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# # Lab 1: Quantum Computing Operations and Algorithms... | notebooks/summer-school/2021/lab1.ipynb |
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# # Imports
#
# We use *io* for byte IO streaming, *ca... | notebooks/Synthetic data generation demo.ipynb |
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import pandas as pd
import numpy as np
from flask imp... | notebooks/exploratory/0.4-jlawton-logware3-exploration-with-flask-sqlalchemy.ipynb |
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import keras
import tensorflow as tf
print... | ethnicolr/models/ethnicolr_keras_lstm_wiki_ln.ipynb |
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# + id="w_6GmnEWZntb"
import numpy as np # linear alge... | Amazon_stock_prediction_model.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # L... | 01-Lesson-Plans/19-Supervised-Machine-Learning/1/Activities/05-Ins_Logistic_Regression/Solved/Ins_Logistic_Regression.ipynb |
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# # The Seats-Votes Curve in a Single Election
#
# *<NAME>... | notebooks/01 - Seat-Vote, Rank-Vote, & Single Elections.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | .ipynb_checkpoints/mnist-digit-classification-by-tensorflow-b2055443-14b1-4923-b369-f9d038824a44-checkpoint.ipynb |
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# -*- coding: utf-8 -*-
import numpy as np
import ... | Tasca_1.ipynb |
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import numpy as np
# +
# More Data Types
# -
# Cas... | Ch1/SciPy_NumPy/Ch_1_3_3_More_Elaborate_Arrays.ipynb |
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# ## Plot pre-projected data defined in PDEF
# **12 Ap... | notebooks/Plot preprojected data defined in PDEF.ipynb |
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# # Simple RNN
#
# In this notebook, we're going to tr... | recurrent-neural-networks/time-series/Simple_RNN.ipynb |
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import pandas as pd
messages=pd.read_csv("SMSSpamColl... | Spamclassifier.ipynb |
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import pandas as pd
import numpy as np
import matp... | CSMOM.ipynb |
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# nam... | notebooks/Micro-and-Macro-Implications-of-Very-Impatient-HHs-Problems.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Join_and_Reshape_Data.ipynb |
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num = int(input("Enter a number to generate its patter... | Class-Exercise-I- PeseAlo.ipynb |
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# Importing pandas and setting the option to see all t... | data_cleaning.ipynb |
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# # 一、构建数据集和图像预处理
# +
import... | Deep-Learning-and-Dicom-Viewer/LDCT/Dataset.ipynb |
# # Sample Code
#
# Run this script. Edit it and make it your own.
# +
# measurements.py
"""
Functions to calculate distance between points using different metrics.
"""
import numpy as np
def crow(pointA, pointB):
"""
Distance between points A and B "as the crow flies."
pointA = (x1, y1)
poin... | measurements.ipynb |
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# # carnd_t3_p1_path_planning_project
#
# [//]: # (Ima... | README.md.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | point_cloud.ipynb |
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# ## Part 2: Checkouts, Branching, & Merging
#
# This ... | docs/Tutorial-002.ipynb |
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# # Table of Content
# 1. Introduction of Tool
# 2. F... | sandbox/dynamic/Dynamic_analysis.ipynb |
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# ## Learning Objectives:
#
#
# 1. Selection via index... | module_4_pandas/indexing_&_subsetting_dataframe.ipynb |
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from scipy import stats, optimi... | notebooks/.ipynb_checkpoints/grant_plot_nb-checkpoint.ipynb |
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# # **Traffic Sign Recognition**
#
# ## Writeup
#
#
#... | writeup report.ipynb |
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# name: python37564bitvoicenetvenvvenv... | other-files/Gender Recognition using Voice.ipynb |
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# # PS Orthotile and Landsat 8 Crossovers
#
# Have you... | jupyter-notebooks/crossovers/ps_l8_crossovers.ipynb |
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# ### <font color = "darkblue">Updates to Assignment... | Neural networks and deeplearning/Planar_data_classification_with_onehidden_layer_v6c.ipynb |
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# # Feature engineering on NCAA data
#
# Domain knowle... | blogs/ncaa/ncaa_feateng_solution.ipynb |
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# + [markdown] nbsphinx="hidden"
# This notebook is pa... | doc/usage.ipynb |
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# + [markdown] id="8a7EldJxII_3"
# # Abstract
#
# This no... | notebooks/DCGAN_rectangular.ipynb |
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import warnings # python运行代码的时候，经常会碰到代码可... | ensemble_Chinadata.ipynb |
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# # PS 88 Lab 4: A Warm Fuzzy Theory of Co... | lab/lab4/PS88_lab4_cooperation.ipynb |
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using yinsGraph
include("sampler.jl")
include("r... | notebooks/RandomTrees.ipynb |
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# ## TensorFlow Intro
# ### Dependencies
#
# ```
# co... | tensorflow/intro_to_tensorflow.ipynb |
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# ! wget http://www.hobieco.com/linked_images/H18-Magn... | PhotoTest.ipynb |
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# IMPORTANT: must add the "%matplotlib notebook" for n... | Matplotlib_Code-Drills/day-01/02/.ipynb_checkpoints/Day-01_02_solved-checkpoint.ipynb |
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# ### Preamble
# +
import pandas as pd
import numpy a... | examples/Schema_demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 3_Object_Detection_and_MOT_tutorial.ipynb |
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# Chapter 9 of [A guided tour of mathematical ... | 09_Stokes.ipynb |
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addprocs(7)
@everywhere begin
using NetworkD... | notebooks/Evaluate Heuristic.ipynb |
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# # The purpose of this notebook is to test out differ... | old files/Test Notebook.ipynb |
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# # Orbit Homework
#
# <NAME>
#
# +
# Configure Jupyt... | code/orbit_homework.ipynb |
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import pickle
import pandas as pd
i... | model_notebooks/_archive/DBSCAN_test.ipynb |
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import sys
sys.path.append('/user/ms5941/NLP')
f... | Regular LDA Runs/Regular LDA - Inflation.ipynb |
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# %matplotlib inline
import xarray as xr
import cartop... | prepare_rgi_summary_table.ipynb |
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# ## Decision Tree
# ---
#
# ### Purity
# - **Target:... | Decision Tree & Random Forest.ipynb |
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# # Advanced Feature Engineering
# ## Statistics and ... | advanced_feature_engineering/advanced_feature_engineering.ipynb |
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# # Sweeping Parameters
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# *Mod... | chapters/chap04.ipynb |
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# + id="PQFFW6WMUi8-" colab_type="code" colab={}
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impo... | notebook/08_SLIC_and_Contours.ipynb |
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# # Modelling of the impact of social tracing apps: a ... | model.ipynb |
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# hash: aa12e81bb39beeca05898a... | Regression/WineQualityPrediction/winequality.ipynb |
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# # Cavity Detection ... | CADET_example_colab.ipynb |
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import pandas as pd
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import matplotl... | Code/Day3/Multiple_Linear_Regression.ipynb |
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from nltk.toke... | CH2/2-1)tokenization.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | assignments/c1-w2/c1-week2.ipynb |
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# %matplotlib inline
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from copy impo... | fast_slam.ipynb |
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import pandas as pd
import numpy as... | PCA.ipynb |
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import numpy as np
import pandas as pd
from pa... | l6/Lecture 34 - Pivoting.ipynb |
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# # Time
# ## Time structure and local time string
i... | test/py_time_test.ipynb |
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# # Using gradient hidden states on regression
# ## P... | notebooks/14.02_hidden_states_gradient_regression.ipynb |
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# # Color Threshold, Blue Screen
# ### Import resourc... | 1_1_Image_Representation/3. Blue Screen.ipynb |
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# # **1. Handout Part3**
# ## **1.1. Introduction**
# ... | handout3.ipynb |
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# # U-Net for multi-class semantic segmentation
#
# Fi... | notebooks/networks/run_multiCatNetwork_V2.ipynb |
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# +
# %load_ext autoreload
# %reload_ext autoreload
# ... | intro-glove/LFS_ContinousSpace_one_by_one.ipynb |
# -*- coding: utf-8 -*-
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# title: Facility Lo... | notebook/modelling/facility_location.ipynb |
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# ## Deploy and perform inference on ML Mod... | aws_marketplace/using_model_packages/generic_sample_notebook/A_generic_sample_notebook_to_perform_inference_on_ML_model_packages_from_AWS_Marketplace.ipynb |
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# These are the libraries that we use.
# + tags=["out... | binary_decision_tree.ipynb |
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# # Connecting content with JupyterHub and Binder
#
# ... | docs/old_docs/features/interact.ipynb |
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# ## Multi-generation climate model inter-comparison
#... | notebooks/var_skill_scatter_plot_avc.ipynb |
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# # Testing Navier-Stokes ... | examples/Basic Navier-Stokes.ipynb |
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# ============================... | doc/_build/html/_downloads/plot_credit_default.ipynb |
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import pandas as pd
import numpy as np
dataset = pd.r... | 6_distribuicoes_estatisticas/z-score_knn.ipynb |
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# + [markdown] id="8-oXiSGwTFGJ"
# ##Task 2 Apply algo... | LAB-4/069_04_02.ipynb |
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# #
# ## Abstract:
#
# In this notebook... | _build/jupyter_execute/content/notebooks/isa-metabolomics-study-design-create.ipynb |
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# ## Format GEOJSON
# Dernier format de données que n... | 1_les_donnees_structurees_et_leur_traitement/activites/02_Le_format_GEOJSON.ipynb |
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# # Region Based Data Analysis
# The following notebo... | notebooks/.ipynb_checkpoints/XGBoost_region_analysis_cortex_striatum-checkpoint.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/Tours.ipynb |
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# # Bolsa de valores
# Prevendo o volume de ações uti... | Data_Science/Economia/PETR4-Indicadores.ipynb |
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# ### 数据解析
# Import required libraries
from tpot imp... | Baseline_train_fenlie1.ipynb |
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# ## 0. Import Packages
import sympy
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# # Plots y visualización de los datos
import pandas ... | notebooks/T1 - 3 - Data Cleaning - Plots.ipynb |
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# + id="d1S1dk6ie07E" executionInfo={"status": "ok", "... | Lab2/crvargasmscottsanderson.ipynb |
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# # Bite Size Bayes
#
# Copyright 2020 <NAME>
#
# Lice... | 06_pmf_my_soln.ipynb |
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# This example shows how to use a `GridInducingVariati... | examples/kissgp_kronecker_product_classification.ipynb |
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# x_new = x - alpha * gradient(x)
import numpy as np
... | 2020_2021/live/05_gradient_descent.ipynb |
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# ## Draft Bot Version 1 Exploration
# ### J&T
#
impo... | Draft Bot Exploration.ipynb |
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# + id="rVKzWm1PRmaD"
# Importing all the required libraries
import numpy as... | stock-price-prediction.ipynb |