ipynb | 780a5300d4d95e61a668e9d055a74500ad7b714a | [] | no_license | kimjinho1/Baekjoon_Online_Judge_my_answer | https://github.com/kimjinho1/Baekjoon_Online_Judge_my_answer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,028 | # ---
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from math import ceil
N = int(input())
li = list(... | 2,544 |
/Numpy 行列演算.ipynb | 75ccba47532c24ebb5567fb389a7f7397b1f6507 | [] | no_license | 031yoshida/Python-NumPy | https://github.com/031yoshida/Python-NumPy | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,385 | # ---
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# §1. 前提条件
import numpy as np
# §2. 行列の生成と形状変更
a = ... | 553 |
/.ipynb_checkpoints/Optical flow-checkpoint.ipynb | e8f410991e8916a0e86e2e5a9052f8c2234c585b | [
"MIT"
] | permissive | NicoMavrocordatos/optic_flow_notebook | https://github.com/NicoMavrocordatos/optic_flow_notebook | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 489,672 | # ---
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# # Optical flow for ego-motion and structure estimati... | 353,773 |
/bellEntangledState/.ipynb_checkpoints/qbits-checkpoint.ipynb | cbaca2849b950a7a8f17a46cd153d2005fd450d0 | [] | no_license | invzz/quantumComputing | https://github.com/invzz/quantumComputing | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,281 | # ---
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# # Using Amazon Transcribe and Comprehend to analy... | 21,234 |
/Recurrent Neural Network.ipynb | fcd76d4555299fb24aad712ddb1850823b50601a | [] | no_license | aaaastark/DataScience-ArtificialIntelligence-MachinceLearning-DeepLearning | https://github.com/aaaastark/DataScience-ArtificialIntelligence-MachinceLearning-DeepLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 34,817 | # ---
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# + [markdown] id="BCZbiXansaGo"
# # Recognizing hand-written digits: Digits ... | 5,358 |
/M01-SupervisedLearning/SL01-DecisionTrees/iris_dataset_classification.ipynb | f9baed8a12fdd75dbeec9aba1408a9ccd29c3b73 | [
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] | permissive | ccampguilhem/Udacity-MachineLearning | https://github.com/ccampguilhem/Udacity-MachineLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 950,187 | # ---
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# # Introduction to Data Science
# ## Homework 3 Solut... | 33,087 |
/script26_Bsmt_randomized_search_cv.ipynb | 2b316b53ed0dd19e6b795d56a8fb19e053af65bd | [] | no_license | dwadziescia3/house_price | https://github.com/dwadziescia3/house_price | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 83,155 | # ---
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print("hello World!")
name ="Tayyab"
print(name)
na... | 6,468 |
/decay_final.ipynb | 0aefadf307db065553a00cb22510e470026b0199 | [] | no_license | jetthollister/DecayRateEstimation | https://github.com/jetthollister/DecayRateEstimation | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 677,362 | # ---
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import pandas as pd
import matplotlib.pyplot as pl... | 14,859 |
/Python/python/Chapter4.ipynb | 6cc77aa24a08cc24c64123897401475af15349b3 | [] | no_license | frankmaayn/data_science_bootcamp2020 | https://github.com/frankmaayn/data_science_bootcamp2020 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,104 | # ---
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#Practice 4.31
x0,y0 = #enter two numbers separat... | 668 |
/python_version/det_codebase/step002_det_P001_segVoting_v9_visSave.ipynb | 8571f8933c38ab96858d9a7082c9fc30c0d6f4b9 | [] | no_license | zhengjie23/pollenDetClsSystem | https://github.com/zhengjie23/pollenDetClsSystem | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 648,413 | # ---
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# import packages
# ------------------
#
# Some packag... | 19,152 |
/benchmark_dlbeamforming_circular_array_framebyframe.ipynb | ad1784fd829ed43886225b4e85e72f6d7ea681c9 | [
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] | permissive | dung-n-tran/dlbeamformer | https://github.com/dung-n-tran/dlbeamformer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,606,817 | # ---
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sc
taxi = sc.textFile('yellow.csv.gz')
bike = sc.text... | 1,376 |
/day4.ipynb | e524bd61070cb6c712d696a96c5ad66af78800eb | [] | no_license | amazuzu/hackaton_2021 | https://github.com/amazuzu/hackaton_2021 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 183,337 | # ---
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# # Convolutional Neural Networks
# ---
# In this note... | 15,614 |
/03b_Image_Display_with_Firefly.ipynb | f1656412b6b05634385507d93b94243abd17ca5d | [] | no_license | ameli1/tutorial-notebooks | https://github.com/ameli1/tutorial-notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,595 | # ---
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# # dMRI Preprocessing
#
# This note book processes mu... | 8,708 |
/selenium/1.basic/3.crawling_with_selector.ipynb | 0575fb48f654dee7e6c0372a2968192b724575dd | [] | no_license | iwindfree/webcrawling | https://github.com/iwindfree/webcrawling | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,983 | # ---
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# # CSS selector 를 이용한 크롤링
#
# 이번에는 css selector 를 이용하... | 5,194 |
/Lecture4/Sampling.ipynb | cd707a0dfd3acf993eb4391a26667b4e2d5acd1a | [] | no_license | animohan/uw350 | https://github.com/animohan/uw350 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 101,632 | # -*- coding: utf-8 -*-
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# # Sampling and Large Numbers
# ### Stephen Els... | 11,357 |
/germany_cases.ipynb | 15b0e68f41df70936429921956b075e1f89423a5 | [
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] | permissive | debsankha/covid-19 | https://github.com/debsankha/covid-19 | 0 | 0 | MIT | 2020-03-20T22:42:33 | 2020-03-20T15:22:51 | null | Jupyter Notebook | false | false | .py | 377,608 | # ---
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# # Modeling Future Sales Data for Shop-Item Pairs
#
# Th... | 10,303 |
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# # Module 5: Unsupervis... | 14,665 |
/CompStats-master/.ipynb_checkpoints/sampling_soln-checkpoint.ipynb | 2486192b436787f99800d04d7002d3aa053a8298 | [] | no_license | bartstonejjj/DataScienceIntensive | https://github.com/bartstonejjj/DataScienceIntensive | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,945 | # ---
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df1=pd.DataFrame({'A':['A... | 7,122 |
/Prog_Proj/P1/Subject1_이기훈.ipynb | a8f1791864033b5d126b6e8c914b92e5ef5df48c | [] | no_license | Mirdev/DSS_Code | https://github.com/Mirdev/DSS_Code | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,918 | # ---
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#1
n = 6277
d = 2
#O(N) = N
while d<n:
if not n%d:... | 2,022 |
/notebooks/mpwolke/digital-epidemiologist-coronavirus-2019-ncov.ipynb | 200ebc211a2c1723c2240834462481325cc693f8 | [] | 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 | 11,297 | # ---
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# # Implementing a Neural Network
# In this ex... | 15,712 |
/CatsAndDogs.ipynb | 5b42e6ab3035f29637da6ea7d6d9fd225589fcae | [] | no_license | XxRogueNerdxX/ImageClassification | https://github.com/XxRogueNerdxX/ImageClassification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 13,139 | # ---
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# ## Fetch Weather Data: From Stations Around the Wind... | 3,642 |
/beta_python3/10_yolo_annotate_maker.ipynb | f6e274d9bbf9197611065683aa4768696e97031a | [
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] | permissive | SothanaV/visionmarker | https://github.com/SothanaV/visionmarker | 0 | 0 | MIT | 2018-11-08T10:01:35 | 2018-08-10T07:16:08 | null | Jupyter Notebook | false | false | .py | 243,954 | # ---
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import os
import cv2
from codec... | 7,555 |
/Evan_Pettigrew_LAB_1.ipynb | ade8ce5d65157fc4b2b68f77f6b36301bc604789 | [
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 6,233 |
/06) 함수.ipynb | d149aef56591828dad735f5a3fdd6b1b3bd44521 | [] | no_license | escho22/python_basic | https://github.com/escho22/python_basic | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,836 | # ---
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def add_number(n1, n2):
ret = n1 + n2
return ... | 4,829 |
/MCD-ITESO/AEM/aem_proyecto/aem_proyecto_principal.ipynb | 56aa148395b5b619639c40105e0f3a0a742d1672 | [] | no_license | IFFranciscoME/FinTechLab | https://github.com/IFFranciscoME/FinTechLab | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,424 | # ---
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import tensorflow as tf
# #### 1. 定义变量及滑动平均类
# * [cla... | 5,089 |
/KNN_Using_Numpy_practice.ipynb | 4dfde72e3a6b02c9b45eb165991d5ab59dbfc274 | [
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# # 최근접 이웃 알고리즘 연습
import numpy as np
import matplotl... | 2,928 |
/get_sentences_from_korp.ipynb | f05f3a5f113cc9e172a0275c77ca38e5f84ca510 | [] | no_license | katildakat/KORP | https://github.com/katildakat/KORP | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 18,679 | # ---
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# # Get sentences of a corpus/subcorpus available (onl... | 6,670 |
/Working with index part 2.ipynb | f683177f338333705200cb4296b32d0b8d181012 | [] | no_license | viperk17/Pandas-Tutorials | https://github.com/viperk17/Pandas-Tutorials | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 49,910 | # ---
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import pandas as pd
df = pd.read_csv('data/survey... | 664 |
/02 - UNSUPERVISED/01. CLUSTERING/01 - KMeans - Customers - Solution.ipynb | b65b558a1e073a284f7ec0f7fa9adc868aabda54 | [] | no_license | mehdi-lamrani/sklearn-workshop | https://github.com/mehdi-lamrani/sklearn-workshop | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 45,389 | # ---
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# ## <center> KMeans </center>
#
# * https://scikit-le... | 1,619 |
/[DLS]baseline.ipynb | 63c1076deda72a3d172706a226eac5dec68029da | [] | no_license | mipatov/ml-notebooks | https://github.com/mipatov/ml-notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 310,065 | # ---
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# <h3 <b>... | 13,834 |
/source/linear/Classifier_linea_regression/classifier.ipynb | 2e39fe16734d36c2fa30e0423847f590f09b51f1 | [] | no_license | wookim789/MLexample | https://github.com/wookim789/MLexample | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 107,060 | # ---
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# # Functions, Scoping, Data Collections 1 & List Comp... | 26,192 |
/starter_code/WeatherPy.ipynb | dec551a9c7521215ea090cf3451ca6b878f81812 | [] | no_license | ksmuraski/HW-API | https://github.com/ksmuraski/HW-API | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 193,347 | # ---
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# # PSET 7: Molecular rotations. <br>
#
# ## Introdu... | 26,637 |
/2 - Double DQN.ipynb | 08484c63ceeb2a1d3be22cca9b6aa2530392e4b6 | [
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# %matplotlib qt5
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/Convolution-Edge-Filter (CNN).ipynb | a3efaafa3d55e510a2b775097066d207259b707b | [] | no_license | farooqahmed7/DEEP-LEARNING | https://github.com/farooqahmed7/DEEP-LEARNING | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 171,913 | # ---
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import numpy as np
import scipy
from scipy import ... | 3,041 |
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2 + 3
2 + 3
1 + 2
2 + 3;
print(2 + 3)
1 + 2
from I... | 4,960 |
/Iris_decisionTree/Iris_Tree.ipynb | 2a0df4d62c209609372136b21c238dfab229ec45 | [] | no_license | ApCoder123/MachineLearning | https://github.com/ApCoder123/MachineLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 174,320 | # ---
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import pydotplus
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/NotInfo.ML/Binary Classification.ipynb | 0e02a0625e558ba2d35d016a9093f97f62832ea8 | [
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# Import libraries
import os
import pandas as pd
impor... | 5,968 |
/Задача о носках.ipynb | 9c468d7791cdf992af0802c8f21d5f40a658c185 | [] | no_license | mmezhov/public_repo | https://github.com/mmezhov/public_repo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 168,514 | # ---
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# # Описание задачи
# В стиральной машинке стирались н... | 4,751 |
/TV, Halftime Shows, and the Big Game/notebook.ipynb | 9edf95b35e37786a09527fb9d6c132c316372f65 | [] | no_license | dipeshtimilsina/DS_ML_AI_Projects | https://github.com/dipeshtimilsina/DS_ML_AI_Projects | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 263,247 | # ---
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# + dc={"key": "3"} deletable=false editable=false run... | 18,964 |
/Notebooks/NLP modules Vocabulary-Indexing-Padding-Pretrained Embeddings.ipynb | b5fd16435a4ae0379bb0bb6470f717d9922f762d | [] | no_license | stratosm/NLP_modules | https://github.com/stratosm/NLP_modules | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,882 | # ---
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# ### pandas 基本操作
#
# 1 导入数据库
im... | 12,638 |
/Creating Lists.ipynb | 31975cbba69f2400b5eb5daf1804a59998ef6db8 | [] | no_license | DaisyAd/test | https://github.com/DaisyAd/test | 0 | 0 | null | 2020-10-20T02:13:50 | 2020-10-19T18:23:51 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 15,834 | # ---
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# +
списки из интервалов в слое
что мы можем с этим ... | 6,223 |
/99--exercises/20--csv__airlines.ipynb | 9e47b63bee4adcbdbcd12f2f7802645ed4285f82 | [] | no_license | jkanclerz/data-science-workshops-2021 | https://github.com/jkanclerz/data-science-workshops-2021 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,084 | # ---
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import matplotlib.pyplot as plt
fro... | 7,897 |
/Sequences, Time Series and Prediction/W2/Sequential DNN Exercise.ipynb | e6af0144f022f5969b13c7b7758cd52047028739 | [] | no_license | ZanePeycke/Tensorflow_Documentation_Testing | https://github.com/ZanePeycke/Tensorflow_Documentation_Testing | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 92,084 | # ---
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# + id="BOjujz601HcS"
import tensorflow as tf
import numpy as np
import matpl... | 3,724 |
/.ipynb_checkpoints/Project_503-checkpoint.ipynb | 4e6f5d85b0c3279d6492ca147bfd736df16e4bd9 | [] | no_license | sabahazmi/ML | https://github.com/sabahazmi/ML | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 77,697 | # ---
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# import everything and define a test runner funct... | 19,120 |
/code/model.ipynb | a019f0ee6a001d6938c0ea5c29e09453e16ccb23 | [] | no_license | gfleetwood/carvana-kaggle | https://github.com/gfleetwood/carvana-kaggle | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,677 | # ---
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# ## Libraries
# +
import random
import datetime
impo... | 46,677 |
/The Battle of the Neighborhoods - Week 1_Part2.ipynb | b28970679ada74808b54c1f424115aa53c88098f | [] | no_license | kulkarnipallavi99/coursera_capstone | https://github.com/kulkarnipallavi99/coursera_capstone | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,656 | # ---
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# ## Exercici 8
#
# Mostreu-me a veure que... | 2,569 |
/FSHA_mangled.ipynb | 960708eb6e8c130e183501e11ce62665e5e94f99 | [
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# # Load datasets
# +
import tensorflow as tf
import ... | 29,634 |
/Decision Tree.ipynb | af68d56e7e48d94ed6b33da2aa075272cc4bba12 | [] | no_license | shanudhawale/-Donors-Choose-dataset | https://github.com/shanudhawale/-Donors-Choose-dataset | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,704,736 | # ---
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/ch02/chapter_2_exercises.ipynb | e22abc3a59ed075a325e56573ef550bc196289a4 | [] | no_license | ThompsonBethany01/introducing-python | https://github.com/ThompsonBethany01/introducing-python | 0 | 0 | null | 2020-08-18T02:17:39 | 2020-08-16T10:32:37 | null | Jupyter Notebook | false | false | .py | 3,208 | # ---
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impo... | 1,004 |
/lect04/04-storing-data.ipynb | 28e32b0a25cd13b1e6dbc0e798c4345c667c4a8c | [] | no_license | jarhan/data-mining | https://github.com/jarhan/data-mining | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,886 | # ---
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# # Lecture 4: Storing Data
#
# Last update: Jan 13, 2... | 6,939 |
/src/.ipynb_checkpoints/l6_RU_FNN_CNN-checkpoint.ipynb | 9699a24ba153a6a5f4965e63d799c66eee5941d5 | [] | no_license | lilaspourpre/ner_nn_tutorial | https://github.com/lilaspourpre/ner_nn_tutorial | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 132,152 | # ---
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import pandas as pd
import numpy as np
import matp... | 37,687 |
/ps/03_RNG_Basic_Plotting.ipynb | 240cf4950c1aaf4c595c3048be2d6f4e82fd896a | [] | no_license | mkozturk/CMPE140 | https://github.com/mkozturk/CMPE140 | 31 | 67 | null | null | null | null | Jupyter Notebook | false | false | .r | 22,490 | # -*- coding: utf-8 -*-
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options(jupyter.rich_display = F)
# # Let's har... | 10,539 |
/RNN/v4/RNN_Sequence_Prediction_V4.ipynb | 18f256e86692322b3c1c8c827f1da9663a025032 | [] | no_license | Johannes0Horn/basic-ML-tasks | https://github.com/Johannes0Horn/basic-ML-tasks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 53,538 | # ---
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import fibo
fibo.fib(1000)
# -
fibo.fib2(100)
f... | 17,512 |
/examples/des-y1-w-cosmosis.ipynb | 573416d8c08ab274a5d90d46152a516306a39e4b | [
"Apache-2.0"
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/BFS/Constraints path.ipynb | 2cbbf5d55e54f9d8670b540d9342fe37e108da7f | [] | no_license | ravi-kumar-1010/algo | https://github.com/ravi-kumar-1010/algo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,365 | # ---
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key = (10,20)
print (key == (10,20))
# +
from colle... | 56,441 |
/Aula3_Teorica_Exercicio5.ipynb | 5b30a1166f7cf8c2175399958c985933d533855b | [] | no_license | nascimento-luciano/TestGit | https://github.com/nascimento-luciano/TestGit | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 13,857 | # ---
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from proveit.common import a, b, r, x
from proveit.bas... | 1,441 |
/AMLS_20-21_SN17031141/A2/A2_CNN.ipynb | c8eb9bd6f0144003da5147761480039cd368185c | [] | no_license | OliverJaison/AMLS_assignment20_21 | https://github.com/OliverJaison/AMLS_assignment20_21 | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 48,841 | # ---
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## Second visualization 2 using Seaborn... | 18,136 |
/module1-ols-regression/linear-regression-assignment.ipynb | 485c2160225d23a0dc73c4639e84661a7508bcf0 | [
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] | permissive | standroidbeta/DS-Unit-2-Sprint-2-Regression | https://github.com/standroidbeta/DS-Unit-2-Sprint-2-Regression | 0 | 0 | MIT | 2019-05-02T16:00:41 | 2019-05-02T14:58:51 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 79,427 | # ---
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# # Visualising data for reporting
# This Notebook wi... | 42,205 |
/基礎影像處理/D3 顏色相關的預處理 (改變亮度, 色差)/.ipynb_checkpoints/Day003_color_spave_op_HW-checkpoint.ipynb | 67e8bfc159abea4cac2e5fd843add5d8bc7036da | [] | no_license | hannnnk1231/1st-DL-CVMarathon | https://github.com/hannnnk1231/1st-DL-CVMarathon | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,761 | # ---
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# !pip install keras==2.1.1
# !pip install tensorflow... | 33,192 |
/MicrosoftMachineLearning/Module6/Bagging.ipynb | f6b99fba0f26764e80d7360e4ac08a4c152cdc55 | [] | no_license | SindbadBahri/Microsoft-Specialization | https://github.com/SindbadBahri/Microsoft-Specialization | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 146,118 | # ---
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# # Rewrite to style
from molsysmt.tools ... | 20,402 |
/DataFrame Kontrola i optymalizacja typów LAB.ipynb | a6cbb48ada80ffaefd0d49b0c9bd88ad940c0542 | [] | no_license | piotrsnella/Data-Analysis-Pandas | https://github.com/piotrsnella/Data-Analysis-Pandas | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,363 | # ---
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import pandas as pd
import numpy as np
import matplotl... | 1,064 |
/presensipy.ipynb | 99c3db9b748bdcd94e8a2a0ec104c8a0ba4030ae | [] | no_license | indahratuaulia/indah | https://github.com/indahratuaulia/indah | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 223,642 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 7,338 |
/Intrinsic.ipynb | 2dcaac7e3ed9d41625d9db3e4e87c797da7943b2 | [] | no_license | antonypaulson/NumPy-Training | https://github.com/antonypaulson/NumPy-Training | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,238 | # ---
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# <h2>Intrinsic NumPy array creation using NumPy's met... | 615 |
/3. Sampling.ipynb | 4b04d23bef82f109fff15a42c919da31230a470e | [] | no_license | ritikkashyap420/NITIE_Assignment | https://github.com/ritikkashyap420/NITIE_Assignment | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,117 | # ---
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import pandas as pd
df=pd.read_csv('creditcard.csv')
d... | 3,212 |
/RNN_mass_regression.ipynb | fe82cac50dfac9333c980fad74ced7386b22759f | [] | no_license | nhartman94/Vertex-Mass-Study | https://github.com/nhartman94/Vertex-Mass-Study | 2 | 1 | null | 2017-08-28T12:12:07 | 2017-08-07T16:50:02 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 1,977,275 | # ---
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# %pylab inline
t=linspace(0.3,1.5,13)
v=linspace(0.3... | 5,191 |
/PY0101EN-1.3_notebook_quizz_String_Operations.ipynb | 634a9b3704b54788c3b16c3a0b090c0ecc856f1f | [] | no_license | sanu1230/PY010EN_-Python_Basics_for_Data-Science | https://github.com/sanu1230/PY010EN_-Python_Basics_for_Data-Science | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,606 | # ---
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# + colab={"base_uri": "https://localhost:8080/", "height": 673} id="ljnYMqtz... | 8,899 |
/datacamp/Time_series/Correlation.ipynb | 7de5ea53ee2a1b5daadd73df11464db670c34d1c | [] | no_license | denglert/R-sandbox | https://github.com/denglert/R-sandbox | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 312,590 | # ---
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eu_stocks <- EuStockMarkets
head(eu_stocks)
DAX <- eu_stocks[,1]
FTSE ... | 857 |
/Stellar evolution and nucleosynthesis data/Install_Run_Analyze_MESA.ipynb | f080b8fe28f8be5723519323208bc462dd3c08e1 | [] | no_license | NuGrid/wendi-examples | https://github.com/NuGrid/wendi-examples | 5 | 6 | null | 2021-02-16T12:29:55 | 2021-02-15T18:28:36 | Jupyter Notebook | Jupyter Notebook | false | false | .sh | 5,586 | # ---
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# This notebook [lives here](https://github.com/NuGrid/wendi-ex... | 3,347 |
/Project2/Test/Untitled.ipynb | 77923e67713c07d17c3e8b6e27d003ab956ca5ae | [] | no_license | ZhongzhuPeng/pdf | https://github.com/ZhongzhuPeng/pdf | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,416 | # ---
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from pdfminer.pdfinterp import PDFResourceManager,... | 1,495 |
/assignment1/Assignment1.ipynb | 463e266a5480ee668d6672a2baf2bc5b74e824b8 | [] | no_license | moshenas/Adverserial_Learning_Yandex | https://github.com/moshenas/Adverserial_Learning_Yandex | 0 | 0 | null | 2021-07-03T21:42:20 | 2021-06-14T18:04:57 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 180,080 | # ---
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# # Assinment 1 - Adverserial Learning
#
# ## Eitamar ... | 7,412 |
/Statistics Project-ranked data.ipynb | fabda151dd54fa0c9e1f71fa5c4d82a376d05d36 | [] | no_license | RichardZong/Learning | https://github.com/RichardZong/Learning | 0 | 0 | null | 2017-09-13T16:13:40 | 2017-09-13T14:48:32 | null | Jupyter Notebook | false | false | .py | 9,283 | # ---
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# # Assignment_2
#
# Q1. What is the relationship be... | 38,176 |
/Spotted-it.ipynb | 1058066a4af2c4af54456167a28caf9bae48c2d7 | [] | no_license | iwasunowimme/Spotted-it | https://github.com/iwasunowimme/Spotted-it | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,783 | # ---
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import cv2
from os import listdir
# Folder name where... | 6,565 |
/bmcs_course/5_3_BS_DP_A.ipynb | 1c4ee91c58299eb1a14e3b17afeef5e33c66d0b1 | [] | no_license | znk96/bmcsapps | https://github.com/znk96/bmcsapps | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 284,152 | # ---
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import argparse, json, pickle, time
from pprint im... | 84,164 |
/ICTCOG_AI_Vision/210205_7기_고급시각저녁.ipynb | 22f656aa4804242f93156650f0e30678d43de1cd | [] | no_license | hyojun/ICTCOG_AI | https://github.com/hyojun/ICTCOG_AI | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,137,210 | # ---
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# + tags=["parameters"]
left = None
right = None
conf... | 6,369 |
/figs.ipynb | 1bf6aa961aacf5f66a2d28b2fcbc8f094276cb1f | [] | no_license | zsteve/reprogramming_batch | https://github.com/zsteve/reprogramming_batch | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 149,934 | # ---
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# # Lab 8. Convolutional Networks
#
# In this Lab we w... | 55,274 |
/lesson04/prep_notebook_lesson04.ipynb | 968b4be5de1f7a036826c1484c2ddaf689fe1d04 | [
"BSD-3-Clause"
] | permissive | jnaiman/csci-p-14110_su2020 | https://github.com/jnaiman/csci-p-14110_su2020 | 1 | 1 | BSD-3-Clause | 2020-05-26T21:40:13 | 2020-05-26T21:40:00 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 332,489 | # ---
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# + [markdown] tags=["pdf-title"]
# # What's this Tens... | 69,062 |
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