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# + id="copyright"
# Copyright 2020 Google LLC
#
# Licensed under the Apache ... | ai-platform-unified/notebooks/unofficial/gapic/automl/showcase_automl_image_classification_online.ipynb |
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# Test your code with this notebook; replace your own ... | Week11/Color_Mixing_Example/test_code.ipynb |
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# # d6tstack with Dask
#
# Dask is a great library for... | examples-dask.ipynb |
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import numpy as np
from keras.models import Model
from... | notebooks/layers/convolutional/ZeroPadding2D.ipynb |
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# do oversampling
import numpy as np
import pandas as ... | competition/BaggingClassifier.ipynb |
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# + [markdown] id="7ivmxKvQCfTG"
# # **Importing necessary library**
# + id=... | data_mining/lpps/data_preprocessing/outlieranalysis/analysisandregression.ipynb |
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# # L06: Pruning Decision Trees in Scikit-... | 06-decision-trees/code/06-trees_pruning.ipynb |
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# + [markdown] id="BZPSH4VkK7J2"
# 欢迎来到HanLP在线交互环境,这是一个Jupyter记事本,可以输入任意Pytho... | plugins/hanlp_demo/hanlp_demo/zh/tutorial.ipynb |
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# # Notebook to process output from thecontentmine
#
#... | notebooks/resolvre_and_check_resources.ipynb |
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# # Performance optimization exercise 1
# Optimiz... | Day2/3a_exercise_optimization1.ipynb |
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# + [markdown] id="view-in-github" cola... | python_ds4b/06_sql/02_select_statements.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> ErrorBars Element</... | examples/reference/elements/matplotlib/ErrorBars.ipynb |
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# + [markdown] id="WdDeRs8nwsse" colab_type="text"
# <b><h1>Data Types and Op... | Day_1_Data_Types_Operators.ipynb |
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#Automated reloading of custom modules... | Figures.ipynb |
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# # Clustering
# ## Load data
# Four objects ... | clustering.ipynb |
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# # Duel of sorcerers
# You are witnessing an epic bat... | duel/duel.ipynb |
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# + [markdown] id="1-TOAriPHRIu"
# > Note: KNN is a memory-based model, that ... | notebooks/reco-tut-itr-03-modeling-collaborative-knn.ipynb |
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# # Purpose: To implement the code for Stable Count Th... | scripts/SCT_thresholding.ipynb |
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# # Find if a string is made of unique characters
# ##... | CTCI/c1.ipynb |
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import matplotlib.pyplot as plt
im... | condolences.ipynb |
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import turicreate as tc
import os
# Change if applica... | Untitled.ipynb |
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# <td>
# <a target="_blank" href="https://labelbox.... | examples/basics/labels.ipynb |
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# # 텐서(Tensors)
# > 2.2.1 장에 해당하는 코드
#
# 해당 챕터에서는 파이썬... | 01-tensor.ipynb |
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import requests
import datetime
def rain_warning(pre... | 10/homework_10.ipynb |
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# # 0.0.IMPORTS
# +
import math
import datetime
impo... | n07_v01_store_sales_prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | result/Fq_prediciont.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
# %... | notebooks/.ipynb_checkpoints/Marketing-checkpoint.ipynb |
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import numpy as np
import matplotlib as mtp
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# + run_control={"frozen": false, "read_only": false}
... | notebooks/driver/Drive_md2mc.ipynb |
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# # Análisis de cambio climático
# ## Introducción
#
... | .ipynb_checkpoints/Data Analysis-checkpoint.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | docs/notebooks/AzureSentinelAPIs.ipynb |
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# # Now You Code 4: Email Harvest Training
#
# Let's t... | content/lessons/07/Now-You-Code/NYC4-Email-Harvest-Training.ipynb |
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# # **Chapter 03 시계열 모델링**
# 정상정 **(Statio... | stock-books/03-Timeseries.ipynb |
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from numpy.linalg... | subjects/diffusion maps/Diffusion Maps 02.ipynb |
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# + [markdown] id="GG3_2HyRVY4Y" tags=["header", "comm... | integrations-and-supported-tools/altair/notebooks/Neptune_Altair_Support.ipynb |
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# # 编译序列重要采样
#
# **Compiled Sequential Importance Samp... | tutorial/source/D07-csis.ipynb |
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# # Network Intrusion Detection
# %matplotlib inline
... | final.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"in... | notebooks/features/responsible_ai/Interpretability - Tabular SHAP explainer.ipynb |
# -*- coding: utf-8 -*-
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# In this notebook, we com... | examples/Controlled_Invariant_Sets/Planar_System_bounded_univariate_control_centered.ipynb |
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# %run "Common setup.ipynb"
from SALib.analyz... | notebooks/5a EASI Analysis.ipynb |
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planeta = 'Marte '
gravedad = 0.00143
nom... | Kata_4_2.ipynb |
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import glob
from stempy import io, image
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# # SQL Reference
# ## Functions
# ### Aggr... | docs/blazingsql/sql_reference/functions/aggregators.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Multi_Class_Classification_using_Brainwave_Dataset.ipynb |
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# # Problem Set
#
# "For the things we have to learn ... | chapter01_crashcourse/chapter-one-problem-set.ipynb |
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import pandas as pd ###hist_600###
import ma... | section_sensor/lidar_600.ipynb |
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import numpy as np
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students_perfo... | notebooks/1.4.ipynb |
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# # Exercise 1: Simple Inference
#
# In this exercise,... | Lab_Exercise1.ipynb |
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# # mmdcornea
# Cornea cells marking.
# ## Descriptio... | notebooks/dcorneacells.ipynb |
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import ipytest
import ipytest.magics
import pytest... | tests/notebooks/test_2.3-process-places-raw-data.ipynb |
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import igraph
import glob
import copy
import netwo... | Degree_Country.ipynb |
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# # Nexa And Time Series
# So this is a brief show on ... | presentations/.ipynb_checkpoints/2015-august-checkpoint.ipynb |
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# # <NAME>
# ## Convex Optimization - Prof. Morand
# #... | Homework/DaigleMaxCD.ipynb |
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rm = visa.ResourceManager()
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from sklearn.ensemble import RandomForestClassifier
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import pandas as pd
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# ## Example 1 (簡單線性回歸)
# 先從簡單的線性回歸舉例,.ipynb |
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# + id="copyright"
# Copyright 2020 Google LLC
#
# Licensed under the Apache ... | ai-platform-unified/notebooks/official/custom/sdk-custom-image-classification-online.ipynb |
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addpath('../');
cat = rgb2gray(imread('../pictures/cat.jp... | Linear Filters and Convolution/demo/hybrid_images.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Transfer_Learning_using_TensorFlow_with_the_cats_and_dogs_dataset.ipynb |
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# # CÁLCULO DIFERENCIAL E INTEGRAL
# # FUNCIONES Y S... | CALCULO 101 LECCION 4 COMPUTO DE LIMITES.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
p... | docs/source/notebooks/model_averaging.ipynb |
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# # Language Identifier Using Word Bigrams
# Based on... | 2-3-Language-Identifier-Using-Word-Bigrams.ipynb |
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#default_exp medical.imaging
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# # Medical Imag... | nbs/60_medical.imaging.ipynb |
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# # PostgreSQL in Python using SQLAlchemy
#
# ## The O... | 01day02_database/postgresql-example.ipynb |
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// name: apache_toree_scala... | Lab Assignment.ipynb |
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# Standard imports
# +
# Some fairly standard modules... | sandbox/TryingNaive.ipynb |
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from rdkit import Chem
from syba.syba impo... | prediction_and_selection/My_score_to_final_structures.ipynb |
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# # Introduction to Deep Reinforcement Learning
# Book... | P1-C2-FrozenLake_splippery-agent_follows_good_plan.ipynb |
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# # Analyse datasets in Timbuctoo-instances
# %%captu... | resourcesync/tim02.ipynb |
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# # BIO101 Epidemiology Assignment
# ### By <NAME> an... | DataScience/COVID_SIR/COVID_Logistic_Regression.ipynb |
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from PIL import Image
import pytesseract
import argpar... | 2 Code/image transformation/Malawi/Malawi.ipynb |
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import os, warnings
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#IMPORT SEMUA LIBARARY
# -
#IMPORT LIBRARY PANDAS... | jupyter/BLOOMBERG/SektorKeuangandanPerbankan/script/SektorKeuangandanPerbankan1_1.ipynb |
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import numpy as np
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# # Machine learning models – Exercises
#
... | workshop/lessons/08_ml_matminer/unit-3-exercies.ipynb |
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# title: "What Is The Probability An Economy Class Seat Is An Aisle Seat?"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "What Is The Probability An Economy Class Seat Is An Aisle Seat?"
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# # Case Study: Analysis of a Double Pipe ... | _build/jupyter_execute/notebooks/01/04_case-study.ipynb |
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import math
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# ## Kort introduksjon til jupyter noteboo... | jupyter/introduksjon/Introduksjon.ipynb |
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from bqplot import Pie, Figure
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# # SARS strains and proteins co-occurence
# ## Proto... | antigen_scoring/notebooks/SARS_proteins_co-occurence.ipynb |
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import numpy as np
i... | notebooks/membership_inference_attack.ipynb |
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# # 1. Using FEMDA in a sklearn.pipeline
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# # Qcodes example with Ithaco
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# # %matplotlib nb... | docs/examples/driver_examples/Qcodes example with Ithaco.ipynb |
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ft= input()
ft=int(ft)
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# # utils
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import vectorbt as vbt
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