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/06/2. Ensemble learning.ipynb | ffcc02eb8df5138deb48a63c3f7d0f358dac3909 | [] | no_license | robom/vos2-2018 | https://github.com/robom/vos2-2018 | 4 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 571,545 | # ---
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# # Obsah prednasky
#
# ### myslienka a zmysel ucenia ... | 23,319 |
/abalone.ipynb | f144de67d1eb0f45092c5a98169af8d479a3da9e | [] | no_license | Attonasi/mach_learning_midproj | https://github.com/Attonasi/mach_learning_midproj | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 234,348 | # ---
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/Day3/.ipynb_checkpoints/House Rate Prediction-checkpoint.ipynb | b9f1741b04b88cf1f2cd89476469b2efe561ec92 | [] | no_license | rahdirs11/IEEE_ML | https://github.com/rahdirs11/IEEE_ML | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 215,228 | # ---
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boston = loa... | 1,368 |
/1 Математика и Python для анализа данных/1.3 Центральная предельная теорема своими руками/task_1_3.ipynb | 4d17ffed94958ab0b18efcf681a25d5011f90fa4 | [] | no_license | romannovikov/yandex_mipt_DS_specialization | https://github.com/romannovikov/yandex_mipt_DS_specialization | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 84,245 | # ---
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import numpy as np
import matplot... | 3,643 |
/mass_shootings.ipynb | 1139e60f7960a44659e875ddce4ed79b3371cbe6 | [] | no_license | subodhchhabra/mass-shootings | https://github.com/subodhchhabra/mass-shootings | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 261,407 | # ---
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/Python/python-machine-learning-book/chap3/Chapter3 A tour of Machine learning Clasifiers Using scikit-learn.ipynb | 0c1f6e885bb41dc20fb49010e008e4c609b1a99e | [] | no_license | dragstar328/NoteBooks | https://github.com/dragstar328/NoteBooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 118,640 | # ---
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# hierarchical Clustering
# Importing the librari... | 6,012 |
/code/1_snapshotting/Untitled.ipynb | 123bb8160fb9b40b8b4926682a66270a6e092aec | [] | no_license | KinaMarie/siliconvalleyanalysis | https://github.com/KinaMarie/siliconvalleyanalysis | 0 | 0 | null | 2020-05-11T18:52:12 | 2016-02-18T17:53:42 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 151,295 | # ---
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# # Web Scraping - Lab
#
# ## Introduction
#
# Now tha... | 6,940 |
/plots_python/python_notebooks_Vanessa/check_CABLE_ccam_190227.ipynb | 39517e094c22395d7a6646bbddc588bc9aad00fd | [] | no_license | juergenknauer/CABLE_files | https://github.com/juergenknauer/CABLE_files | 0 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 564,819 | # ---
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# %matplotlib inline
i... | 10,029 |
/DataScienceSeries_Lesson_1_EDA_Using_Python.ipynb | 297e7727aea7d8d87fea8b8fc5aa959704e6da46 | [] | no_license | nitarane/Python_Tutorial | https://github.com/nitarane/Python_Tutorial | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 221,292 | # ---
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# This notebook, is to help the novice python ... | 29,369 |
/02-hw-titanic-exercise.ipynb | 81cbb2332a29aa61de0b38c50f6133959e4aa283 | [
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] | permissive | petarivanov9/Machine-Learning-Course-FMI | https://github.com/petarivanov9/Machine-Learning-Course-FMI | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 67,832 | # ---
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# ### Домашнее задание
#
# 1. Разделить дата сет на тр... | 7,012 |
/ShEx_Python_Load_class.ipynb | 1863dd604e6772de175b1fc768754a83c9a29060 | [] | no_license | andrawaag/ShEx_Jupyter_kernel | https://github.com/andrawaag/ShEx_Jupyter_kernel | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,665 | # ---
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import ShEx
import pprint
input_url = "https://www.wi... | 668 |
/dog_app.ipynb | 9c57d2759ec7e17b01f0e13959129b989fca364a | [] | no_license | shwe87/project-dog-classification-udacity | https://github.com/shwe87/project-dog-classification-udacity | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,724,036 | # ---
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/LS_DS_422_Backprop_Assignment.ipynb | bdd572f43c4f13f3f67b336bca0e2db3821b5b26 | [] | no_license | mooglol/DS-Unit-4-Sprint-2-Neural-Networks | https://github.com/mooglol/DS-Unit-4-Sprint-2-Neural-Networks | 0 | 0 | null | 2019-12-10T22:24:54 | 2019-11-07T16:55:37 | null | Jupyter Notebook | false | false | .py | 15,161 | # ---
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# import necessary libraries
import pandas as pd
impor... | 5,839 |
/Question 2.ipynb | 64d0302d4d5758b0b49a11b0e67da2cfb9dd288b | [] | no_license | sulhicader/datathon_repo | https://github.com/sulhicader/datathon_repo | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .r | 133,606 | # -*- coding: utf-8 -*-
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library(dplyr)
library(ggplot2)
library(tidyr)
... | 4,722 |
/assignment2/FullyConnectedNets.ipynb | 80494edc97fc35b8c198bb4d3cb1640333e60640 | [] | no_license | minhcanh99/cs231n | https://github.com/minhcanh99/cs231n | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 373,553 | # ---
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# + [markdown] tags=["pdf-title"]
# # Fully-Connected ... | 32,700 |
/프로그래머스/Level_1/Level_1_x만큼_간격이_있는_n개의_숫자.ipynb | 7f55b51e952e11b5980027b87514fb96d259a0c5 | [] | no_license | Jpumpkin1223/CodingTest | https://github.com/Jpumpkin1223/CodingTest | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,767 | # ---
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# 함수 solution은 정수 x와 자연수 n을 입력 받아, x부터 시작해 x씩 증가하는 숫자를 n개... | 12,188 |
/university ranking/shanghairanking.ipynb | f646460e0947f60adfbf0c79bdf2055f044f9f82 | [] | no_license | Chrislee3x7/CollegeInfo | https://github.com/Chrislee3x7/CollegeInfo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,196 | # ---
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# + colab={"base_uri": "https://localhost:8080/"} id="hE344njY9ozW" execution... | 935 |
/01_mnist.ipynb | 114444b73c5984c8267dae40b6960d97e06e3669 | [] | no_license | PritikaRamu/Deep-Learning-Workshop | https://github.com/PritikaRamu/Deep-Learning-Workshop | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 62,159 | # ---
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/Preprocessing_LR_Coursera.ipynb | 7d2cd2c9d365625d8b12b6e501d3017b4c7eccd6 | [] | no_license | darrrya21/ml_projects | https://github.com/darrrya21/ml_projects | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 237,875 | # ---
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# + active=""
# **Корректность проверена на Python 3.6... | 37,207 |
/AirBnB Vancouver - CRISP-DM.ipynb | 435581cb6dfff78e2331e4029c98b0d70f806e52 | [] | no_license | will-to-ride/Vancouver-AirBnB | https://github.com/will-to-ride/Vancouver-AirBnB | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 640,979 | # ---
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# AirBnB Vancouver - CRISP-DM Model
#
# Using the CRI... | 12,116 |
/Instructions/climate_starter.ipynb | a8a331cd5198b8e2398e15f788f892b3a1b786eb | [] | no_license | mjenkins15/Jenkinssqlalchemy_Challenge | https://github.com/mjenkins15/Jenkinssqlalchemy_Challenge | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 215,215 | # ---
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/notebooks/results/Results 300.ipynb | d4dc692aeaba5d3b71bdb75ad25faeb712c223eb | [] | no_license | murraymacmahon/Tennis-Data-Analysis | https://github.com/murraymacmahon/Tennis-Data-Analysis | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 27,790 | # ---
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# # Results 300
# ## Purpose
# In this notebook we wi... | 2,070 |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2020 The... | 6,867 |
/create password.ipynb | 435226fdf0e6ab197e775df0672cc758dd6bf3e8 | [] | no_license | Nisha-qureshi/Extra-Codes | https://github.com/Nisha-qureshi/Extra-Codes | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,213 | # ---
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# +
import random
from string import digits
from strin... | 584 |
/19_ene_cyp.ipynb | c9a0674d63ab7bfe06614963308786cca208aebb | [] | no_license | AndreStrong/cyp_2021 | https://github.com/AndreStrong/cyp_2021 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 26,519 | # ---
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/Unit04 - GD/.ipynb_checkpoints/Gradient Descent-checkpoint.ipynb | e4e07dcc4375d49303c23ff9da6abe638b682598 | [] | no_license | J4RV13/IMLP343 | https://github.com/J4RV13/IMLP343 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 63,126 | # ---
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# # 梯度下降
# 梯度下降法的定義是：
#
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/lesson_5/Classwork.ipynb | 1dfef1aa99938e3bfd1b0a878eeeff279756e1c3 | [] | no_license | sashasenna/pydat21 | https://github.com/sashasenna/pydat21 | 0 | 0 | null | 2021-04-11T17:55:56 | 2021-04-10T15:08:10 | null | Jupyter Notebook | false | false | .py | 32,378 | # ---
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# +
# Про Поросенка
x = 0
y = 0
N = int(input('Скольк... | 6,363 |
/Partner_Assignment.ipynb | d7e6e2368432abf3cad145dd98bb19cf35439f3a | [] | no_license | jamesdiao/Dance-Partner-Assignment | https://github.com/jamesdiao/Dance-Partner-Assignment | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 21,258 | # ---
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### Declare variables, import packages
from... | 6,515 |
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# 1.Import packages
import pandas as pd
import numpy ... | 10,390 |
/Chapter03/Activity03.ipynb | c0f6c53089db3fe75069dcdbcec329266e4fd67b | [
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# # Activity 3
# import required packages from Keras
from ... | 24,659 |
/Jupyter y Apuntes/C13 - Redes Neuronales/Redes Neuronales.ipynb | 0bd926a05ec0847bd447e460907d7cf0a456a465 | [] | no_license | ING559/Syllabus-2020-2 | https://github.com/ING559/Syllabus-2020-2 | 12 | 19 | null | null | null | null | Jupyter Notebook | false | false | .py | 242,587 | # ---
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# # Redes Neuronales
#
# En este _notebook_ vamos a ap... | 14,801 |
/ocsvm.ipynb | b692380b4d218d6fcdcafdac3c448b490224c16c | [] | no_license | watarium/time_ocsvm | https://github.com/watarium/time_ocsvm | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 62,736 | # ---
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/disjoint sets/Disjoint Set - I.ipynb | 2995c3d851b9cf13860e863b03249616990ecdad | [] | no_license | ShubhGOYAL5/data-structures-in-python | https://github.com/ShubhGOYAL5/data-structures-in-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,592 | # ---
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class UnionFind:
def __init__(self, size):
... | 1,064 |
/Do_it_Algorithm_DataStructure/chap 5 재귀 알고리즘.ipynb | a6d7901e923f1b1bcac139fcaf3af0d68ed7c574 | [] | no_license | hayaseleu/leetcode_mysol | https://github.com/hayaseleu/leetcode_mysol | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,434 | # ---
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# + [markdown] id="NXZYOHe0mZmy" colab_type="text"
# #... | 12,745 |
/C4/W1/Convolution_model_Application_v1a.ipynb | c80d513d1c7d5e7a0fabf9828daf022a0d4bbe97 | [] | no_license | Virusdoll/Stanford.CS230 | https://github.com/Virusdoll/Stanford.CS230 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 182,955 | # ---
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# # Convolutional Neural Networks: Applicatio... | 33,073 |
/Deep Learning/tensorflow_MNIST_-_Assaf_B._Spanier_ZogoZqs.ipynb | a40130ab6615514c377a81b7577c24dd8a1dcd30 | [] | no_license | shalomazar/Personal-Projects | https://github.com/shalomazar/Personal-Projects | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,612 | # ---
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# # `pandas`
# %pylab inline
plt.style.use('ggplot')
... | 14,050 |
/starbucks_capstone/data_exploration.ipynb | 6fd4ec672ccbe83e8688a196dcea9df7b9491392 | [] | no_license | breakAwall/ml_lessons | https://github.com/breakAwall/ml_lessons | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 411,163 | # ---
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import pandas as pd
import numpy as np
... | 20,111 |
/.ipynb_checkpoints/starter_code-checkpoint.ipynb | a2e11c7d9c1418360d2c4f9944c0bf1d72a34e98 | [] | no_license | lidajav/Cryptocurrencies | https://github.com/lidajav/Cryptocurrencies | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,059,913 | # ---
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# + [markdown] editable=true
# # Your first neural net... | 39,965 |
/Capstone week1.ipynb | b2e701206bf46e77798cc4ee5911357602bc5bf2 | [] | no_license | duyennt97/Coursera_Capstone | https://github.com/duyennt97/Coursera_Capstone | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,145 | # ---
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import pandas as pd
import numpy as np
import matplotl... | 16,021 |
/Lec12.ipynb | 128ede8301a6e0470d32dcb1ede1c136e2f10d47 | [] | no_license | keijak/udemy-pydata | https://github.com/keijak/udemy-pydata | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 84,753 | # ---
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import numpy as np
import matplotlib.pyplot as... | 1,576 |
/example/audio_augmenter.ipynb | 7e80b12b838616eabb6c9c1b26f0ee551fbfd2a7 | [
"MIT"
] | permissive | avostryakov/nlpaug | https://github.com/avostryakov/nlpaug | 0 | 0 | MIT | 2019-10-08T12:16:30 | 2019-10-08T06:03:54 | null | Jupyter Notebook | false | false | .py | 222,584 | # ---
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# Given a string S, we can transform every letter indi... | 2,577 |
/jupyter_notebooks/MSEplot_USAsondes_hvClickMap.ipynb | 8cef6af865915b2cc8b29bbb576b048d763e5f6d | [] | no_license | weiming9115/test- | https://github.com/weiming9115/test- | 0 | 3 | null | 2018-01-30T19:29:22 | 2018-01-23T18:41:06 | null | Jupyter Notebook | false | false | .py | 4,802,888 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 7,368 |
/analysis_notebooks/8.CERAD_style_CNN_scores.ipynb | fc9974f728042080d27f28822fb1054a72e96ae9 | [] | no_license | gutmanlab/Emory_Plaquebox_Paper | https://github.com/gutmanlab/Emory_Plaquebox_Paper | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,434 | # ---
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# # 8) CERAD Style CNN Scores
#
# Modify the CNN scori... | 12,596 |
/DS18_422.ipynb | 72284df649e6ab9e94bd10eb2bb469c6bf5d14ec | [] | no_license | Jace-Hambrick/Assignments | https://github.com/Jace-Hambrick/Assignments | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 228,319 | # ---
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# + [markdown] colab_type="text" id="NGGrt9EYlCqY"
# <... | 10,839 |
/Linear Regression with G.D. (ml-coursera-dataset-ex1).ipynb | 41be15ab0096a56ef1244c671c3a46acbe38741b | [] | no_license | Budeestar/My-repo | https://github.com/Budeestar/My-repo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 39,532 | # ---
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import pandas as pd
import numpy as np
import matplotl... | 1,718 |
/0430.ipynb | f221a393b4092b9a68a82734763d4b743c7803cc | [] | no_license | daniuniuniuniu/spark | https://github.com/daniuniuniuniu/spark | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 72,558 | # ---
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crawled_list = []
created_headers = {}
dict... | 50,452 |
/forbes-list-2021.ipynb | 5ee8fd7ba2b250ba3c00a36c8140e97b9b2591c0 | [] | no_license | Ragnarstefanss/forbes-python | https://github.com/Ragnarstefanss/forbes-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 30,247 | # ---
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# +
import pandas as pd
data=pd.read_csv("/kaggle/inpu... | 2,802 |
/3주차 과제.ipynb | 87b9bedeaf1df70480135fdf79840a7f03240821 | [] | no_license | namwoonKim/ML-Class | https://github.com/namwoonKim/ML-Class | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 701,274 | # ---
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# + [markdown] id="oef8c2jr-PZY"
# 作業目標<br>
# 計算有缺失值的資... | 24,643 |
/preprocessing/propertyvalues/fix_tax_addresses_master.ipynb | 8b7b20f47b021adf1445389c5e64b3f4a87849b9 | [] | no_license | asensio-lab/albany-housing-analytics | https://github.com/asensio-lab/albany-housing-analytics | 0 | 0 | null | 2022-12-08T05:19:37 | 2019-08-01T02:47:41 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 197,292 | # ---
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import pymongo as pm
from bson.objectid import ObjectI... | 3,035 |
/ML-Ensemble/BAGGING-RandomForest.ipynb | 80e362daf610fbfacb891e0dfc3f4c650a696253 | [] | no_license | Aprilcui11/Python_notes | https://github.com/Aprilcui11/Python_notes | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,709 | # ---
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# ## Random Forest
# Random forest is an extension of ... | 1,700 |
/assignment2/ConvolutionalNetworks.ipynb | 89683f984f6f29f521f69b7bf06a8eff7bb87279 | [] | no_license | MellonGuan/cs231n | https://github.com/MellonGuan/cs231n | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 213,853 | # ---
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# +
##################################
### Import the ... | 26,066 |
/jupyter_notebooks/Websim.ipynb | c5b29a284eb96387d8623f48bda4b3a2928d4296 | [] | no_license | d07s1d0s4d1/alphatron | https://github.com/d07s1d0s4d1/alphatron | 1 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 13,530 | # ---
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import requests
import json
import time
import log... | 6,465 |
/notebooks/AttentiveLSTMs.ipynb | 87b60ec79b627b4a60f93cb1ec1d76eaa6f81bd4 | [] | no_license | FASLADODO/SentimentClassification_TreeLSTM | https://github.com/FASLADODO/SentimentClassification_TreeLSTM | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 165,286 | # ---
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# # Data science in Python
#
# - Course GitHub repo: h... | 93,236 |
/teaching/DLinMedicine20/Labs/lab1/jupyter_demo.ipynb | 6b40a4649c9c0db0b7e438773bf2f098b5d54273 | [
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# # Operations On Set - Part 2
# Tutorial By **Tech B... | 1,517 |
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# + [markdown] papermill={"duration": 0.019153, "end_t... | 16,547 |
/School/2. Basic Practice.ipynb | b80ecfddf8011ceceb7006b4f865e104c18f9c9b | [] | no_license | jameslee5656/WebScraping | https://github.com/jameslee5656/WebScraping | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,901 | # ---
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# -*- coding:utf-8 -*-
import requests
from bs4 i... | 2,364 |
/Chapter_9.ipynb | 037b57e041cbb6f8e0d0ec807c06bb57ba269044 | [] | no_license | Mohsina-Jannat/Bioinformatics_Rosalind | https://github.com/Mohsina-Jannat/Bioinformatics_Rosalind | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,498 | # ---
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# + id="niaJFwj4QCph" colab_type="code" outputId="e063bb04-5a86-4406-df58-e09... | 5,682 |
/AlgorithmicToolbox/JdbelloroAlgorithmicToolboxCertificate.ipynb | f733e14e455af56a6bdc4baf4951953ecd9d629b | [] | no_license | jdbelloro/AlgorithmsUN2021I | https://github.com/jdbelloro/AlgorithmsUN2021I | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 117,567 | # ---
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# + [markdown] id="NIu0iMGYVuDm"
# #Coursera Certificate for Algorithmic Tool... | 117,068 |
/model/RecSys_0.2.ipynb | fa1c34068664644b1e696adcd33d9b7379e587a4 | [
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# + colab_type="code" id="WyzSN_bDVkZA" outputId="a4ca... | 24,957 |
/T1P2-Traffic-Sign-Classifier/Traffic_Sign_Classifier.ipynb | 27b77fa8af9ed0c2cadd3935aa7d965d05c29727 | [
"MIT"
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | 29,166 |
/meetup3/occupation-Exercise_with_Solution.ipynb | 30c373a984126302bd002f65c56cd32c468de2f2 | [] | no_license | Sdoof/Workshop | https://github.com/Sdoof/Workshop | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 28,266 | # ---
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# + id="k3KV4rsm_1zS" colab_type="code" colab={"base_uri": "https://localhost... | 10,938 |
/SAMPLING TECHNIQUE 30.08.2021.ipynb | e19c7691d7ee9cf27329e0443d222584116d63c1 | [] | no_license | AadeshY/KAGGLE-Dataset-Analysis | https://github.com/AadeshY/KAGGLE-Dataset-Analysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 115,214 | # ---
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# Sampling technique is part of classification algorit... | 5,473 |
/lab 4.ipynb | 1629abb0d803da560c814dd92daefd2adfb2f460 | [] | no_license | vipinethical/pythonworkshop | https://github.com/vipinethical/pythonworkshop | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,222 | # ---
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var1= (1,2,3,4)
print(var1[0:3],var1[-1])
# ## ques1... | 717 |
/model_building_4_29_Feature_Reduction.ipynb | e3062aef84fff37cbe36efb847afa51686dcf23e | [] | no_license | LinChiGong/COVID19-Forecasting | https://github.com/LinChiGong/COVID19-Forecasting | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 221,203 | # ---
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# # Inception model explanations, t0
# ## First w... | 6,536 |
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import pandas as pd
import numpy as np
import math
i... | 6,901 |
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from tpot import TPOTClassifier
from sklearn.datasets ... | 15,906 |
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# # Numpy高级
# 初始化环境
import numpy as np
# ## Numpy广播机... | 1,308 |
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# # NLP Sentiment Analysis notebook
# Importing all n... | 32,993 |
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# + colab={} colab_type="code" id="aJGx5zoxjRfa"
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np.random.seed(0)
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from IPython.display import Image
import numpy as ... | 14,770 |
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# %matplotlib inlin... | 43,861 |
/ground_truth_labeling_jobs/3d_dense_point_cloud_downsampling_tutorial/ground_truth_annotation_dense_point_cloud_tutorial.ipynb | fa1728ae792b55f0f0a8be9cec39e2cd5ac825a3 | [
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# ## Annotation of Dense Point Clouds Using... | 27,198 |
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import numpy as np
arr = [6, 7, 8, 9]
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/TASK_18.ipynb | c77b318df84a16fa33eb12df24afc7f5ddebf350 | [] | no_license | Alen-8080/Learn.py | https://github.com/Alen-8080/Learn.py | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,528 | # ---
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class mylist:
l=[]
def __init__(s,n):... | 2,421 |
/Tasks/Task6_DecisionTreeML.ipynb | 1b272de0fc46e48f0d54e44aee0e89b036f06bb9 | [] | no_license | DIRGH712/ML-Algorithms-Basics | https://github.com/DIRGH712/ML-Algorithms-Basics | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 112,470 | # ---
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#
# <br></br>
# <br><... | 1,841 |
/Emotion Classification.ipynb | 28eced4197e46fce9a0603a99d8d6334fba8786f | [] | no_license | ajay-del-bot/Emotion-Detection | https://github.com/ajay-del-bot/Emotion-Detection | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 112,228 | # ---
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/Livemint.ipynb | 6e526f2077c87650244fc9557a15c71922fc21d8 | [] | no_license | sroy263/Data-Visualization | https://github.com/sroy263/Data-Visualization | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,645 | # ---
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import numpy as np
import copy
# #### Init... | 3,918 |
/HomeWork/Day_090_color_histogram_HW.ipynb | 0c174f15e7d94b2dbc1b88b8daebf611d928d037 | [] | no_license | fyang109/3rd-ML100Days | https://github.com/fyang109/3rd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 134,605 | # ---
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# ## 作業目標
# * 畫出 16 個 bin 的顏色直方圖,並嘗試回答每個 channel 在 [16... | 2,314 |
/code/candidates.ipynb | 8eee31dcb90216106215b3760a81a5abeb5379a6 | [] | no_license | sahilchinoy/econ191 | https://github.com/sahilchinoy/econ191 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,427 | # ---
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# # 直接调用XGBoost
# ## 导入必要的工具包
# +
# 导入必要的工具包
import... | 2,933 |
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import tensorflow as tf
import numpy as np
from ... | 12,783 |
/PythonCode/U41A2.ipynb | dfc88763b775c705e0a484bf4a0f1caaab6bdd56 | [] | no_license | JoKaBus/VEH2020 | https://github.com/JoKaBus/VEH2020 | 0 | 0 | null | 2020-09-29T18:35:51 | 2020-09-29T18:34:47 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 247,896 | # ---
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/AAAI/Learnability/hard_attention_sdc/non-linear/dataset_4/hard_attention_9 (1).ipynb | 11f27f4c1fa7264a45f0207fb4722ffec584415b | [
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# + id="0vlCAi2JLSzD"
# from google.colab ... | 15,109 |
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/machinelearning.ipynb | d3d01cdfc35b748993030987248727e997bc8740 | [] | no_license | eliasmaia/machinelearning-alura | https://github.com/eliasmaia/machinelearning-alura | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,818 | # ---
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##LECTURA DEL FICHERO SPSS Y SUS METADATOS
##Debe esta... | 4,096 |
/Python Bootcamp From Zero to Hero in Python/01. Python Object and Data Structure Basics/04 - Print Formatting with Strings.ipynb | 4b3e2ca2fba1efb9f8cc06254243d834b65c0437 | [] | no_license | nicorema/Backend-Trainee | https://github.com/nicorema/Backend-Trainee | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,447 | # ---
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print('Hello Sr {}'.format('Nicolás'))
print('The {2}... | 588 |
/.ipynb_checkpoints/projeto-checkpoint.ipynb | 3ff75a85b2a1fd902701eeaeacca50482ec8252c | [] | no_license | Gabriel1955/Using_pytesseract_identify_in_PCB | https://github.com/Gabriel1955/Using_pytesseract_identify_in_PCB | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 166,327 | # ---
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#primeira abordagem
import numpy as np
import cv2 ... | 5,205 |
/APetryashev_Class_HW.ipynb | 05b219286dfd03b5c533f397c29813d045dda297 | [] | no_license | apetryashev/PYDA_18_HW | https://github.com/apetryashev/PYDA_18_HW | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,844 | # ---
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# ### Домашнее задание к лекции «Понятие класса»
# А.П... | 7,947 |
/06_Pandas/01_Series/10_Series_abs.ipynb | 603afad7f0911cfba2ab3f799ff7797ff973fb95 | [] | no_license | smahaboob2/Data_Science | https://github.com/smahaboob2/Data_Science | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,714 | # ---
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# importing pandas module
import pandas as pd
... | 786 |
/week8/lab8-with-code.ipynb | 0622fd9b79564ec1382e9bb386cf8eec4feafd28 | [] | no_license | keqpan/skoltech-gcv-course-2021 | https://github.com/keqpan/skoltech-gcv-course-2021 | 9 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,969,060 | # ---
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import numpy as np
import igl
import y... | 12,342 |
/05-Object Oriented Programming/02-Object Oriented Programming Homework.ipynb | 8064df30d7b5280ee16b5044e22d060c698248d7 | [] | no_license | EJAZ-IOT/COMPLETE-PYTHON3-BOOTCAMP | https://github.com/EJAZ-IOT/COMPLETE-PYTHON3-BOOTCAMP | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,843 | # ---
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# # Object Oriented Programming
# ## Homework Assignme... | 15,491 |
/Optimization.ipynb | ac759102eea61c78f8dfb11b33e0a196055033d9 | [] | no_license | sblml/deeplearning | https://github.com/sblml/deeplearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,653 | # ---
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# ### Objective : 10. Styling Pandas Table
# <hr>
#
# ... | 7,361 |
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# # Now let's look at this data plotted geospatially w... | 5,958 |
/CP3_Catboost.ipynb | 2e28df5948d29836d85c701a9346ce1634fdee1d | [] | no_license | WeiDong-Sanderson/Zillow_prediction | https://github.com/WeiDong-Sanderson/Zillow_prediction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 231,755 | # ---
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