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import pandas as pd
import random
oos = pd.read_csv('... | fuzzy_similarity/OOS_context.ipynb |
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# + colab={} colab_type="code" id="1nV6GPjnv4Tr" outpu... | LogisticRegression.ipynb |
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# # "Scraping data from the Offical Covid Pakistan Gov... | _notebooks/flights_scrapper.ipynb |
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# ## Abstract
#
# ## Extensive Feature Extraction for ... | Feature Extraction/.ipynb_checkpoints/ADS_Extensive_Feature_Extraction_Technical_Indicators_Final23Apr-checkpoint.ipynb |
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# # BigQuery Essentials for Teradata Users
#
#
#
# In... | quests/bq-teradata/01_teradata_bq_essentials/labs/bigquery_essentials_for_teradata_users.ipynb |
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# # Darwin Mini gait generation (research)
# +
# Impo... | software/samples/notebooks/Darwin Mini gait generation (research).ipynb |
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# # Named Entity Recognition: Simple Usage
from simp... | Transformers/Tasks/named-entity-recognition-simple-usage.ipynb |
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# ## JSON
# # JSON - Javascript Object Notation
# ###... | Diena_14_JSON/Using_JSON_APIs.ipynb |
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# This is the best known dataset for doing classificat... | ML dataset - Iris.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | examples/example.ipynb |
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# + [markdown] id="0urPrHXwthOy"
# # Segmentor project... | notebooks/Segmentor DeepLabV3 v04.ipynb |
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% + [markdown] slideshow={"slide_t... | 04_macierze2.ipynb |
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# Exo 3:
import pandas as pd
import numpy as np
impor... | 4-seaborn/.ipynb_checkpoints/Exo3-checkpoint.ipynb |
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# ## Libs
# +
import matplotlib as matpl
import matpl... | Univar_LSTM/2_LSTM_Univar - 10VNQ.ipynb |
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# baixei o grafico da noticia em 2015-03-15 às 01:... | rascunho.ipynb |
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import os
import json
import sys
import pandas as... | apps/annon/evaluate_mask_rcnn_report.ipynb |
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# # Tutorial for Community Detection using Hy... | Notebook_QBSolv_community_detection.ipynb |
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# ## Test with a ... | test.ipynb |
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print ("hello world")
# # My First Notebook
# ### My... | notebooks/MyFirstNotebook.ipynb |
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# <a id='top-page'></a>
# # <img src="../images/PCAfol... | docs/tutorials/demo-regression.ipynb |
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# # Demo object and attribute predictions
#
# ### 1. ... | bottom-up-attention/demo.ipynb |
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import pandas as pd
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from matplotlib... | spectrum-checkpoint.ipynb |
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# # Exercise 3 - Quantum error correction
#
# ## Histo... | solutions by participants/ex3/ex3-HojunLee-236cnot.ipynb |
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# ## Python statistics essential training - 05_06_baye... | Statistics Python Essential Training - Linkedin Learning/4). Introduction to Statistical Modeling/05_06/05_06_bayesian_end.ipynb |
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# # Exercise 8.03
# Import the required Libraries
import n... | Chapter08/Exercise8.03/Exercise8_03.ipynb |
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# importing libraries
import h5py
import scipy.io as io
import PIL.Image as Image
import numpy as np
import os
import glob
from matplotlib im... | crowd-counting/crowd-counting.ipynb |
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# + [markdown] colab_type="text" id="GE91qWZkm8ZQ"
# ##### Copyright 2019 The... | site/ja/tutorials/text/word_embeddings.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module1/assignment_applied_modeling_1.ipynb |
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// # NB04b Pept... | Notebooks/NB04b_Peptide_Identification.ipynb |
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# # Implementation of... | cw_nets/scripts/Demo-Rasterio.ipynb |
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# # [AI训练营]基于飞桨实现眼底血管分... | 2285069.ipynb |
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#We install the os module to change th... | t_test.ipynb |
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# # Advanced NumPy
import numpy as np
import pandas a... | appa.ipynb |
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# ## Dataset
# This <a href="https://www.kaggle.com/an... | 1_data-preprocessing.ipynb |
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# + [markdown] id="Ar6WxXxBzAuk"
# This notebook is inspired from a very good... | exp/ukrainian_notebook_training/XLSR/1h_per_ukrainian_experiment.ipynb |
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# %matplotlib... | _solved/workflow_example_evaluation.ipynb |
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# Verifica los municipios sin datos.
impo... | code/Proyecto/Jupyter/eval_mun.ipynb |
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# import relevant libraries
import numpy as np
import ... | Ex_Files_Python_Data_Functions/Exercise Files/07_03_violin_plots.ipynb |
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# + deletable=true editable=true input_collapsed=false... | examples/Marks/Pyplot/Candles.ipynb |
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# <a href="https://colab.research.google.co... | t81_558_class_03_3_save_load.ipynb |
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import pandas as pd
import matp... | poster/plots.ipynb |
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# # Cleaning Data
#
# ## About the data
# In this note... | ch_03/3-cleaning_data.ipynb |
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import numpy as np
# #!pip install numpy
np.version.v... | Numpy/Numpy End to End.ipynb |
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# ## NMF
# [2.5. Decomposing signals in components (ma... | source/sample_ml/Chapter03/3-3 NMF.ipynb |
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# + [markdown] nbpresent={"id": "3e36... | 2016/tutorial_final/77/Tutorial.ipynb |
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# + [markdown] id="fY0oL-lfTgK-"
# ## Exemplo de aplicação de lógica nebulosa... | ref/gorjetaNebulosa.ipynb |
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# + [markdown] id="tvgnzT1CKxrO"
# # Vertex AI Model B... | courses/machine_learning/deepdive2/launching_into_ml/labs/automl-tabular-classification.ipynb |
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# + [markdown] _uuid="f49b195bf9b697103c03998d06ac3d42... | AI_Generated_Star_Wars.ipynb |
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# Dataset source = http://snap.stanford.edu/data/wik... | snm/snm/project/adminwikipedia/mineWipipediaData-fords.ipynb |
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#import packages
import numpy as np
import pandas as p... | Chapter13/Exercise 13.6/FeudalQL.ipynb |
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# # Challenge
#
# Ano... | Starter_Files/.ipynb_checkpoints/challenge-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tarea10.ipynb |
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# .. _plots:
#
# .. title:: Plots
#
# #### Plots
... | docs/source/examples/R33/create_plots.ipynb |
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# # This is a notebook to explore the ligpy results af... | explore_ligpy_results.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | Analyse_TOP_250_IMBD.ipynb |
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# # Dev Notes
# Inside `definition`, some... | dev_notes.ipynb |
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# + [markdown] _uuid="c50f3e3ac5d09917dcad0bd27fa81296... | Datascience_With_Python/Deep Learning/Projects/Fashion MNIST using CNNs/fashion_mnist_using_CNNs.ipynb |
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# # Oddstradamus
# ### Good odds and where to find the... | 07_Results.ipynb |
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#default_exp model.external
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#export
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import argparse
import LSB_img_hide
import LSB_text_hi... | stego_proj/.ipynb_checkpoints/Hide-checkpoint.ipynb |
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import os, sys
sys.path.append(os.path.join('..', 'src... | notebooks/demo.ipynb |
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# ## Ploting
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import t... | test.ipynb |
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import pandas as pd
df = pd.DataFrame({'A': [11, 21, ... | notebook/pandas_dataframe_rename.ipynb |
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import numpy as np
import math
def isBalance(express... | resources/algopy/parenthesisMatch.ipynb |
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# + [markdown] colab_type="text" id="_DDaAex5Q7u-"
# ##### Copyright 2019 The... | tensorflow/lite/g3doc/performance/post_training_integer_quant.ipynb |
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# ## We have two goals in our application of machine l... | devel/ML_PredictStressStrain.ipynb |
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# + [markdown] id="E686--ar_B_e"
# # Курс по машинному... | kNN/notebook/KNN.ipynb |
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# <b>Traçar um esboço do gráfico e obter uma equação d... | Problemas Propostos. Pag. 172 - 175/24.ipynb |
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# # Normalisation of T2W-MRI using Fisher-Rao metric a... | notebook/time-warping-normalisation-t2w.ipynb |
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# [... | 15_introduccion_a_sympy.ipynb |
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# ## Building a decision tree from scratch in python
#... | notebooks/Decision Tree - Building.ipynb |
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# %reload_ext autoreload
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fr... | src/Basic LSTM.ipynb |
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# # Testing the statistics/quality of the ... | examples/Example2_statistics.ipynb |
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# # Imports
import pandas as pd
import numpy as np
imp... | notebooks/2_generate_sample.ipynb |
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imp... | Archive/Other tests/Optimisation analysis.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Unit_3_Sprint_1_Software_Engineering_Study_Guide.ipynb |
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from keras.layers import Bidirectional, Concatenat... | Lesson 08/exercise.ipynb |
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from Prepare_Data import *
from Models import *
from T... | Test Models.ipynb |
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texts = ["""The Golden Retriever is a larg... | Section02/Walkthrough_Section 2-1_Working with a NLP Pipeline.ipynb |
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#
# # Add Cell Connectivity To P... | locale/examples/filters-general/add-cell-connectivity-to-points.ipynb |
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# # Let's write a cleaning function
#
# You can use Py... | exercises/04. Let's write a cleaning function-working.ipynb |
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sum = 0 ... | Abhishek Doshi 181060025.ipynb |
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# # Buoyancy Correlation
# ### Use a linear regression... | climatology_analysis_notebooks/Buoyancy_correlation.ipynb |
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im... | session/entities/alxlnet-base.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Exercise 1
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# # Linear algebra: the similarity of texts and approx... | mathematics-python-for-data-analysis/task-similarity-texts/solution.ipynb |
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idades = ["0 a 4 ... | exercicio-03.ipynb |
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# # Soring, searching, and counting
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# ### Simulation Part
# %pylab inline
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# # Template for Binary Classification
# The purpose o... | Binary_Classification.ipynb |
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# # Easily export jupyter cells to python module
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# # Change point detection using the OPU online mode
#
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# # 概率和信息论
# ### 基本概念
# * 随机变量: 可以随机取不同值得变量,在机器学习算法中,每... | DeepLearningBook/.ipynb_checkpoints/probability and the theory of information-checkpoint.ipynb |
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