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# + [markdown] deletable=true editable=true
# ... | notebooks/vad_function_scotts_code.ipynb |
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# ## Select all sub corpus images
#
# We f... | Create new Corpus PMA.ipynb |
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# # LitNFFs
# * T... | LitNFFs.ipynb |
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import os
import pandas as pd
import numpy as np
from ... | snippets/processing-nv-routes.ipynb |
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# # Efectos de la localidad
# ## Efectos ... | efectos-localidad-matriz-matriz.ipynb |
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import numpy as np
import pandas as pd
import gc
impor... | homecredit/0-produce_features-700.ipynb |
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# ### 1. 数据预处理
# +
import keras
from keras.datasets i... | TensorFlow Practical Google Deep Learning Framework/1.4.0/Chapter10/3. Keras-CNN.ipynb |
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import pandas as pd
df = pd.read_csv('koa... | api/data/koala.ipynb |
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# # Demos: Lecture 19
# +
import pennylan... | demos/Lecture19-Demos-Blank.ipynb |
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# ### 0. Make Imports and Set Up Device
# All imports ... | flower_exercise.ipynb |
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# <center>
# <img src="https://s3-api.us-geo.objec... | IBM Professional Certificates/Databases and SQL for Data Science with Python/4-1-1-RealDataPractice.ipynb |
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# # Welcome! (Beta)
# Welcome to the Arviz resources r... | archive/An_Introduction/Preface.ipynb |
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# + id="copyright"
# Copyright 2020 Google LLC
#
# Licensed under the Apache ... | ai-platform-unified/notebooks/unofficial/gapic/automl/showcase_automl_text_sentiment_analysis_batch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Poisson_Regression_model_223.ipynb |
# # Hyperparameter tuning by grid-search
#
# In the previous notebook, we saw that hyperparameters can affect the
# generalization performance of a model. In this notebook, we will show how to
# optimize hyperparameters using a grid-search approach.
# ## Our predictive model
#
# Let us reload the dataset as we did pre... | notebooks/parameter_tuning_grid_search.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # M... | intro-to-dl/week2/v2/digits_classification.ipynb |
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# # Introdução ao Python
# ##### Curso de Extensão... | notebooks/0_Intr/Introducao_ao_Python.ipynb |
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# this pip install is required to extract data from .e... | notebooks/Extracting Titanic Data.ipynb |
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# ### CIS 9 ###
# ### Numpy, Basic Statistics ###
# R... | CIS009/1_Data_Analysis_with_numpy/2-Numpy.ipynb |
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df_general= pd.read_csv('../data_... | data_notebooks/general_data.ipynb |
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# ## Configuration
# _Initial steps to get... | places/mono.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | notebooks/esip.ipynb |
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# # Diophantine Equation
#
# Goal - finding the inte... | notebooks/math/number_theory/diophantine-equation.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 004_Python_current_date_and_time.ipynb |
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# # 參數優化 - 將歷史報酬提升數倍的方式！
# 這個單元中，我們首先要來撰寫一個獲利的策略
#
# 寫一個... | finlab/u04_parameter_optimization.ipynb |
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# Copyright © 2020, SAS Institute Inc., Cary, NC, USA.... | addons/destinations/CreateAWSDestination.ipynb |
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# + colab={} colab_type="code" id="dzLKpmZICaWN"
from ... | Activity01/Activity01.ipynb |
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# # Manifest
# This is the script used to create the ... | Manifest.ipynb |
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import matplotlib.pyplot as plt
imp... | Results_ORB_BagOfWords.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# <!--... | tests/nb_builds/nb_water/04.00-High_Dim_Fittings.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 037_Finetune.ipynb |
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# ## box plot
# * box-and-whisker plot, box-and-whiske... | chapter_1/.ipynb_checkpoints/Pandas box plot-checkpoint.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | kaggle-quora-insincere-question/toxic-comments-code-for-alexander-s-9872-9d324f.ipynb |
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import sys
import numpy as np
import matplotlib.pyplot... | .ipynb_checkpoints/Collocate_two_orbital_satellites_with_sss_all_saildrone-checkpoint.ipynb |
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c... | src/carinfo_plots.ipynb |
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# + [markdown] tags=["remove_cell"]
# # 1量子ビットゲートの合成の基... | i18n/locales/ja/ch-ex/ex2.ipynb |
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# # Convert human 1000 genomes phase 3 data from VCF t... | notebooks/1000-genomes-vcf-to-zarr.ipynb |
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import numpy as np
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imp... | Data_Science_Mathematics_In_class_4.ipynb |
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# ## Python для анализа данных
# ### Домашнее задание ... | 6_Homework.ipynb |
# -*- coding: utf-8 -*-
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# # Factorizations and oth... | introductory-tutorials/intro-to-julia/12. Factorizations and other fun.ipynb |
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# # Link prediction with GCN
# + [markdown] nbsphinx=... | demos/link-prediction/gcn-link-prediction.ipynb |
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# # Homework 7
# ## Due Date: Wednesday, October 25th... | Homework/HW7/HW7.ipynb |
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# # Introduction à la compression d'images
# Nous obs... | Regrouppement-IMAGES_DILLMANN-NDO.ipynb |
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# + [markdown] _cell_guid="aaada6ec-2d46-46de-9b8e-d3b... | Titanic-Analysis-Collide-with-destiny/Titanic Analysis.ipynb |
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# # Beautiful Soup Tutorial
# Como cient... | BeautifulSoup/BeautifulSoup.ipynb |
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# Import libraries
import ee
import geemap
# Create a... | examples/notebooks/nlcd_app.ipynb |
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def insertionSort(A):
for j, value in enumerate(A)... | python/insertionSort/insertion-sort-refreshed.ipynb |
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---
layout: project
title: Project
slu... | project_p.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | binomial.ipynb |
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import builtwith
import whois
import requests
from bs4... | src/webscraping.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="ZDpiolvXjLyK" outputId=... | ProgressML/notebook/Bangkit2021.ipynb |
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require 'daru/view'
Daru::View.plotting_library = :google... | spec/dummy_iruby/Google Charts - Chartwrapper.ipynb |
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# <!-- BEGIN QUESTION -->
#
# This markdown cell shoul... | test/html-output.ipynb |
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# ## 9.4 设置主题样式
#
# 使用Beamer制作幻灯片的一道特色就是有现... | chapter-9/section4.ipynb |
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# # Some badges
#
# In github's notebook view,... | test.ipynb |
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# ## Scoring customer propensity to purchase
# Trainin... | Customer_propensity_to_purchase.ipynb |
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import numpy as np
data = pd.read... | House-price-EDA/House-price-EDA.ipynb |
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import librosa
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | introduction_to_amazon_algorithms/xgboost_abalone/xgboost_inferenece_script_mode.ipynb |
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import boto3
polly = boto3.client('polly')
# Use Ama... | Amazon-Polly/amazon_polly.ipynb |
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# #!/usr/bin/env python
import numpy as np... | 01_INRIX_data_preprocessing_journal18/INRIX_data_preprocessing_07_extract_speed_data_filter_dict_journal.ipynb |
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# # Linear basis function models with PyMC4
# +
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# # Il mio foglio degli esercizi
#
# ## Lezione 1
#
# ... | Lezioni/Esercizi.ipynb |
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import os
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impor... | Animations for Mexico Covid19 official Data.ipynb |
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# # Transfer Learning
#
# Most of the time you won't w... | Transfer_Learning_Solution.ipynb |
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# # Introduction
# in notebook '42. Lipid metabolism-I... | notebooks/45. Lipid Metabolism - II.ipynb |
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from astropy.table import Table, Column
import numpy a... | Data analysis recipes - Fitting a model to data/Section 3 - Pruning outliers/Exercise 6 (jk).ipynb |
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# ## Cardinality
#
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# # Classification
#
# Example coming from... | Auto-SKLearn_AutoML/Classification.ipynb |
# -*- coding: utf-8 -*-
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# # Ejercicio 8
# Alumn... | Ejercicio-8-Blanca-Cano.ipynb |
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# + [markdown] id="W1_-pO-S5d3b"
# # HPC 6.2 Automating the workflow on ARC
... | HPC_6_2_Automating_the_workflow_on_ARC.ipynb |
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# ## Creating CNN Using Scratch And Transfer Learning
... | CNN And Transfer LEarning.ipynb |
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# + [markdown] id="Ic4_occAAiAT"
# ##### Copyright 2019 The TensorFlow Author... | site/en/tutorials/keras/text_classification.ipynb |
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#hide
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! [ -e /conte... | nbs/13_callback.core.ipynb |
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# # Homework 1: Differentiation
# Since it easy to goog... | homework01/homework_differentiation.ipynb |
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# # Assignment 1
# ### Python code to find Mean Media... | 18CSE010-Assignment 1.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | ControlFlow.ipynb |
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import numpy as np
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# # Cowell's formulation
#
# For cases where we only s... | docs/source/examples/Propagation using Cowell's formulation.ipynb |
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# # Prune leaf ROIs in an annotation ontology file wit... | notebooks/Prune_leaf_ROI_wo_VC_in_AO.ipynb |
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# # Processing Multisentence Documents
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# + [markdown] id="U0xpls63SQra" colab_type="text"
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# + [markd... | churn.ipynb |
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# # Exp 106 analysis
#
# See `./informercial/Makefile`... | notebooks/exp106_analysis.ipynb |
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df=pd.read_csv("C:/Users/d3us/Des... | filtrado de datos pandas.ipynb |
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# # Example - Reproject
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# # Python常用内置函数典型用法
# Python中有许多功能丰富的内置函数，本文基于Python... | useful-func/func-handout.ipynb |
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