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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- import matplotlib.pyplot as plt import networkx as nx ...
ExploreVis.ipynb
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Microsoft Malware Analysis/Theory.ipynb
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05_Transformada_Fourier.ipynb
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doc/gp_custom.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R # language: R # name: ir # --- # **Load functions** # Loads libraries and automatically installs them ...
lessons/r/regression-models/20190321-regression-models.ipynb
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coleridge-spacy-model-training.ipynb
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notebooks/Death_Surya_v2.ipynb
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*args and**kwargs/args_kwargs.ipynb
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nlu/colab/component_examples/multilingual/chinese_ner_pos_and_tokenization.ipynb
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dataset_to_dict.ipynb
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book/_build/jupyter_execute/pandas/04-Methods and Attributes.ipynb
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jupyter_notebooks/notebooks/NB8_CVIII-bagging_perceptron.ipynb
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3. EDA_Basic.ipynb
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scipy-2016-sklearn/notebooks/21 Unsupervised learning - Hierarchical and density-based clustering algorithms.ipynb
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Copy_of_Homework_06.ipynb
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Diena_13_Visualization/Random_Dice_Sep24.ipynb
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Awari/Desafio_09.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Last Updated: 07/09/2018 # ## Radial Velocity Orbit-...
Week4_rv_fitting_radvel/RadVel_Tutorial_KEY.ipynb
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Example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Do this to allow for local imports. import os import...
examples/transformer_copy.ipynb
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estimation_cpp/notes/darienmt/darienmt_estimation/visualizations/Step 4 Magnetometer Update.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Example 1 - Triangulation of arbitrary points on t...
Notebooks/ScratchPad/Example1-Stripy-Spherical-Triangulations.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- def maxSubArray(nums): cum_sum = 0 min_sum = f...
200403/Untitled.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import seaborn as sns import matplotlib.pyplot as plt...
notebooks/extracting age and gender.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd df = pd.read_csv('dataset.csv') d...
Exploration.ipynb
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notebooks/official/interpolate.ipynb
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Tutorial-Start_to_Finish-ScalarWaveCurvilinear.ipynb
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jupyter/projects_individual/project_seismic_waves_airat.ipynb
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HW/1/skip/hw-beta.ipynb
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2_data_manipulation_with_pandas/2_data_manipulation_with_pandas.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import datetime import sys import pathlib import ...
notebooks/1.4 - TF CNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="iFhR1ucuyU2d" colab_type="code" colab={} #Import pandas libraries imp...
_Moringa_Data_Science_Core_W8_Independent_Project_2020_07_Leah_Mbugua (1).ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:tf_2_00] # language: python # name: conda-env-tf_2_00-py # --- #Álgebra Linear com num...
jupyter-notebook/Algebra Linear.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + rootf = FOLDER_NAME ## Here insert your rbm-mhc fo...
output_folder/.ipynb_checkpoints/Example_notebook-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Escalando Cartola com Cadeias de Markov e Programa...
src/python/markov-chain-lpp.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + language="html" # <style> # .h1_cell, .just_text {...
.ipynb_checkpoints/module1_handout-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Sorting algorithms one by one def binary_sort(l,key...
Sorting_Algorithms.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="LQV029hDzdMb" import numpy as np import matplotlib.pyplot as plt # +...
honorary_sessions/01_gaussian_distribution/gaussian_distribution.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Isomap Embedding # # * Non-linear dimensionality r...
sklearn/dimensionality_reduction_Isomap.ipynb
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Advection_Diffusion/.ipynb_checkpoints/test-checkpoint.ipynb
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doc/matplotlib/Text.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Qiskit 7 - Shores algorithm # # #### Table of cont...
Qiskit_7_Shores.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Spam Message Classification using Deep Learning # ...
analytics/notebooks/Deep Learning - Spam Message Classification.ipynb
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Project/IDX_scrapping.ipynb
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learning-position-auctions.ipynb
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pytorch_ipynb/rnn/rnn_lstm_bi_imdb.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:word2vecenv] # language: python # name: conda-env-word2vecenv-py # --- # # Implementat...
.ipynb_checkpoints/Implementation of word2vec-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import matplotlib.pyplot as pl from...
cookbook/delta_analysis_best_worse/get_R.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="q8R61hWpsVwn" # **Installing latest pickle to unserialize ...
kfold-lstm-deep.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # DAT210x - Programming with Python for DS # ## Mod...
Module5/Module5 - Lab9.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.5.3 # language: julia # name: julia-1.5 # --- using PyPlot, StatsBase, Printf, DelimitedFiles; u...
infinite_swapping/md_replica_exchange.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import importlib import RNN from RNN import * importli...
QQ/RNN_US_minimal.ipynb
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notebooks/spectrum.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # KNN(K最近邻分类)算法 # 如果有一个数据集中,有N类数据。输入没有标分类的数据集后,我们可以...
final/Task6_knn.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] slideshow={"slide_type": "slide"} # # S...
sst_02_hand_built_features.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import torch import torchvision as tv import matplotli...
inversion.ipynb
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Interesting_Python/some_modules/date2_within_7_days_date1/date2_within_7days.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # SparkMagic Sample to Access an Spark Cluster with ...
jupyter/jupyter-sparkmagic/notebooks/SampleNotebookWithCassandraConnector.ipynb
# --- # jupyter: # jupytext: # notebook_metadata_filter: all # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # language_info: # ...
_posts/python/chart-studio/proxy-configuration.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### Demonstration notebook for SfM alignment dataset...
Demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import pandas as pd import numpy as np datadf = p...
notebooks/import and clean.ipynb
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02_Inheritance.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd index = ['a','b','c','d','e1','e2'...
Data_Series/Reindex_intersection_Data_Series.ipynb
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example/CHIP-STS.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### Differences between interactive and production w...
basics/second/Selection.ipynb
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analysis/plotFrequencyPeaksVsPitchAngle2172021.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (cshl-sca-2017) # language: python # name: cshl-sca-2017 # --- # <small><i>The PCA section of t...
notebooks/2.4_matrix_decomposition_pca_ica_nmf.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="Tce3stUlHN0L" # ##### Copyright 2020 The TensorFlow Author...
site/en/guide/sparse_tensor.ipynb
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book/tutorials/data_access/data_access_2_earthdata.ipynb
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start-here.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # Lets assume we have one unary random variable **X**....
ml_basics/rdm005_PDF_PMF_CDF/PDF_PMF_CDF.ipynb
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docs/notebooks/link_two_dataframes.ipynb
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lecture7/Intro_to_pymc.ipynb
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notebooks/linreg_bayes_svi_hmc_pyro.ipynb
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.ipynb_checkpoints/Three Scripts-checkpoint.ipynb
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Indeed Web Scraping.ipynb
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research/ab_test.ipynb
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day4.ipynb
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04. Data Analysis/review_analysis/reviews.ipynb
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Statistics_S9_Central Limit Theorem & Conf.Int..ipynb
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_A simple line Chart.ipynb
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Simple Linear Regression/Population Effect on Food Truck Sales/population-effect-on-food-truck-sales.ipynb
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module3/lesson_applied_modeling_3.ipynb
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docs/examples/reproject_match.ipynb
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Example.ipynb
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instances/Dirac3D/Klein_Y.ipynb
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tensorflow/examples/udacity/3_regularization.ipynb
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code/notebooks/RES-BFGS.ipynb
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Homeworks/Homework9/VALLABHANENI_AKHILA_homework9.ipynb
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test/ipynb/Doc_Examples.ipynb
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1. Data-Modeling-with-Postgres-and-Apache-Cassandra/Data Modeling with Postgres/test.ipynb
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radar_plot.ipynb
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BedsoreDetection.ipynb
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ML Notebooks/00--Practice Work/on vscode/pandas/jupyterinvscode.ipynb
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Basic_Image_Classification_Tensorflow_&_Keras.ipynb
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Analyzing_Heart_Disease.ipynb
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docs/synapse/httpapi.ipynb
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ads_search.ipynb
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notebook/automl_time_series_forecast.ipynb
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Jour-2-correction/Serie-3/jour_2_serie_3_exo_3.ipynb