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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
dataframe = pd.read_csv("archives/vehiculos.csv"... | Machine Learning/k_vecinos.ipynb |
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# # Component Graphs
#
# rayml component graphs repres... | docs/source/user_guide/component_graphs.ipynb |
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# + [markdown] tags=[]
# # Cross-Validatio... | notebooks/01-cross-validation.ipynb |
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import pandas as pd
import numpy as np
# %matplot... | Notebooks/Securities Level Data/Label_Securities_v3_USE_Data_Validation.ipynb |
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def gcd(a, b):
"""Calcular el mayor d... | tarea_21/fraccion_irreducible.ipynb |
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# %matplotlib inline
# %load_ext autoreload
# %aut... | notebooks/demo_circles.ipynb |
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# #!/usr/bin/env python
# vim:fileencoding=utf-8
i... | 03_RNN_mean_squared_error/32_RNN_Brownnoise_NHKRadio(mean_squared_error).ipynb |
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# ### Point annotations
# %matp... | tests/integration/Annotations.ipynb |
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# Este breve tutorial explica alguna de las herramient... | tutorial.ipynb |
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# # Bus
#
# This bus has a passenger entry and exit co... | bus/bus.ipynb |
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# + [markdown] colab_type="text" id="HicMAaNSY1G4"
# #... | Exercises/Exercise_2_Control_Flow_Solutions.ipynb |
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# # MaD - Macromolecular Descriptors
#
# This notebook... | MaD_notebook_instructions.ipynb |
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import os
import json
# ### This function is used to... | preprocessing_tweets.ipynb |
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# ## <div style="text-align:center;"><b>Or... | Ordinary Differential Equation.ipynb |
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# ## Applied Data Science Capstone Assignment 2 : Segm... | Week 2 - Segmentation and Clustering of Neighborhoods in Toronto_Part 3.ipynb |
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import networkx
import numpy as np
import matplotlib.p... | BBVA/Analyzing power law.ipynb |
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import numpy as np
import matplotlib.pyplo... | Microscopy/ImageJ_75um-200C_anaylsis.ipynb |
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# # A very short introduction to Linux
# This lecture... | notebooks/01-Linux.ipynb |
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from shapely.geometry import LineString, Polygon, Poin... | scripts_and_notebooks/notebooks/Subsampling_Diagram_Figure_4.ipynb |
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# # Table of Contents
#
# <div class="alert alert-bloc... | Waffle Charts.ipynb |
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# # Evaluating 2015-2018 Model on 2019 data
import ma... | 11_realtime/evaluation.ipynb |
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# Beberapa bagian yang paling penting di Jupyter Noteb... | content/id/courses/pystat/.ipynb_checkpoints/Jupyter-checkpoint.ipynb |
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# <h1>Slicing Arrays</h1>
import numpy as np
my_vect... | numpy-data-science-essential-training/Ex_Files_NumPy_Data_EssT/Exercise Files/Ch 3/03_01/Finish/Slicing.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | gen_threshold_and_multidescriptor_plot.ipynb |
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import tkinter
from tkinter import messagebox
def ma... | Tkinter-GUI & Pygame.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | notebooks/Setting up and Problem Solving in Python - with a DS Bias.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Kaggle/.ipynb_checkpoints/Titanic-checkpoint.ipynb |
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# ## Contents:
#
# 1. Lists - Creation, deletion, leng... | 04. Python - Common Data Structures in Python.ipynb |
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# # TQDB API 範例 (Python版)
# 首先我們自定義連結TQDB取出報價資料的函數
# *... | for_ipython/QnP_WTX.ipynb |
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from os import makedirs
from os.path import join, ... | datasets/versioning/cough-detection/coswara/v1.0.ipynb |
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# # Training a model with `traffic_last_5min` feature
... | notebooks/building_production_ml_systems/labs/4a_streaming_data_training_vertex.ipynb |
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import keras
keras.__version__
# # Understanding recu... | 6.2-understanding-recurrent-neural-networks.ipynb |
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import numpy as np
import pandas as pd
import csv
im... | Zoe_Final_Lab4.ipynb |
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x<- rnorm (100,0,1)
y<- runif(100,min=0,max=1)
df <- data.frame (x=sort... | Lab4_R/RExercise3.ipynb |
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from IPython.core.display import Image
Image('https://... | content/post/jupyter/.ipynb_checkpoints/academic-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # G... | Geochron_Calculations_SrRb.ipynb |
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# # Weath... | 06-Python-APIs/HW/Instructions/starter_code/WeatherPy.ipynb |
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# # First BigQuery ML models for Taxifare Prediction
#... | quests/serverlessml/02_bqml/solution/first_model.ipynb |
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# # Set and Booleans
#
# There are two other object ty... | others/resources/python/intro-to-python-jupyter-notebooks-master/7-Sets and Booleans.ipynb |
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import cv2
import matplotlib.pyplot as plt
# ## Load... | .ipynb_checkpoints/Traditional-checkpoint.ipynb |
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# # Temporal association in assymetric neural networks... | notebooks/2018-03-22(Sompolinsky Draft).ipynb |
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import numpy as np
import matplotlib.pyplot as... | Model_Evaluation-Iris.ipynb |
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import sys
sys.path.append("..") # Adds higher directo... | notebooks/16_logistic_regression.ipynb |
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# # Getting familiar with the API using Python
#
# In ... | notebooks/APIpython.ipynb |
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# # Sparse Autoencoder
#
# 當在訓練一個普通的 `autoenoder` 時，如果... | notebooks/6_Sparse_Autoencoder.ipynb |
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import pandas as pd
import numpy as np
import pickle a... | workbooks/.ipynb_checkpoints/plot_data-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 05_14_Image_Features.ipynb |
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# <a href="https://colab... | notebooks/2019si_activaton_functions.ipynb |
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# + jupyter={"source_hidden": true}
import itertools
... | gs_quant/content/events/00_gsquant_meets_markets/01_ideas_for_risk_re_rating/fx_covid19_recovery_trade.ipynb |
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# # Programming in 209 #
#
# In 209 we won't require y... | IntroToPython.ipynb |
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# ## Calculate correlation between NEMO an... | code/analysis_notebooks/correlation_stats.ipynb |
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# # For dentro de For
#
# Quando temos listas dentro d... | Arquivo aulas/Modulo 6/MOD6-Aula6(listaauxiliar).ipynb |
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# # Metrics
# - measuring different phases
# - panda: ... | code/04_metricsML.ipynb |
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#As seen from the results below, this table is unw... | milestones/Milestone_2/data/scripts/DataParser.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | 3-qm/WorkedExample.ipynb |
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# # Mask R-CNN - Inspect Custom Trained Model
#
# Code... | inspect_custom_model.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | DCDFTDTVIR.ipynb |
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# # Fully Convolutional Watershed Distance Transform f... | notebooks/training/featurenets/Watershed Transform 2D Fully Convolutional.ipynb |
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# # Direct Search Optimiser (unlabell... | docs/examples/rule_optimisation/direct_search_optimiser_unlabelled_example.ipynb |
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# # Alternative Models
#
# This notebook considers... | techniques-and-models/w03-07d-alternative-models.ipynb |
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# In this notebook, we demonstrate how to:
#
# 1. reproje... | notebooks/change_detection/ALOS1_Borreal_Forest_Quebec/1 - Rename and Reproject Time Series.ipynb |
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# + language="javascript"
# require.config({
#... | standalone/devel/tabs.ipynb |
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# You are given an integer N. Can you find the least p... | Mathematics/1. fundamentals/17. special multiple.ipynb |
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# + [markdown] heading_collapsed=true
# # Imports
# +... | scripts/SegmenterTraining.ipynb |
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import matplotlib.pyplot... | filtros.ipynb |
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from sklearn.mo... | Ensembling methods/Stacking.ipynb |
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# Given a string s, find the length of the longest substring without repeatin... | leetcode/longest-substring-without-repeating-characters.ipynb |
try:
import openmdao.api as om
import dymos as dm
except ImportError:
# !python -m pip install openmdao[notebooks]
# !python -m pip install dymos[docs]
import openmdao.api as om
import dymos as dm
# # Variables
#
# An Optimal Control problem in Dymos consists of the following variable types.
#
... | docs/features/phases/variables.ipynb |
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#default_exp examples00
# -
#hide
#test_flag_cola... | 05_tests.ipynb |
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# # Bus
#
# This bus has a passenger entry and exit co... | bus/bus.ipynb |
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from ipywidgets import interact, interactive, FloatSli... | notebooks/em/TDEM_Groundedsource.ipynb |
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# # Create a Web Application for an ETF Analyzer
#
# I... | Starter_Code-7/etf_analyzer.ipynb |
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imp... | genetic_algorithm/.ipynb_checkpoints/GA_final_version_testing-Emulator-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n", "is_executing": false}
... | dev/first_sketch/dev-8.ipynb |
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# ### confusion matrix
# $= \begin{bmatrix}TP & FN \\... | machine_learning/datascienceschool/0402-preview3.ipynb |
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# %pylab inline
import pandas as pd
import numpy ... | data/mRNA_233x_data/.ipynb_checkpoints/RegenerateFigure5_posthoc-checkpoint.ipynb |
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# ## dash_oil_and_gas
# #### show the use of dashapp i... | dashapp/dash_oil_gas.ipynb |
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# #!/usr/bin/env python3
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C... | autoencoder/SeisAutoEncoder.ipynb |
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# + [markdown] id="PZtRtMMUZHJS" colab_type="text"
# ##### Copyright 2020 Goo... | colab/mnist_tensorflow.ipynb |
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# + colab={} colab_type="code" id="5_wAO3emXGhe"
def s... | code/chapter09_computer-vision/9.9_semantic-segmentation-and-dataset.ipynb |
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# %matpl... | 05-Matplotlib/1/Activities/04-Stu_LegendaryTemperature/Solved/legendary_temp.ipynb |
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# # Decision trees and machine ... | 1.Spotify_ML_fundamentals_decision_tree/ML_fundamentals_decision_tree.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RIP_Nature_Results.ipynb |
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# # Solubility of common salts ... | tutorials/molality_salts_ambient_temperatures.ipynb |
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# Copyright 2021 Google LLC
# Use of this source code is governed by an M... | book1/figures/chapter19_figures.ipynb |
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# # Jacobian vs. Perturbation
# Visualizing and Unders... | visualize_atari/jacobian-vs-perturbation.ipynb |
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# imports
import pa... | PyViz Homework Rental Analysis.ipynb |
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# # Python
1+2
#
10-5
2*6
''' hi there
'''
x = ... | Data-Science-HYD-2k19/.ipynb_checkpoints/Day 1 - 10 (Classwork)-checkpoint.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/training/using-environments/using-environments.ipynb |
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# + [markdown] colab_type="text" id="D7QLH_oKs5mw"
# ... | Arvind/Introduction to Dataframes and Creating Dataframes.ipynb |
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# # Final Homework & In Class Assignment
# ### This w... | hw/hw08-abpwrs/HW8.ipynb |
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# ## Notebook for producing vOTU table from raw sequen... | 200420_python_notebook_processing_SPRUCE_data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HW5.ipynb |
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# # Compare Compute Time for Tensor Density
MAX_EPOCH = 5
RANK = 2
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# # Python graphics: Matplotlib fu... | Code/notebooks/bootcamp_graphics_s17_UG.ipynb |