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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 3 # language: python # name: python3 # --- # + '''Visualization of the filters of VGG16, via grad...
Activate Neuron.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 # --- # + colab={} colab_type="code" id="yGDhjuq-hfDH" impor...
Preprocessing/Features Selection/NewDataSet/Tree_based_feature_selection.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 # --- # # Flag of China # %matplotlib notebook import matp...
src/Flag_of_China.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 sys sys.path.append('../') from maskmoment impo...
example/N4047_examples.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.8.8 64-bit (''base'': conda)' # name: python3 # --- pip install PrettyTable # + import json from...
DataBaseSearch.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="view-in-github" colab_type="text" # <a href="https://colab...
Matrix_and_its_Operations.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 # --- # + # Dependencies and Setup import pandas as pd # Fi...
Heroes of Pymoli Revised.ipynb
# --- # 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 # --- # # Building our operators: the Face Divergence # The...
1608_Finite_volume/divergence.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 math import numpy as np import copy import iter...
deepspeed/amp/pipeline_dp.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 # --- from ipywidgets import * import nglview as nv import ...
nglview/tests/notebooks/extra/component_viewer.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 0.6.2 # language: julia # name: julia-0.6 # --- # ## Condensate growth in ...
examples/condensate growth.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] id="skzB79nE-Dco" # # Colab-pytorch-ima...
7_EfficientNet.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 # --- # HIDDEN from datascience import * # %matplotlib inlin...
lec/lec25.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 files # + import pandas as pd import...
Note_books/Explore_Models/.ipynb_checkpoints/Model3_badv1_Leung_v1-checkpoint.ipynb
# # Select fourth-order FOT in the parameter space of transversely isotropic FOT import numpy as np import sympy as sp import vofotensors as vot from vofotensors.abc import alpha1, rho1 import pandas as pd # Create data alphas = np.linspace(-1.0 / 3.0, 2.0 / 3.0, 10) rho_top = alphas / 56.0 + 1.0 / 60.0 rho_bottom = ...
docs/source/notebooks/03.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 # --- # # Import libraries # %%time from beem.account import Account from beem.com...
CodeTesting.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 package1 from package1 import package1_func...
test/notebooks/functions.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 # --- # # Download sample # # Download **PDF articles** for ...
notebooks/xx-download_sample.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 # --- # + id="L_ZC0NdCiFHd" import pandas as pd import numpy...
H20 ML Notebooks/Network Analysis/Network_Analysis_Indonesian_Food_Ingredients.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 # --- # <a href="https://colab.research.google.com/github/ad...
seminar4/seminar_SVM_solutions.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 # --- # + # This notebook reproduces the spectrum plots in ...
ExamplesAndTests/Test_Plots_1811.06844.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 get_parent_idx(self, idx): return idx // 2...
01.Algorithm/max_heap.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.0.3 # language: julia # name: julia-1.0 # --- HTML("$styl") # # Chapter...
Chp02/Chp02.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 patsy as pt import numpy as...
6_acquisition_function.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="view-in-github" colab_type="text" # <a href="https://colab...
wineRec_FM.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 # --- # # Assignment 2 - Evapotranspiration # # - toc: false...
_notebooks/2020-02-03-assignment-02-ET.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 # --- # # K- Means Clustering # by *<NAME>* # ## Importing...
Task-3.ipynb
# --- # 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 # --- # # Scikit learn, supervised learning, part 1 # + imp...
lecture2/Sklearn_supervised_1.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 # --- # <h1>Boston Using Neural</h1> # <h6><NAME>ari</h6> # ...
Basic Projects/Boston Using Neural.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.7.6 64-bit (''venv'': venv)' # language: python # name: python3 # --- import sys sys.path.inse...
notebooks/expectativas IPCA anual.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="bs5dRVOjZ6pT" colab={"base_uri": "https://localhost:8080/", "height":...
assets/EMSE6574/Week3_Assignment.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] colab_type="text" id="xu2SVpFJjmJr" # #...
tensorflow/examples/tutorials/deepdream/deepdream.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Django Shell-Plus # language: python # name: django_extensions # --- from cast.forms import PostForm fo...
notebooks/chaptermarks.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [default] # language: python # name: python2 # --- import numpy as np import pandas as pd from pa...
l5/Lecture 25 - Reading and Writing Text Files.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 pyspark class Row from module sql from py...
ETL-Examples/src/main/python/pyspark-sql-examples/dataframe-operations.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 # --- # # Logistic Regression # # ## From Regression to Clas...
0206_LogisticRegression.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 # --- n = input("Digite algo:") print('O tipo digitado é uma...
.ipynb_checkpoints/EX004 - Dissecando uma Variável -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 # --- # cd .. import os import re import pandas as pd impor...
notebooks/03_Rentals.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 # --- # Imports: import pandas as pd import geopandas as gpd...
Final-Code/Merged-Code-Farah.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 os import sys import time import matplotli...
Drawing/OldDrawing/LineTypes-Copy3.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="iEL0LqOvNctE" # # In this tutorial we will build basic CNN...
HW4/CNN_POST_BN.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 # --- # ## Traverse a tree (depth first search) # # Traversi...
trees/.ipynb_checkpoints/traverse_a_tree_dfs-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 pickle from sklearn.model_selection import ...
.ipynb_checkpoints/feature_regress-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 (ipykernel) # language: python # name: python3 # --- import tensorflow as tf tf.config.experime...
OPC_Sensor/.ipynb_checkpoints/CNN_tanh_binary-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 (ipykernel) # language: python # name: python3 # --- # + # Python program to find the area of t...
lesson 16.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 csv from operator import add global Path Pa...
Quiz_106598005/Quiz_2.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 # --- # <small> # Copyright (c) 2017 <NAME> # # Permission i...
Chapter15-Scikit-Learn/Scikit-Learn-Notebook-5-Ensembles.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 # --- # # Available questions # ## A note on types # # - `j...
notebooks/available-questions.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 # --- # # Using letters as shapes # + import pandas as pd ...
plotnine_examples/tutorials/miscellaneous-using-letter-as-shapes.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 # --- # + #source:https://github.com/dwavesystems/dwave-hybr...
Dwave/dwave_hybrid_max_clique.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] colab_type="text" id="0zAbYvv-WCve" # #...
Breast_Cancer_Dataset_PCA.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 # --- # ref: https://www.kaggle.com/hamishdickson/bidirectio...
jamo_glove.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 warnings warnings.filterwarnings('ignore') ...
coco/coco_demo.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda root] # language: python # name: conda-root-py # --- # ![](http://i67.tinypic.com/2jcbwcw....
07b-tools-word2vec/55a-NLTK.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] id="view-in-github" colab_type="text" #...
super_convergence/cifar_10_super_convergence.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 # --- # Evaluate different ising influence strategies on the...
Figures_3-4_Pokec/Pokec_markup_simulations.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # + from colour import Color, RGB_TO_COLOR...
notebooks/Colors.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 from sklearn.mo...
ipynb/Data PreProcessing.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 # --- # ### 处理 txt 文件 file = 'file.txt' f = open(file, 'r')...
Learning python/2. 数据类型/6. 文件.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 # --- # + nbsphinx="hidden" import open3d as o3d import nump...
examples/python/Advanced/voxelization.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:deep_nlp] # language: python # name: conda-env-deep_nlp-py # --- # # Machine Learning ...
ml_models/model_evaluation.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 # --- # # Using Microsoft Excel, Pandas, Matplotlib, and Mic...
Week 15/Week15-Extra_Credit.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 # --- # <h2 align='center'>Phase Change Material</h2> # Imp...
notebooks/pcm.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 # --- # <b>Calcule a integral dada</b> # $12. \int 3t\sqrt{...
Problemas 5.2/12.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="view-in-github" colab_type="text" # <a href="https://colab...
2020_Python_Programming_Practical_2.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 # --- # # CVPR2021 NAS竞赛Track 1第2名方案 # (队伍名称:ANS - 榜单名次:2 - ...
NAS/cvpr21_nas_track1/Track1_Submit/README.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="Q5-Qj7-GJyXj" # #**Kalman Filter For Moving Object** # + ...
KFMO.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="tXz5afYnv0Ax" # ## IAI5101 Project - Group 3 # + id="OmD9...
IAI5101_Group3_Project.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 # --- # + nbsphinx="hidden" # Delete this cell to re-enable ...
docs/guide/creating.ipynb
# --- # 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 # --- # %matplotlib inline from sklearn.datasets import load...
HDRIO/Iris Exploration.ipynb
# # Decision tree in depth # # In this notebook, we will go into details on the internal algorithm used to # build the decision tree. First, we will focus on the decision tree used for # classification. Then, we will highlight the fundamental difference between # decision tree used in classification and in regression. ...
rendered_notebooks/trees.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:holovizgen1202] # language: python # name: conda-env-holovizgen1202-py # --- # # CFSv2...
CFSv2_GEEcomparison.ipynb
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sc-network-judgments/Topic Modelling of Judgments.ipynb
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HappyTimes/ValentineDay/GiveHeartPit2Love.ipynb
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02_pandas_practice_1.ipynb
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recipes/import_assets.ipynb
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Untitled.ipynb
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notebooks/category distribution.ipynb
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assignments/release/Basics/D1-exercises.ipynb
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Bronze/classical-systems/CS20_Probabilistic_Operators_Solutions.ipynb
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wordTokenize.ipynb
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examples/plot_stack_masks.ipynb
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signal_processing/timbral_inspection/timbre_demo.ipynb
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notebooks/cartotools_crs.ipynb
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nbs/constraints.ipynb
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estudos_python/Machine_Learning/Others/3. ST Academy - Decision Trees resource files/Python Code/regression_tree.ipynb
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code/chap02mine.ipynb
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_notebooks/2022-01-02-email-classification.ipynb
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titanic/beginner-tutorial-using-votingclassifier-82-27.ipynb
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Case_Study_7B.ipynb
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MATH/02_Linear_algebra_04.ipynb
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notebooks/exploratory/blowUpDiagnosis.ipynb
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examples/notebooks/Context.ipynb
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WISE/code/classify.ipynb
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session-3/.ipynb_checkpoints/lecture-3-checkpoint.ipynb
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Grid Search/SVC.ipynb
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notebooks/populate_neoDB.ipynb
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02_ingest.ipynb
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python/GeometryAG/Terms.ipynb
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CERGAS/Notebooks/Italy_mortality_rates_correlations-Geo.ipynb