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import Bank as bank
class Main:
b... | Bank_uppg/Bank_uppg.ipynb |
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# + [markdown] id="SJ3haQZWn_pX"
# ## Software Engineering Practices
# + [ma... | Software_Engineering_Python_Practices.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment6_Bayking.ipynb |
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from datetime import timedelta as delta
from os im... | documentation/20.08_MakeMaps/particlesrun_fwd_MITgcm4km_unbeaching.ipynb |
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# Imports
import numpy as np
import pandas as pd
... | notebooks/machine_learning_algorithms/4a-Regression-Verify-Assumptions-for-Selection-of-Algorithm(s).ipynb |
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# <h1>NikTrans</h1>
#
# Python script to create Nikola... | posts/niktrans.ipynb |
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# # 程序中的文档
# 你在调用函数的时候，你像是函数这个产品的用户。
#
# 而你写一个函数，像是做一... | p2-2-docstrings.ipynb |
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# <!--
#
# author: <NAME>
# created: 18 Aug 2016
# l... | Introduction_to_Jupyter_Notebooks_and_Python_Modified.ipynb |
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# ## Text Similarity using Word Embeddings
#
# In this... | notebooks/03.1 Using pre trained word embeddings.ipynb |
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# generate toy data label 3, 2 features
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from ... | .ipynb_checkpoints/generate_data_toy1_simple-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | 03-clasificacion-texto/2245_RN20202Q_Texto_Parra.ipynb |
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# Create a sequence distributi... | docs/auto_examples/plot_sequence_distribution.ipynb |
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# # Analyzing wind and stress measurements from IRGASO... | irgason_stress_20191121.ipynb |
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# ## Rows : 55-123,141
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import pandas as pd
import numpy as np
t... | WEEK 6 (Project)/cleaning_test.ipynb |
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4... | Chapter 1 - Building Abstractions With Procedures/1.1 - Elements of Programming.ipynb |
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# name: python38364bitpytorchconda70fdc7f787194f4c972bb3207dd25917... | chapter-generative-adversarial-networks/PR1308.ipynb |
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## Line Graph
year = [1950, 1951, 1952, 1953, 1954... | Intermediate_Python_For_Data_Science/Line Chart.ipynb |
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# <table align="left" width="100%"> <tr>
... | silver/D04_Order_Finding_Algorithm_Solutions.ipynb |
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import matplotlib.pyplot as plt
... | scripts/SIR.ipynb |
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# name: python3710jvsc74a57bd0f8af005c6536e801c34ed1a329b6361f501640... | 2 - Upgraded Sentiment Analysis.ipynb |
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import matplotlib.pyplot as plt
# %matplo... | notebooks/Lucy Richardson Deconvolution.ipynb |
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# + [markdown] cell_id="00001-bcb75845-52fd-40a7-aae6-... | notebook.ipynb |
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# # Residual Networks
#
# Welcome to the second assign... | 4- Convolutional Neural Networks/course-materials/Week 2/ResNets/Residual+Networks+-+v2.ipynb |
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# # CS5293 Spring 2020 Project 2
# ## By <NAME>/
# ##... | text_summarizer.ipynb |
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# # Triangular Mo... | Python_Stock/Technical_Indicators/TRIMA.ipynb |
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# ### Naver Rest API
# - 통합검색어 트렌드 api
# - 파파고 번역 api
... | etc/crawling/200626_api_naver.ipynb |
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# + active=""
# .. _example_basic:
#
# .. currentmodul... | doc/examples/basic_run.ipynb |
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# # Plagiarism Detection Model
#
# ... | Project_Plagiarism_Detection/3_Training_a_Model.ipynb |
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# # 8.1 FGSM 공격
#
# 정상 이미지와 노이즈를 더해 머신러닝 모델을 헷갈리게 하는 이... | 08-Hacking-Deep-Learning/01-fgsm-attack.ipynb |
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# + [markdown] jp-MarkdownHeadingCollapsed... | practice/day5/answer/3.aihub.ipynb |
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# # Worksheet 1
#
# First worksheet for COMSM0075 Info... | worksheets/worksheet-1.ipynb |
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# # Data Preparation
# ## Importing Data ... | Data Analyst Project - Business Decision Research.ipynb |
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# # Working with Text Data
#
# > Status: **STABLE**
#
# Frictionless supports loading textual data
#
# ## Reading Text Data
#
# You can read T... | docs/build/working-with-text/README.ipynb |
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import pandas as pd
import numpy as np... | src/Notebooks/Dimensionality_Reduction_Non_Contextual_Temporal.ipynb |
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#This is the Richmond USGS Data g... | HURDAT_JRDISCHG-Ione 1955.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter_5_Image_Classification.ipynb |
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# # Neural Nets with Keras
# In this notebook you wil... | 01_neural_nets_with_keras.ipynb |
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# <div style="width:900px;background:#F9EECF;border:1p... | __Project Files/.ipynb_checkpoints/FeatureSelection_withoutclass-checkpoint.ipynb |
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# %pylab inline
matplotlib.rcParams['figure.figsize']... | 20211003/table.ipynb |
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# %matplotlib inline
#
# # Scale Way
#
# Set legend t... | docs/_downloads/cde8aecaf34a6578746784bac955ae8a/plot__scale_way.ipynb |
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# ## Summary: Three ways to do SVD in python
# **The... | SVT/res/Three ways to do SVD in python .ipynb |
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# # Introduction to Python
#
# In this session, we're ... | content/materials/notebooks/intro_to_python.ipynb |
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import... | MLCONF2021/SIR.ipynb |
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# ## Load Data
# -
... | myscripts/sample/Senzing101.ipynb |
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# default_exp data.core
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# hide
import sys
sys.pa... | nbs/03_data.core.ipynb |
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# # Introduction to Seaborn
#
# ## About the Da... | ch_06/1-introduction_to_seaborn.ipynb |
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# # NNabla by Examples
# This tutorial demonstrates h... | tutorial/by_examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 4noviembre.ipynb |
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train = pd.read_csv("../../dat... | notebooks/main/4.aggregation_exploration.ipynb |
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# # Working with Tables
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# When working wi... | 01_Working with Tables.ipynb |
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# # Deploying Machine Learning Models on GCP Kubernete... | notebooks/kubectl_demo_gcp.ipynb |
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# # Mathematically Formalizing the Conviction Voting A... | algorithm_overview.ipynb |
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# Creator Name: <NAME>, <NAME>, <NAME>
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# Licensed under the MIT License.
#
# Copyright (c) 20... | code/queen_lotus/lgbm_baseline.ipynb |
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# ##Tirmzi Analysis
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# + papermill={"duration": 1.734567, "end_... | experiments/cnn_2/oracle.run2/trials/4/trial.ipynb |
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# ## Trajectory equations:
# %matplotlib inline
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# + id="g1Crjf89r-g8" colab_type="code" colab={}
import numpy as np
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# + [markdown] id="Tce3stUlHN0L"
# ##### Copyright 2020 The TensorFlow Author... | site/en/guide/autodiff.ipynb |
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# <img src="Logo.png" width="100" align="l... | 1. Data cleaning.ipynb |
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# # Week 6
#
# Phew. Is it week 6 already?
#
# Last w... | lectures/Week6.ipynb |
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# Erasmus+ ICCT project (2018-1-SI01-KA203-047081)... | ICCT_hr/examples/04/SS-28-Promatrac_za_sustav_masa_opruga_prigusivac.ipynb |
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# # Project 1: Trading with Momentum
# ## Instructions... | project1/.ipynb_checkpoints/project_1_starter-checkpoint.ipynb |
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# # Stats about Train / Dev / Test sets
# +
... | nb_data_analysis/datasets_for_ml.ipynb |
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# # Reinforcement Learning: Double Deep Q ... | Week1/4_DQN_Torch.ipynb |
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# <a
# href="https://colab.research.google.com/github/LearnPythonWithRune/FinancialDataAnalysisWithPython/blob/main/colab/starter/06 - Simpl... | Financial Data Analysis With Python/colab/starter/06 - Simple Calculations - Volatility, SMA, and EMA.ipynb |
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# # Converting BEL graphs into inputs for GAT2VEC.
#
#... | notebooks/BEL2Gat2Vec.ipynb |
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# + [markdown] colab_type="text" id="punL79CN7Ox6"
# ##### Copyright 2020 The... | courses/udacity_intro_to_tensorflow_for_deep_learning/l09c05_nlp_tweaking_the_model.ipynb |
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# # 3. CNN
# ## Run name
# +
import time
project_na... | digit-recognizer/3. CNN.ipynb |
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# # Deploying a Lookup Analytic in the B... | LookupAnalytic.ipynb |
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# + language="javascript"
# MathJax.Hub.Config({
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# # Limpieza de datos
#
# Vamos a aplicar el [checklis... | curacion/notebooks/03-importando_datos.ipynb |
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# # The DFT: Numerical Aspects
#
# In this notebook we... | week3/DFTprecision.ipynb |
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# ### Exercise 1.3: Build a Linear Regression model to... | Chapter01-Python_Overview_and_Main_Packages/Exercise1.03.ipynb |
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from __future__ import print_function
import getpass
i... | notebooks/Monitoring-Nvidia-GPU.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Mathematical Basis
#
# This section summarizes the basic knowledge of linear algebra, differentiation, and probability required to underst... | book-d2l-en/chapter_appendix/math.ipynb |
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# # How to draw a *scatter* plot with folium
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# + [markdown] colab_type="text" id="p9FfatPz6MU3"
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# # Chapter-9 Standard Libraries
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# ## YAML mask
#
# We can also a set of De... | docs/notebooks/12_YAML_mask.ipynb |
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import inspect
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# ## Exercise 1:
#
# - consedering the fol... | exercices/python_oop.ipynb |
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# # e-periodica: accessing metadata and fulltexts
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# # Cleaning Data
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import glob
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# <a href="https://cognitiveclass.ai/?utm_me... | PY0101EN-5.3_Requests_HTTP.ipynb |
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# # Forecasting with HCrystalBall forecaster
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# Import our libraries
import pandas as pd
import nump... | Work in Progress/Outlines.ipynb |