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# # Lab 3 Exploration: Depth Images
#
# In this notebo... | labs/lab3/lab3.ipynb |
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# <img src="../../../files/refinitiv.png" width... | Examples/2-Content/2.10-Ownership/EX-2.10.01-Ownership-Consolidated.ipynb |
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# # Detrending, Stylized Facts and the Business Cycle
... | examples/notebooks/statespace_structural_harvey_jaeger.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | notebooks/modeling/persistence/persistence_docker.ipynb |
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# <font size="+5">#03. Arboles de Decision</font>
# <... | past program/#03. Arboles de Decision/Notebooks/.ipynb_checkpoints/tarea03-checkpoint.ipynb |
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# # Plot NWCSAF CT data as Matrix
# This is a copy of... | nbooks/17-NWCSAF-CT-plot-for-different-resolutions.ipynb |
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import sys
sys.path.insert(0, "../..")
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impo... | notebooks/logistic regression - SGD/SGD-Levin.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Regression/Polynomial Linear Reg/P4.ipynb |
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# # Introdução
#
# No *site* da CFB
# https://www.infr... | cfb_get_infos.ipynb |
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# # TimeSynth
# #### Get latest version
# %%capture
... | TimeSynthExamples.ipynb |
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# # TelFit head-to-head (*paused*)
# ### Multi-layer a... | notebooks/07_TelFit_tet_a_tet.ipynb |
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# %load_ext autoreload
# %autoreload 2
... | dsexamples/courses/ibm_bitcoin.ipynb |
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# # Barcelona Airbnb 2021
# ## Section 1: Business Un... | airbnb_bcn.ipynb |
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# %reload_ext nb_black
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# %matplotlib inline
impor... | Initial EDA.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | chapter2_KPIs_and_visualisations/ConversionRate.ipynb |
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import networkx as nx
import random
n = 500
p = (... | hw-2/BetweennessCentrality.ipynb |
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name = input("If you had 3 children, what would the ... | codingpart.ipynb |
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# + language="bash"
# curl http://10.9.3.3:8008/lidingk... | ldklib/jupyter_demo/grpc_install.ipynb |
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import pandas as pd
import plotly.expre... | day-2/06-ins_working-with-geo-data/solved/plotting-australian-cities.ipynb |
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# There are 3 types of forms in the eRetrieval for SVO... | 460visualizations/bubblegraph/Viz.ipynb |
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import sys
sys.path.append("..")
import petsi
from ran... | examples/01-Simple loopback.ipynb |
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# coding: utf-8
import sys, os
sys.pat... | ch05/train_neuralnet.ipynb |
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from big_surprise import big_surprise
user_input = [(... | EDA/04_see_if_bulky_function_works.ipynb |
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# check out list words and the apostrophe situatio... | Model/Model_with_twitter_data_embeddings.ipynb |
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# ## Fully Connected Convolutional Neural Network
#
# In this notebook the pr... | reports/sep/notebooks/2.1.2-fcn.ipynb |
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# ### What are the four levels of basket permissions?
... | gs_quant/documentation/06_baskets/examples/07_basket_permissions/0000_get_basket_permissions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HSL_citybikes_predictor.ipynb |
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# + [markdown] id="0l5MuTNOS0ta"
# ![](https://drive.google.com/uc?export=vie... | LasActividadesVanAqui/PIA-Red Neuronal/Modelo_2.ipynb |
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# + [markdown] deletable=true editable=true
# <img src... | notebooks_completos/051-Pandas-Ejercicios.ipynb |
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import os
PROJECT = "PROJECT" # REPLACE WITH YOUR ... | courses/machine_learning/asl/open_project/time_series_anomaly_detection/tf_anomaly_detection_model_selection/model_selection_anomaly_detection_gcp.ipynb |
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import numpy as np
from PIL import Image, ImageDraw, I... | ch8_CAPTCHA.ipynb |
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# # Des succès immédiats
#
# Avec les problèmes à suiv... | 3.control-flow/answers/0.quick-win.ipynb |
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import tensorflow as tf
tf.enable_eager_execution... | tensorflow_test/tf_eager.ipynb |
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import pandas as pd
from sklearn.ensemble import Rando... | Kaggle_learning_Intermediate_Machine_learning.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | W0/W0D5/tutorials/tutorial2.ipynb |
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# # 직사각형 별찍기
# https://programmers.co.kr/learn/cour... | programmers.co.kr/level 1/[Algorithm] programmers_level 1_print star_2021.06.02.wed.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/03_spionske_hry.ipynb |
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import dask.dataframe as dd
from distributed impor... | blogs/coiled-prefect-demo/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CNN_+_LSTM_con_Keras.ipynb |
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# # Exothermic Batch Reactor
# ## Details
# <NAME> (... | PSL2 Assignment 2.ipynb |
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# Packages
from pyomo.environ import *
import numpy a... | SOPF with DR_case39.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Python_fuzzy/Aula_IA_Covid_19.ipynb |
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# # Comparison of the accuracy of a cutting plane acti... | projects/david/lab/experiment_active_diabetes.ipynb |
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# # Evaluation metrics
# ---
#
# _You are currently looking at **version 1.0** of this notebook._
#
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# %matplotlib inline
import n... | metrics/evaluation_metrics.ipynb |
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# + [markdown] colab_type="text" id="ToCsmp1pc1wS"
# <... | code/chapter-5/1-develop-tool.ipynb |
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input_str = [6,True]
# Here 1 represents the day... | Alarm Clock with Test Cases.ipynb |
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# # Padding and Stride
# :label:`sec_padding`
#
#
# In the previous example of :numref:`fig_correlation`,
# our in... | scripts/d21-en/pytorch/chapter_convolutional-neural-networks/padding-and-strides.ipynb |
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# # Machine Translation and the Dataset
# :label:`sec_machine_translation`
#
# We have used RNNs to design languag... | scripts/d21-en/pytorch/chapter_recurrent-modern/machine-translation-and-dataset.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | Jupyter Notebooks/Results.ipynb |
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import pandas as pd
file = "D:\\My Personal Documents... | notebooks/NN - Twitten Sentiment Analysis Challenge - MLP - TFIDF.ipynb |
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# # Lista Prodotti DOP - Unione Europea
#
# La lista d... | Lista_Prodotti_DOP_EU.ipynb |
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# # Kmer Graph
DATE_TASK = "2022-03-06-ecoli-phap... | _research/2022-03-06-ecoli-phapecoctavirus-core-genome-graph.ipynb |
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# # AirBnb Feature Importance Project
# ... | ProductionNotebook_AirBnb_feature_importance_prd.ipynb |
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# <h3>FACTORES</h3>
factor(2^127+1)
log(2^127+1,bas... | 2_Curso/Laboratorio/SAGE-noteb/IPYNB/INTRO/primera-clase.ipynb |
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from keras.models import Sequential
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# # Using dicom2stl.py to extract an iso-surface from ... | server/back/dicom2stl/examples/Isosurface.ipynb |
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# ## Evaluating a Classification Model
#
# In this exe... | Lab03/Classification Evaluation.ipynb |
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# <a href="https://colab... | 05_NLP_Augment/SST_Dataset_Augmentation.ipynb |
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# ## Fern Fractals
import numpy as np
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# 1. Click `PCA-maSigFun` at the menu
#
# 2. select y... | time-course/workflows/SEA/PCA-maSigFun.ipynb |
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import pandas as pd # DateFrame, Series
import num... | Spotify-EDA-DecisionTree.ipynb |
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hpi_url =... | Lesson04/Exercise27.ipynb |
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# <a href="https://colab.research.google.com/github/ht... | C3/W3/ungraded_labs/C3_W3_Lab_5_sarcasm_with_bi_LSTM.ipynb |
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# <a href="https://colab... | Customer_RFMT_Metrics_&_Segmentation.ipynb |
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# # Read and Write file
# !echo "Hello! Welcome to de... | 2020-09-06-python-os-subprocess.ipynb |
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# # Manual Neural Network
#
# In this notebook we will... | study_python/tensorflow/Tensorflow-Bootcamp-master/01-Neural-Network-Basics/Manual Neural Network.ipynb |
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# Imports
from matplotlib import pyplot as plt
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# # Recognizing hand-written d... | sklearn/sklearn learning/demonstration/auto_examples_jupyter/classification/plot_digits_classification.ipynb |
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# Coding begins now!!!
# 1) Define the environment re... | A-star/a-star.ipynb |
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# # Video Actor Synchron... | Step3.AnalyseData.scipy.ipynb |
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# *This notebook contains mat... | notebooks/04.00-Introduction-to-Folding.ipynb |
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#import packages
import pandas as pd
import numpy ... | jupyter/timeseries-1.ipynb |
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# TODO: clean this up
sys.path.insert(0, "/Users/d... | dqo/datasets/groom.ipynb |
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# <a href='http://www.holoviews.org'><img src="assets/... | notebooks/08-deploying-bokeh-apps.ipynb |
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import numpy as np
from scipy import signal
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# # The MIT License
... | sample.ipynb |
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#
# # GLM Analysis (Simulated)... | examples/mne-nirs-website-examples/auto_examples/general/plot_10_hrf_simulation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Setup code:
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# # Setup
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import numpy as np
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# + colab={"base_uri": "https://localhost:8080/", "hei... | tensorflow/day3/practice/P_03_05_iris_multi_classification_retrain.ipynb |
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# visual confirmation of ICs
# get 30 ICs
import ... | codes/devel/PD_Marker/fig1_ADIC_in_local.ipynb |
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# <img src="https://s3-ap-southeast-1.amazonaws.com/he-public-d... | Day 5/Classical Support Vector Machines.ipynb |
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# + [markdown] lc_cell_meme={"current": "a9c2e890-495a... | D01_GCE - Set! Go! (Google Compute Engine).ipynb |
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# # WeightWatcher GPT
#
#
#
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#
# __Description__: Cal... | notebooks/fluvial/SSP_to_Mean_Curve.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# %autore... | analysis_code/2021-02-19_plot_case_study_paper.pub.ipynb |
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from tensorflow.keras imp... | BCNcode/1_pressure pulsation signal/1250/TRANSMITTER NO.2/CNN/CNN_1250-Q=350.ipynb |
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import re
s = '<EMAIL>, <EMAIL>, <EMAIL>'
result = r... | notebook/re_findall_finditer.ipynb |
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# ## Heading
print("O<NAME>")
a=5
b=2
a**b
a//b
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# + id="YHWCIX5PnBk0" colab_type="code" colab={}
# !pip install datadotworld
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