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import csv
lines = []
with open('titanic_train.c... | Chapter04/Activity13/Activity13.ipynb |
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# ## Accept / Reject Monte Carlo
import numpy as np
i... | _site/content/distributions/accept-reject.ipynb |
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# # Ordinary Differential Equations (ODEs)
# I... | docs/_sources/Chapter_5/ODEs.ipynb |
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# # 1. Introduction
# Reference <a href='https://data-... | Speech Emotion Recognition.ipynb |
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... | qc/qiskit/0_start_coding_with_qiskit.ipynb |
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# %load_ext autoreload
# %autoreload 2
import sys
impo... | Example_Notebooks/Preprocessing_Example.ipynb |
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import numpy as np
from bqplot import Figure, LinearSc... | examples/basic.ipynb |
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# # Predict Acute Oral Systemic Toxicity ... | main.ipynb |
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# + id="zdAGT7bN9zYd" colab_type="code" colab={}
import tensorflow as tf
from... | Implementation/Image_Classification/Inception/Inception_v3_2.ipynb |
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# # AWS Data Output Processing
# The following code d... | notebooks/AWS_data.ipynb |
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# # Homework
# Equation of a line: $... | 01.Python Crash Course/Python-Crash-Course-Homework/PythonHW.ipynb |
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# # Convolutional Neural Networks Exercise... | solutions/6 Convolutional Neural Networks Exercises Solution.ipynb |
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# #!/usr/bin/env python3
import math
import numpy ... | BertFineTunning.ipynb |
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# Programación para *Data Science*
# =================... | MasterDegreeDS/first_semester_2019/Fundamentals/module_2/notebook_module_2_spanish.ipynb |
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# Copyright 2010 <NAME> <EMAIL>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | examples/notebook/contrib/langford.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module2/.ipynb_checkpoints/Module2 - Lab4-checkpoint.ipynb |
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# # AdaGrad(Adaptive Gradient)
#
# AdaGrad是2011年发表的一种亚... | ipynbs/appendix/optimizer/3. AdaGrad and Adadelta.ipynb |
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# # Ordinary Least Squares on Time
#
# [▲ Overview](0.... | notebooks/4.0-Linear-model.ipynb |
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from sklearn.datasets import load_digi... | Chapter_5/Section_5.4.1.ipynb |
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# # Pertemuan 6
# # Operator and Method Overloading
# ... | Pertemuan6.ipynb |
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# Pooling is a useful tool to decreas... | P19_Pooling/Pooling.ipynb |
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# + id="s6eq-RBcQ_Zr" colab_type="code" colab={}
try:
# # %tensorflow_versi... | Tensorflow/TensorFlow In Practice/Course 4 - S+P/S+P Week 2 Lesson 1.ipynb |
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# # Find areas with no SEZ, SEZ Buffer Met... | notebooks/ericbusboom/0302 No Sez SEZ Buffer.ipynb |
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import matplotlib.pyplot as plt
from matplotlib import... | concepts/PyStockDataAnalysis2.ipynb |
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# # Repositórios de fontes online e a pesquisa digital
#
# <small>Material para o Encontro Virtual 3, 10/11/2021, referente à [semana 5 do cur... | cclhm0069/_build/jupyter_execute/mod2/sem5_ap.ipynb |
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# + slideshow={"slide_type": "slide"}
# define univers... | w3/w3-26 fs futures bb trade intraday.ipynb |
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# # Protea Gather
#
# ## Aim
#
# Using ... | jupyter-lab-environment/workspace/protea/protea_gather.ipynb |
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import numpy as np
import pan... | ReplaceBracsSpaces.ipynb |
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# # Minecraft Shape Game
#
# 
# language: python
# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 00_quickstart/04_Detect_Bias_Class_Imbalance.ipynb |
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# # DEMO Notebook
# <h2>Using imexam inside a ... | aas229_workshop/Tutorial_Notebooks/imexam/imexam_ds9_example.ipynb |
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# # Pulled Momentum Data for All Injury Plays
# ## Ini... | notebooks/Momentum_Analysis.ipynb |
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import torch
import torch.nn as nn
import matplotlib.pyplot as plt
class Generator(nn.Module):
def __init__(self):
super(Generat... | test.ipynb |
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# # Extension Guide
#
# Frictionless is built on top of a powerful plugins system which is used internally and allows to extend the framework.... | docs/build/extension-guide/README.ipynb |
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# # The rate of change of atmospheric CO$_2$ (32 point... | week12_assignment/Week12_Assignment_CO2_change.ipynb |
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# # Inserting implicit hydrogens ...
# ## ...and mappi... | AtomNameAssignmentSample.ipynb |
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# Copyright (c) Facebook,... | docs/tutorials/fit_simple_neural_radiance_field.ipynb |
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# + [markdown] cell_id="00000-e16... | Notebook Guide.ipynb |
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# # Mixed Membership Stochastic Blockmodel (MMSBM)
# +
import graspologic
i... | docs/tutorials/simulations/mmsbm.ipynb |
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#To be run on JASMIN only, designed for the CMIP6 ... | notebooks/esm_zonalwind_control.ipynb |
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# visualization libraries
import matplotlib.pyplot... | notebooks/pypge_play.ipynb |
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# # Basic imports
import pandas as pd
# # Reading th... | .ipynb_checkpoints/CV_FirstModel-checkpoint.ipynb |
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# ## Audio to Text Converter
import speech_recognitio... | notebooks/audio/AudioConverter.ipynb |
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# # INFO 7374 Machine Learning in Finance
# ## Instal... | AmazonStockAnalysis-main/KalmanFilter.ipynb |
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# # Exploring Text Data (2)
#
# ## PyConUK talk abstra... | notebooks/02 pyconuk_exploratory_analysis.ipynb |
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For push operation:
1) Create newNode
2) newNode.n... | 11 Stacks/11.3 Stack Using Linked List.ipynb |
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# # Using functions to reduce code repetition
#
# This... | notebooks/DRY_example.ipynb |
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# <img src="https://annotation.github.io/text-fabric/i... | chapters/Chapter 23 - Corpus Analysis with Text-Fabric.ipynb |
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# ## 🦀 Delete all services
#
# ---
#
# Finally Let's ... | 0N - Aiven - Delete Services.ipynb |
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# ## The zip method
# The `zip` method is very useful... | Chapter 1/14. Challenge Day/zip and lambda.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# [Ta... | 01_basic-python/05_classes.ipynb |
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# %load_ext autoreload
# %autoreload 2
import sys
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def expenditure(height, weight, age,m... | archive/BMR_calculation.ipynb |
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# + _uuid="d629ff2d2480ee46fbb7e2d37f6b5fab8052498a" _... | VGG16_Modified/fer-vgg16.ipynb |
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# # Data Science and Business Analytics Internship
# ... | Task-2 - Prediction using Unsupervised ML/Task - 2.ipynb |
# -*- coding: utf-8 -*-
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# + [mar... | PowerShellUserGroup-2021-02-04/PowerShell_and_Microsoft_Graph.ipynb |
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# # Introduction
# > "In many ways it’s the ultimate ... | notebooks/01-introduction.ipynb |
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# Biopython library
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# # Jupyter like a pro
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# In this third notebook of t... | week1/jupyter-tutorial/3--Jupyter like a pro.ipynb |
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# ## Attempt to locate ca3 sessions by the presence of... | notebooks/theta_power.ipynb |
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# ### Note
# * In... | HeroesOfPymoli_starter.ipynb |
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import numpy
from keras.models import Sequential
from ... | LSTM.ipynb |
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# # Búsqueda binaria
# Algoritmo de complejidad de ti... | Notes/Algoritms/Binary_Search.ipynb |
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# # Reddit Flair Detector
#
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# ## Part II - Exp... | notebooks/Exploratory Data Analysis.ipynb |
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# # Seaborn: ecdfplot
import seaborn as sns
from matp... | 24_ecdfplot.ipynb |
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import numpy as np
from math import *
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A0 = 10 ** ... | FM_undergraduate/Mortgage_Cal.ipynb |
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# + [markdown] colab_type="text" id="pmU5YUal1eTZ"
# _... | module2-join-datasets/LS_DS_122_Join_datasets.ipynb |
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# # Lab 01 : Cross-entropy loss -- exercise
# For Goo... | codes/labs_lecture04/lab01_cross_entropy/cross_entropy_exercise.ipynb |
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# # Convolutional Neural Networks - Soluti... | exercises/07-convnets/convnets_Sol.ipynb |
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# + executionInfo={"elapsed": 3608, "statu... | facereq.ipynb |
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# # day08: Evaluating Binary Classifiers
#
# # Objecti... | labs/day08_EvaluatingBinaryClassifiers.ipynb |
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# + [markdown] state="normal"
# # Lab 08: Circ... | CS331/Lab 08 CircQueue - 13 Aug 2019 19_30PM.ipynb |
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# # Exploration
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import numpy as np
import pandas ... | HolmesTopicModels/holmes_topic_models/notebook/1_Exploration.ipynb |
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import pickle
import cobra
import numpy as np
f... | me_biomass/script_archive/find_media_conditions_to_alleviate_auxotrophy.ipynb |
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# # Dueling Network Architectures
# > ???
#
# - branch... | _notebooks/2020-04-20-dueling-network-architectures.ipynb |
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# ## Distributed ResNet T... | sagemaker-python-sdk/mxnet_gluon_cifar10/mxnet_cifar10_with_gluon.ipynb |
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# # The Mesh
#
#
# The finite element mesh is a fundam... | docs/user_guide/02_TheMesh.ipynb |
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# # Quasi-crystals
# ## Generalizing beyond the obviou... | docs/source/Quasicrystals.ipynb |
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'''How detection efficiency impacts the fidelity o... | Detection Efficiency effects.ipynb |
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# # Module 1: BAG Workflow Demo
# Welcome to the BAG t... | workspace_setup/tutorial_files/1_flow_demo.ipynb |
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# Plotly is a library that allows you to create intera... | Exercises - Qasim/Python. Pandas, Viz/Exercise 24 (Plotly and Cufflinks) - answer Q.ipynb |
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import pandas as pd
# amy's list
files = ["../../zq-s... | query/pandas_queries.ipynb |
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# # Computer Vision Nanodegree
#
# ## Project: Image C... | 0_Dataset.ipynb |
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# # modified the following files before using this not... | Notebooks/DeIdHope.ipynb |
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import pandas as pd
import numpy as np
df = pd.read_c... | IDAO Work.ipynb |
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import pandas as pd
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import seab... | notebooks/contributivity_method_comparison.ipynb |
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# # JSON exercise
#
# Download the data fr... | w2/w2-Day_3/.ipynb_checkpoints/JSON_exercise_CLONED-checkpoint.ipynb |
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# # 从零学习爬虫 Crawler from scratch
#
# > 运用Jupyter Notebo... | index.ipynb |
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# ### Overview
#
# This project is about the Bayesian ... | doc/src/Bayesian/.ipynb_checkpoints/Presentation-checkpoint.ipynb |
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import numpy as np
np.__version__
np.ones((3, 5), dty... | python-data-science-handbook/numpy/numpy.ipynb |
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# In this analysis we want to explore how ... | One Time Deposit.ipynb |
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# ## Problem Statement - Normal Distribution
#
# The m... | foundation/applied-statistics/class_material_day_2/SM3 - Normal Distribution Example - Salaries.ipynb |
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# + [markdown] id="W6b4RUiYnhSt"
# ### Welcome to the functorch tutorial on J... | notebooks/colab/jacobians_hessians_colab.ipynb |
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# # SymPy: Open Source Symbolic Mathematics
#
# This n... | 001-Jupyter/001-Tutorials/003-IPython-in-Depth/examples/IPython Kernel/SymPy.ipynb |
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# # k近邻算法
# KNN是通过测量不同特征值之间的距离进行分类。它的思路是：如果一个样本在特征空间中... | knn/knn-basic.ipynb |
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# # Binary classification, results
#
# Using Wisconsin... | notebooks/.ipynb_checkpoints/results classification-checkpoint.ipynb |
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# + [markdown] id="L7AVBCFdVeO6" colab_type="text"
# https://rockt.github.io/... | Colab Notebooks/20191023_einstein_summation.ipynb |
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# # Simple linear regression
# You are given a re... | Part 1 - Regression/1. Simple Linear Regression/Simple Linear Regression Flat Price Prediction.ipynb |