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# # Gráficos con PlotLy
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import plotly.plotly as p... | My notebooks/T10 - 3 - Plotly para dibujar.ipynb |
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# # Advanced Wrangling With... | practice-exercises/chapter9-wrangling-advanced-practice.ipynb |
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import re
import requests
import time
from collect... | monster.ipynb |
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# # Introduction to scheduling
#
# In this notebook, w... | notebooks/13_scheduling_tuto.ipynb |
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# + id="cUz96moIedm6"
import os
train_set_dir = "trai... | bird鸟类识别.ipynb |
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# ## Importing the necesssary Libraries
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import pa... | codeworks/Capstone_Final_Code_Book.ipynb |
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// # ES6: Next Gen Jav... | es6_demo.ipynb |
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# # [LEGALST-123] Lab 21: Neural Nets
#
# In this lab,... | labs/21_Neural Nets/21_Neural_Nets_solution.ipynb |
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import os
import random
import numpy as np
import ... | E1-Random-2.ipynb |
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# <blockquote>
# <h1>Exercise 9.5</h1>
# <p>We... | Chapter09/Exercise05/9_5.ipynb |
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# # Chapter 2: Processing data for machine learning
#
... | Chapter 2 - Data Processing.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# Sve... | notebooks/SU-2015-3-VjerojatnostStatistika.ipynb |
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# # Allele-Specific Expression
#
# RNA sequencing can ... | 0925_estimation/06_allelic_expression.ipynb |
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import pandas as pd
import numpy as np
from sklearn.pr... | estudo/exercicios-ML/.ipynb_checkpoints/kaggle-project-classification-glass-checkpoint.ipynb |
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# # Introduction to programming 2
# <NAME> and <NAME>... | prog_workshop2/prog_workshop2.ipynb |
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import tensorflow as tf
import numpy as np
imp... | playground/gaussian/cholesky.ipynb |
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import numpy as np
from keras.datasets import imdb... | C-LSTM.ipynb |
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# # McsPyDataTools Tutorial for files from MCS Headsta... | McsPyDataNotebooks/McsPy-Tutorial_IMU.ipynb |
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# # The numpy.random package
# 
# +
cars=100... | Mod04-Python/ClassNotes/Day1.ipynb |
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# # Assignment A5
#
# ### Name: <NAME>
# ### ... | Sem5/A5_31229.ipynb |
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# # Continuous Control
#
# ---
#
# In this notebook, y... | Continuous_Control.ipynb |
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# ## Naive Bayes
#
# Naivni Bayesov klasifikator spada... | 05-naive-bayes-sentiment/05-naive-bayes-sentiment.ipynb |
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% + magic_args="Machine Learning O... | week6.ipynb |
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# ## Record Audio
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import wave
import keras
import... | record_audio.ipynb |
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#
# ============================... | plots/timeline.ipynb |
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# # Commands
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# jupython --venv st-venv ~/notebook... | experiments/notebooks/tfidf-focus.ipynb |
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# + [markdown] origin_pos=0
# # Documentation
#
# + [markdown] origin_pos=1 tab=["mxnet"]
# Due to constraints on the length of this book, we... | scripts/d21-en/mxnet/chapter_preliminaries/lookup-api.ipynb |
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# Description: Plot Figure 5 (Depth-averaged spect... | plot_figs/fig05/fig05.ipynb |
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df_crypto... | crypto_code_clean.ipynb |
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# 
# # Python Basics
#
# **<NA... | practice-exercises/chapter1-basics-practice.ipynb |
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from scipy.misc import imread
f... | pp_10fold_lin_signet_mcyt.ipynb |
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using MacroTools: striplines
usin... | src/proto.ipynb |
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import pytraj as pt
import nglview as nv
traj = p... | nglview/tests/notebooks/send_message.ipynb |
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import edward as ed
import num... | mixed_effect_logit_model_in_python.ipynb |
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'''
series:
index
unstack
dataframes:
index.names = ..... | python/udemy-data-analysis-and-visualization/lecture24_pandas_index_hierarchy.ipynb |
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# ## Funções de tratamento da lista de equipamentos
d... | Funcoes_GETS.ipynb |
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# # Calrep Example
# An example of using the pyMez fun... | Documentation/Examples/jupyter/Calrep_Example.ipynb |
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# # VEuPathDB Data Report
# Reports f... | veupathdb/files/data_inspect/Data_Report.ipynb |
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import pandas as pd
crimeandweather = pd.read_csv... | .ipynb_checkpoints/linear_regression_analysis-checkpoint.ipynb |
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# + id="WH88rWSeQYS2" colab={"base_uri": "https://loca... | Lab13/Simulated_Bot_Trading_on_Binance.ipynb |
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import Plots
x = linspace(0, 10, 200)... | plot.ipynb |
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# + [markdown] id="42HlF4-2ryb7"
# # Lists, Tuples and... | 3. Data Structures/Lesson3_Slides.ipynb |
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# ## Observations and Insights
# +
# Observations & ... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# + [markdown] _uuid="a8f9622945156d6337ba73c481da2de7... | 8- How to solve Problem/A Data Science Framework for Elo/Statistical Analysis for Elo .ipynb |
# -*- coding: utf-8 -*-
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# # Paquetes
#
# Julia tie... | notebooks/old_jupyter/08.Paquetes.ipynb |
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# # Plotting data with matplotlib
#
# Matplotlib is a ... | scicomp-master/notes4_matplotlib.ipynb |
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# ## Open a CSV file using Pandas
import pandas
df = ... | notebooks/Data.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | examples/dsp/Cepstral Analysis and Homomorphic Processing.ipynb |
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# ### III a) Markov Chain Manipulations 8 CP
# +
impo... | ExampleExam.ipynb |
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import json
import re
import sentencepiece as spm
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# %cd ../..
import ROOT
import numpy as n... | jupyter-notbooks/melpVis/melpVis_testing_old.ipynb |
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# + _execution_state="idle" _uuid="051d70d956493feee0c6d64651c6a088724dc... | final-submission.ipynb |
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# # Sensor Modeling
# This tutorial demonstrates how ... | tutorials/python/notebooks/Sensor Projection.ipynb |
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# # REGex Software Services
# - **Machine Learning and... | Assignment 3 - Data Structures and Algorithms.ipynb |
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x_data = [[1,2,3], [2,2,3], [3,2,3], [4,2,3], [5,2,3],... | model_evaluate_selection/train_test_split.ipynb |
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# # FLIR JSON to PVOC XML Annotations
import os
impor... | FLIR_to_PVOC.ipynb |
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# # Predictors of arsenic content in goundwater
# The ... | Arsenic1_simple_models.ipynb |
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# # 10 minutes to gators
# %load_ext autoreload
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# # Reading a network from CSV
#
# You can read a network f... | notebooks/2.4. Reading CSV data.ipynb |
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from pprint import pprint
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import pandas as pd
data = pd.read_csv("titanic.csv")... | Modeling+Cleansed+Data+-+Decision+Tree.ipynb |
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# ### 라이브러리 호출
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import numpy a... | Chap3_1_dashboard_sales.ipynb |
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# # Find the local minima of the function y=(x+5)² sta... | Day73_Gradient Descent.ipynb |
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#... | Python_Stock/Time_Series_Forecasting/Stock_Forecasting_PMARIMA_Simple_Auto_Arima_Model.ipynb |
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# # Project 7: Explanatory Data Analysis & Advanced V... | Project_07_Materials/.ipynb_checkpoints/main-checkpoint.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | doc/Programs/JupyterFiles/Examples/Intro to ML Examples/Diabetes.ipynb |
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# # Exploratory Data Analysis - 1
# +
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# # CatBoost Baseline
# This notebook is being created... | dora/models/Previous Baselines - Probably Leaked/CatBoost Baseline.ipynb |
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# ## CS231n Numpy Tutorial
# + deletable=true editabl... | CS231n Numpy Tutorial.ipynb |
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import matplotlib.pyplot as plt
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# %... | wk01/03/hw03.ipynb |
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# # Day 2: Diving into Pandas
#
# <img src=... | day-2/day2-Solutions.ipynb |
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import sys
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import mdtraj as md
traj = md... | afep/test/test_binding_space.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="BH6KaGyIyEHB" outputId=... | Candidate Elimination Algorithm/CEA_Car.ipynb |
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# + [markdown] run_control={"frozen": false, "read_onl... | notebooks/water_intake_profile_calculator.ipynb |
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# # Task 4
# ### - Hyperparameter Tunning with Spark ... | notebooks/Milestone3/Milestone3-Task4.ipynb |
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# # Une histoire de tiroirs
# > Parties de même somme ... | _notebooks/2020-08-18-tiroirs.ipynb |
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# + [markdown] _uuid="8fb4eba9118530498d757b09a9a33e7f... | Part_II.ipynb |
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# # Load Libraries
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import numpy as np
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# <h1>Pandas Playbook</h1>
# This Notebook lets you develop some intuition of the key features of *pandas* in a *query-like* way, with a mini... | _numpy_pandas/pandas intro.ipynb |
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# + [markdown] papermill={"duration": 0.033993, "end_t... | analyzing-data-part1.ipynb |
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# ## Univariate and Bivariate Analysis
# <b>Dataset</... | book/_build/jupyter_execute/descriptive/04-Summary-Statistics-And-Visualizations.ipynb |
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# # Testing the Left Arm
# **Warning:** Before runnin... | notebooks/Test Left Arm.ipynb |
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class Title :
def __init__(self,snum,sname,dnum,d... | ex05/10720129/DS1ex5_10720129.ipynb |
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# ## Deep Convolution Neural Networks(AlexNet)
# Altho... | Ch09_Modern_Convolutional_Networks/AlexNet.ipynb |
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import cv2
import numpy as np
import matplotlib.pyplot... | Question_31_40/solutions_py/solution_040.ipynb |
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# #### Importing Dependencies
# +
import numpy as np
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# # ML package of PySpark
# * This is based on datafra... | 02_pyspark_ml.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} cellView="form" id="ZIblCmI... | GAN.ipynb |
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# # Group Centrality Tutorial
# This notebook covers ... | notebooks/GroupCentrality.ipynb |
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# Test of the file
import math
# *How does it looks ... | _notebooks/Untitled.ipynb |
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# + [markdown] deletable=false editable=false
# # <img... | content/HW/HW1/.ipynb_checkpoints/CS109b_HW1-checkpoint.ipynb |
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import re
import requests
from bs4 import BeautifulSou... | iwf-championships-results-scraping.ipynb |
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# +
# default_exp core
# -
# # Core
#
# > This the th... | 00_core.ipynb |
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# + [markdown] id="IfjjK_EcyNfl" colab_type="text"
# ## Install modules
# + ... | labs27_notebooks/mixed/newspaper3k_spacy_exploration.ipynb |
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# # 551 Lec 2 - Building a basic Dash app
... | tutorial/ref_material/2-building-a-basic-dash-app.ipynb |