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# %load_ext autoreload
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import ipyrad
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# + [markdown] colab_type="text" id="zZavc... | Data-Science-Portfolio-master/Python/Directing_Customers_to_Subscription_Through_App_Behavior_Analysis.ipynb |
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# # Scraping using BeautifulSoup, Pandas, and Requests... | Analysis_Code/mission_to_mars.ipynb |
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import pandas as pd
import numpy as np
from dateti... | codes/A05_OntarioTorontoOttawaCovid19_run05.ipynb |
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import spacy
nl... | src/NLP_visualization/Dependency Parsing 依存句法可视化.ipynb |
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from sklea... | week5/day2.ipynb |
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# ### Best Time to Buy and Sell Stock II
# + active="... | 122. Best Time to Buy and Sell Stock II.ipynb |
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# +
q = 1679810873101583228494080414223173390988918... | src/curve_bn254/sage_scripts/Fq6.ipynb |
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# + [markdown] id="s3iu_wRpS8xc"
#
# #... | LABS/LAB1/Lab1.ipynb |
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# name: python38-azu... | sdk/jobs/automl-standalone-jobs/automl-classification-task-bankmarketing/automl-classification-task-bankmarketing.ipynb |
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# # Basic Usage
#
# This tutorial walks through the ba... | notebooks/Basic_Usage.ipynb |
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import pandas as pd
import numpy as n... | VettingFlares/FFDs_vs_Davenport.ipynb |
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# # Activity 7.01
# Import the Libraries
from keras.models... | Chapter07/Activity7.01/Activity7_01.ipynb |
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# # Tensorflow Multi-GPU VAE-GAN implementatio... | VAE-GAN-multi-gpu-celebA.ipynb |
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# <h1 align=center>Naive Bayes</h1>
#
# <p><code>Naive... | Classification/Naive Bayes/ML0101EN-Naive Bayes.ipynb |
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# # Amazon SageMaker
# # <a name="0">Sample Note Boo... | classification/credit_card_clients classifier/credit-card-clients-classifier.ipynb |
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# + id="jJPIig7DM95P"
# from google.colab import drive
# drive.mount('/conten... | Mask_or_No_Mask.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | 02-Text-Classification-Project.ipynb |
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import sys
# !{sys.executable} -m pip install --user... | WordCloud.ipynb |
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# # Data Quality Analysis
# This notebook ... | Task_1/KPMG_VI_New_raw_data_update_final.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# %matplotlib inline
import numpy as np
import matplot... | notebooks-spanish/14-complejidad_modelos_busqueda_grid.ipynb |
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# # Using the `inferelator_view` module
#
# The `jp_do... | notebooks/misc/inferelator/Using the inferelator view module.ipynb |
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# # General Implementation of Grover Over Limited Sear... | Grover with W state GitHub.ipynb |
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# ## Logistic Regression with L2 Regularization
impor... | Logistic Regression L2Regularization.ipynb |
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import pandas as pd
import numpy as np
from os import ... | Section 10/Decision trees using python.ipynb |
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# # Bus
#
# Este bus tiene un sistema de control de su... | 01-intro-101/python/practices/03-bus/bus.ipynb |
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# # Centerloss
# Centerloss is a loss that can minimiz... | assignment1/Extra.ipynb |
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# + id="V8JDmA21FffQ" colab_type="code" outputId="978af748-2c21-4e6e-c480-141... | Elliptic Curve Cryptography August 2020/ECC Reponse Example.ipynb |
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# # Instructions
#
# To start, go to Kernal -> 'Restar... | wallet-query.ipynb |
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# ## A model build using TweetBERT to identify cause-e... | Cause-effect-identification.ipynb |
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import numpy as np
import pandas as pd
impo... | shallow-nn/model-2a-lsf.ipynb |
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# + [markdown] id="9yj_fpKmg-6P"
# This notebook contains data preparation pi... | BookRecommendations/data_preparation.ipynb |
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# # gapminder
# ## Author Information
#
# **Name**: <... | README.ipynb |
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# # Problem 2
x = int(input("Value is "))
y = int(inp... | Wednesday lab practice-Problems.ipynb |
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# # V-Type Three-Level: 0.5π Sech Pulse, 1.5π Coupling... | docs/examples/mbs-vee-sech-0.5pi-1.5pi.ipynb |
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# # Duplicate Zeros
#
# Giv... | Duplicate-Zeros.ipynb |
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# # Bitcoin Battle Royale - Getting started (Python 2 ... | notebooks/feature_analysis.ipynb |
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# # MARIO GAME
# <img src='./img/ejercicio1.png'>
# ... | Modulo2/Ejercicios/Problema1.ipynb |
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# ## Activity 5.1: Storefront location associations
i... | Chapter05/Ch05 Activities v0.1.ipynb |
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# ### Implementing a Priority Queue ###
#
# #### Probl... | data structures & algorithms/5.ipynb |
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# hash: 7d6993cb2f9ce9a59d5d7380609d9cb5192a9ded... | assignment/assignment1/assignment_one.ipynb |
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# # Part 6 - Utility functions for the map... | guide/10-mapping-and-visualization/part6_utility_functions_for_the_map_widget.ipynb |
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# # DLVC 2017
# # Tutorial 4 : PyTorch for Deep Neural... | Notebooks/4_PyTorch for Deep Neural Networks.ipynb |
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# launch XVFB if you run on a server
import os
if type... | week9_policy_II/seminar_TRPO_tensorflow.ipynb |
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# %matplotlib inline
import numpy as np
import mat... | 3_Model_Validation_Optimization_exercises.ipynb |
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# + [markdown] deletable=true editable=true
# <img src... | notebooks/linear-regression.ipynb |
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# # Handwritten dataset
# +
# %run "../config/local.i... | notebooks/datasets/handwritten_dataset.ipynb |
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# # Groupby and Pivot Tables in Python
import pandas ... | _notebooks/2021-05-18-groupby_pivot.ipynb |
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# %matplotlib inline
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# Copyright <NAME>/Attribution-NonCommercial 4.0 Inter... | MySQL_exercises/.ipynb_checkpoints/MySQL_Exercise_02_Selecting_Data_Subsets_using_WHERE-checkpoint.ipynb |
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import holoviews as hv
hv.extension('bokeh')
import n... | lectures/2_statistical_modeling/part3.ipynb |
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def allInOne(path):
import pandas as pd
impor... | evaluation/notebooks/hops/p2-allInOne-topologyZoo.ipynb |
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# # Table of Content <a id='toc'></a>
#
#
# &nbs... | Intro_to_stats_in_life_sciences/04_correlation_and_regression.ipynb |
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# # ローカルにあるデータをフィーチャ レイヤーとして公開する
#
# ArcGIS Developers... | samples/1.Create published Service from my local.ipynb |
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# Original Demo: https://github.com/keras-team/ker... | notebooks/demos/MNIST MLP Using Optimizer.ipynb |
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# # Two qubits
# +
import numpy as np
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# # Transpiler Passes and Pass Manager
# ## Introduct... | tutorials/circuits_advanced/04_transpiler_passes_and_passmanager.ipynb |
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import os
# filenamesjpgs.txt contains a list of ... | Archive/TF_VERSION_MASKRCNN/datasets/ellipse/defectextraction/Data3TypesYminXminYmaxXmax5/mislabeled_files_remover.ipynb |
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# Import Package
import math
import numpy ... | Main.ipynb |
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# # Linear Regression
#
# By <NAME> and <NAME>
#
# Thi... | Examples/.ipynb_checkpoints/Linear Regression Example-checkpoint.ipynb |
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# # Counterfactuals guided by prototypes on Boston hou... | examples/cfproto_housing.ipynb |
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# ### Import packages
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# %matplotlib inline
impor... | jupyter/Skills_histogram.ipynb |
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# # MEGSIM experimental and si... | 0.16/_downloads/plot_megsim_data.ipynb |
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# + [markdown] colab_type="text" id="eulv... | homeworks_advanced/Lab1_NLP/Lab1_NLP_part1_Embedding_based_MT.ipynb |
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# <a href="https://colab... | 1_autompg_pands_info.ipynb |
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# # Rome, Italy
# **Source of original dataset:** htt... | dataset_curation/rome.ipynb |
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# + deletable=true editable=true
import random
def wel... | chapter2/homework/computer/5-10/201611680672_test8.ipynb |
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# # Downsample Document Vectors
#
#
from cord.core import DO... | job-notebooks/04-downsample-document-vectors.ipynb |
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import json
import datetime
import... | model/3_1_weather_data_to_BIM.ipynb |
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using SciPy
using PyPlot
# # polynomial
x = coll... | examples/odr.ipynb |
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# # Solscan Llama Python API Tutorial
# T... | examples/notebooks/.ipynb_checkpoints/Solscan API Tutorial-checkpoint.ipynb |
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# + id="x68NLyOxMw88"
from collections import Counter, OrderedDict
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import numpy as np
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# Librerías
from selenium import webdriver
from seleni... | Untitled.ipynb |
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# # Timeseries of zonal means from NetCDFs
#
# This no... | doc/examples/ZonalStatsNetCDF.ipynb |
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# Confinement continue, 10% port de masque
like_before... | examples/Untitled.ipynb |
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# # Introduction to numpy
# Numpy is a package tha... | day2/numpy-intro.ipynb |
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# # Getting Financial Data - Pandas Datareader
# ### ... | 09_Time_Series/Getting_Financial_Data/Solutions.ipynb |
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import numpy as np
# # 5. 오차 역전파법
#
# 앞 장에선 기울기를 수치 ... | ch05/Ch.05.ipynb |
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from __future__ import absolute_import, division, ... | datasets/fashion-mnist-visualization.ipynb |
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import pyNN.nest as p
p.setup()
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# + [markdown] id="view-in-github" colab_type="text"
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# author=cxf
# date=2020-8-8
"""
file for sett... | model_training/1.cutoff_setting/run1/90%_cutoff_setting.ipynb |
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# # MNIST
#
# Vous allez maintenant utiliser les fonct... | mnist.ipynb |
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# L... | module1-regression-1/LS_DS_211.ipynb |
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# <h1><center> <font color='black'> Business Data Anal... | Lab11_enlik.ipynb |
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# # Python for Psychologists - Session 2
# ## Homework... | session2/Session2_Assignment_solutions.ipynb |
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# Importing libraries
import pandas as pd
def recommen... | book_rec.ipynb |
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# Use python 3.7+
import numpy as np
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# # Univariate Probability
# In ... | docs/content/probability/1_univariate_prob.ipynb |
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# + [markdown] colab_type="text" id="dcQ6l8DrzJad"
# ##### Copyright 2020 Goo... | docs/qaoa/tasks.ipynb |
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# # Filters
#
# [![open_in_colab][colab_badge]][colab_... | notebooks/05 - Filters.ipynb |