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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "c2e61c32-1a5d-4666-8526-5e85367bd21d", "showTitle": false, "title": ""}
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# hash: cf85b414d3663472de89104473c842eaab37d7b8... | 2_Ejercicios/Primera_parte/Entregables/2. Ejercios_Mod1/2020_12_18/4_Apply/Students_Alcohol_Consumption/Student_Alc_Cons.ipynb |
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# # https://raw.githubusercontent.com/eco32i/biodata/m... | sessions/Stats.ipynb |
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import numpy as np
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# CrossEntropyErr... | ch4/simpleNet.ipynb |
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# ## 1-minute introduction to Jupyter ##
#
# A Jupyter... | Assignment 10/assignment_10.ipynb |
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# + [markdown] id="jxK1_8f1dvrc"
# <div>
# <img src="https://drive.google.com... | Week-1/Etivity_1_MarkDevine_19187289.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Using_Word2Vec_Embeddings.ipynb |
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# # Bus
#
# This bus has a passenger entry and exit co... | bus/bus.ipynb |
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# # Numpy and Pandas
import numpy as np
from numpy i... | notebooks/wpa_3.ipynb |
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# + [markdown] id="nsnFjhKKVUXB"
# # **ANALYSIS OF FINANCIAL INCLUSION IN EAS... | Moringa_Data_Science_Core_W2_Independent_Project_2021_09_Moreen_Mugambi_Python_Notebook_ipyn.ipynb |
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N, K=map(int, input().split())
x_max=100000
arrived=[False for i in range(x_max+1)]
arrived[N]=True
time=[0 for i in range(x_max+1)]
start_mar... | OpenJudge/test.ipynb |
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from collections import Counter
from collections i... | notebooks/eda.ipynb |
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# +
import torch
import sys
import o... | research/notebooks/190929 OpenMM Loss Starter Code.ipynb |
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# + [markdown] origin_pos=0
# # Attention Scoring Functions
# :label:`sec_attention-scoring-functions`
#
# In :numref:`sec_nadaraya-watson`,
#... | scripts/d21-en/mxnet/chapter_attention-mechanisms/attention-scoring-functions.ipynb |
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# ### 헤드리스 크롬
#
# 구글 인기영화 - 할인 중인 영화
# ### User-Agent... | shared/notebooks/2_web-scraping-I/.ipynb_checkpoints/21_docker_headless_selenium_scraping_user_agent-checkpoint.ipynb |
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print("Hello there")
tax = 12.5/100
price= 100
price*... | tutorial_pyhton_org.ipynb |
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# + [markdown] id="5UyFJYXOx-WH" slideshow... | lecture_notebooks/L-- Syllabus.ipynb |
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# # Plot
# 07.20: 目标是寻找plot绘制的mark不会变形的秘密
# 将一组点描绘在一... | mpl_plot.ipynb |
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from bs4 import BeautifulSoup
import requests
page = ... | sify_scrap.ipynb |
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# # Case study: K-means
#
# K-means is a simple algori... | Day_1_Scientific_Python/numpys/k_means.ipynb |
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# +
#This code creates list of all files within same d... | PIV_PROCESSING_FINAL/1surface/deletion_even.ipynb |
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# ## Advance Data Science Innovation - Assignment 1 Se... | notebooks/paipa_carol-90014679-week2_xgboost.ipynb |
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# ![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/... | jupyter/training/italian/Train-SentimentDetector-Italian.ipynb |
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# # Python для анализа данных
#
# *<NAME>, НИУ ВШЭ*
#
... | week5/2020_DPO_10_3_selenium-books.ipynb |
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# # Falta fazer
# ## Relatório
# ## Documentação
# im... | projeto3/genetic_algorithm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Day_013_HW.ipynb |
# -*- coding: utf-8 -*-
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#
# <h2 id="Rough-volatili... | src/.ipynb_checkpoints/RoughVolatilityFromPythonToJulia-checkpoint.ipynb |
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# ## Готовим данные
import pandas as pd
df = pd.read... | hw02/lesson_02/.ipynb_checkpoints/02_titanic-checkpoint.ipynb |
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# +
#! ! pip install FPDF
# -
from fpdf import FPDF
from PIL impo... | ESTUDO DE POO/ESTUDO-POO.ipynb |
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# # Implementation of Softmax Regression from Scratch
#
# :label:`chapter_softmax_scratch`
#
#
# Just as we implemented linear regression from... | d2l-en/chapter_linear-networks/softmax-regression-scratch.ipynb |
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# # Algorithms and Data Structures #
# [Toward Data s... | Algorithm and Data Structure.ipynb |
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# +
# import models
import matplotlib.pyplot as plt
i... | SVM/10Fold for Pathology _ NPathology/'1 Integrated backscatter (IB).ipynb |
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# + id="yWWwioF0h_u9" colab={"base_uri": "https://localhost:8080/"} outputId=... | materials/lesson2/Encoders.ipynb |
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# + [markdown] id="6x1ypzczQCwy"
# # TFX Pipeline Tuto... | courses/machine_learning/deepdive2/tensorflow_extended/solutions/penguin_simple.ipynb |
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from tabula import read_pdf
import os
import pandas as... | ANOVA/Leitura.ipynb |
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# [[source]](../api/alibi.explainers.anchor_tabular.rs... | doc/source/methods/Anchors.ipynb |
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# Image Deconvolution (ADMM Plug-and-Play Priors w/ BM4D)
# =======================================================
#
# This example demonstra... | notebooks/deconv_ppp_bm4d_admm.ipynb |
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# ![Egeria Logo](https://raw.githubusercontent.com/odp... | open-metadata-resources/open-metadata-labs/asset-management-labs/automated-curation.ipynb |
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# <a href="https://colab.research.google.com/github/Ne... | tutorials/W0D5_Statistics/W0D5_Outro.ipynb |
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# # 1) Implementation of Naive Bayes
import numpy as ... | 15. Naive Bayes ..... [abhishek201202].ipynb |
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import pandas as pd
from matplotlib import pyplot as p... | Part 2 - Regression/simple-linear-regression.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Q... | 2019_04_Brown/preprocessing/mne-report.ipynb |
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import pandas as pd
from bs4 import BeautifulSoup as b... | Missions_to_Mars/Mission_to_Mars.ipynb |
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# # I... | 06_Data.ipynb |
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# # Global Fishing Effort
import time
import numpy as... | initial_maps/Global_Fishing_Effort_v0.ipynb |
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# # Numerical methods
#
# My (now finished) PhD student <NAME> has been looking at num... | _build/jupyter_execute/content/research/numerical.ipynb |
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# + id="rkkKCW0qWL_0" colab_type="code" colab={}
# #!pip install datadotworld... | matrix_one/day3.ipynb |
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# # 17. Making Complex Decisions
# **17.1** \[mdp-mod... | Jupyter notebook/complex-decisions-exercises.ipynb |
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# # Estimating a continuous variable from a near-infra... | 03 Regression of NIR spectra.ipynb |
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#
# ## 1. Import Libraries
# +
import pandas as pd
im... | BestClassificationAlgorithm_IrisDataset.ipynb |
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# # Tools for NLP
#
# There are lots of feature transf... | Tools_for_NLP.ipynb |
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#STS-ECG GitHub Issue 39 "Create MGH AVR features ... | notebooks/create-mgh-all-features-labels-csv.ipynb |
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from sklearn.model_selection import cross_val_score
im... | Cls4-Supervised Learning - 1/Code 1.ipynb |
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# # Dictionaries
# ## The Python Dictiona... | module01_introduction_to_python/01_06_dictionaries.ipynb |
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# <h1>Dictionaries in Python</h1>
# <p><strong>Welcom... | Python-Dictionaries.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # B... | 1. Preface.ipynb |
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# # A brief intro to pydeck
#
# pydeck is made for vis... | bindings/python/pydeck/examples/01 - Introduction.ipynb |
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# ## <small>
# Copyright (c) 2017-21 <NAME>
#
# Permis... | Notebooks/Chapter10-DataPreparation/Chapter10-DataPreparation-1-Miscellaneous.ipynb |
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# + deletable=false editable=false
# Initialize OK
fro... | materials/sp20/lab/lab01/lab01.ipynb |
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# + [markdown] origin_pos=0
# # 多层感知机的从零开始实现
# :label:`sec_mlp_... | Dive-into-DL-paddlepaddle/docs/4_multilayer-perceptrons/4.2mlp-scratch.ipynb |
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# # Udacity Self-Driving Car Engineer Nanodegree Progr... | .ipynb_checkpoints/writeup-checkpoint.ipynb |
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import px4tools
import pandas
import pylab as pl
# %ma... | 15-10-24.ipynb |
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import sys
sys.path.append('../../taxonomy-enrichment/... | code/yuriy/taxonomy_features-ru.ipynb |
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# # Errors and Exceptions
# Every programmer encounte... | 05-writing-effective-tests/01-errors-and-exceptions.ipynb |
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# + id="kox2ddGqIBMZ" outputId="cda131e5-0cb0-4c5c-bbca-92ff23c28756" colab={... | Ch15_NLP-applications/sentiment-analysis_cnn_pt.ipynb |
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# # Linear Regression
# '
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root_directory = 'D:\\'
from multiprocessing.... | PyDirTreeMap.ipynb |
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# <NAME>. <NAME>. 2019 г.
#
# ## Газосодержание
# <a i... | notebooks/uPVT. Solution Gas-oil ratio.ipynb |
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# + id="8ZtuUVpcCEno" colab_type="code" colab={}
import numpy as np
import pa... | RFC_Model.ipynb |
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# # Model ensembling
#
# This example illustrates how ... | notebooks/ensembling.ipynb |
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import ipymaterialui as m
m.Chip(label=['hoi'])
# +
... | notebooks/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | gfootball/colabs/gfootball_example_from_prebuild.ipynb |
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# ## Data Preprocessing
# +
#importing the libraries
... | Semester V/Machine Learning (ML) (4659302)/14/ML_PR_14.ipynb |
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import rioxarray
import xarray as xr
import numpy as n... | scripts/regridding/regridding_by_histogram_numpy.ipynb |
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# <img src="http://hilpisch.com/tpq_logo.png" alt="The... | code/ch03/03_data_structures.ipynb |
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# # Introduction
# **Resources**
#
# * [Stanford Dogs... | Datasets/1430_Stanford_Dogs.ipynb |
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import boto3
import pandas as pd
import num... | scripts/XGBoost-Sagemaker.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | back/api/back-notebook.ipynb |
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import slidexplain as sle
explainer = sle.FunctionExp... | Examples.ipynb |
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# 分析に必要なライブラリをインポート
import pandas as pd
import numpy a... | analytics/workspace/.ipynb_checkpoints/【現在未使用】04_評価-checkpoint.ipynb |
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# # CSV to JSON
#
# After finishing to col... | data/json/csv-to-json.ipynb |
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# ![MIT Deep Learning](https://deeplearning.mit.edu/fi... | tutorial_gans/tutorial_gans.ipynb |
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# # Pandas dataframe output from callbacks
import ipy... | voila/callback_pandas.ipynb |
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# ## Configuring backend
# ### Configuration Files
#
... | docs/Configuring.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | 02 - Data Analysis.ipynb |
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# # Claudia
#Fehlermeldung
print("""/Users/info/.virt... | Vertiefungstage5_6/15 Debugging, Text, Server/00 Debugging Examples from Class.ipynb |
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# # Batch regression
#
# Carry out regression experiment for a fixed set of predictors and a set of target dates.
# +
import os, sys
from sub... | subseasonal_toolkit/models/perpp/perpp.ipynb |
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from database.strategy import Strategy
from database.s... | boiler/unity.ipynb |
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# # `text` plot
#
# This notebook is designed to demon... | notebooks/api_examples/plots/text.ipynb |
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# # Using the Sharpe ratio for stock analysis
# <p>An ... | src/Sharpe.ipynb |
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a = np.random.choice([0,1], 500, p... | Untitled.ipynb |
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def B(n,f):
var('t')
return sum([binomial(n,p... | 2_Curso/Laboratorio/SAGE-noteb/IPYNB/APROX/78-APROX-bernstein.ipynb |
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print("Let´s get started")
# In this notebook, I´m go... | Data/tweepy/Get Twitter Data.ipynb |
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# This is the stuff we did on 02/07
astring = "Mike"
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import numpy as np
import os
import cv2
import matplo... | scripts/inference/inference.ipynb |