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# + [markdown] slideshow={"slide_type": "slide"}
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import pandas as pd
from scipy.stats import chi2
... | Jupyter/Class_ML_Path/04 Machine Learning Path/Numba_Test_Mahalonobis.ipynb |
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# # Likelihood Ratio Ou... | examples/od_llr_mnist.ipynb |
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# + [markdown] id="IdIhVR8fpmzl"
# # "Dynamic display of audio spectrogra of ... | _notebooks/2021_02_1_audio_spectrogram.ipynb |
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# default_exp typing_
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# # Typing
#
# > SAX types
# +
... | nbs/00_typing.ipynb |
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# # Purpose
#
# The purpose o... | notebooks/Get movie poster urls for visualization.ipynb |
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# + [markdown] pape... | experiments/torch_cnn_experiments/demo_human_or_worm.ipynb |
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# # Importing VTK data to be displayed as Mesh
#
# Add... | examples/vtk.ipynb |
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# (bcg_incomplete_final)=
# ```{raw} html
# <div id="q... | .archive/lectures-mixed/BCG_incomplete_mkts.ipynb |
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# # Twitter Sentiment Classification using Vowpal Wabb... | notebooks/features/classification/Classification - Twitter Sentiment with Vowpal Wabbit.ipynb |
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# ## Coding Exercise #0708b
# ### 1. Inverse transfor... | SIC_AI_Coding_Exercises/SIC_AI_Chapter_08_Coding_Exercises/ex_0708b.ipynb |
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# ## Deep Learning - Flower Image Classificati... | notebooks/features/other/DeepLearning - Flower Image Classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | password_with_requirement.ipynb |
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import tensorflow as tf
tf.logging.set_verbosity(tf.logging... | Four Word Model/Model-6.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # ¿... | 2020/ode_numerico/ode_numerico.ipynb |
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# ### What is Pyspark?
# <img src="PySpark.png">
#
#
#... | First PySpark ml model/First ML models using PySpark.ipynb |
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# # Chapter 2. Redis Basics... | pluralsight-building-nosql-apps-with-redis/ch2.ipynb |
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import sys
import time
import os.path
from glob im... | publish/ERA5_verif_old/PLOT_CRPS_ERA5.ipynb |
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conj={2,5,6,3}
conj
conj.add(10)
conj
conj.add(18)
... | Conjuntos.ipynb |
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# # Using `matplotlib` to display inline images
#
# In... | Python/10_matplotlib's_imshow.ipynb |
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# # Image Captioning with LSTMs
# In the previous exer... | assignment3/LSTM_Captioning.ipynb |
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# # IEEE Fraud Feature Engineering and EDA
# _By <NAME... | ieee-fraud-feature-engineering-and-eda.ipynb |
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# # Exploratory Data Analysis
#
# ## English la... | src/wikipedia/en/wikipedia-lexdiversity/EDA_Wikipedia_Diversity_Size.ipynb |
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# # Data Labelling Analysis (DLA) Dataset E
#import l... | notebooks/Dataset E - Pima Indians Diabetes/Synthetic data evaluation/Resemblance/4_Data_Labelling_Resemblance_DatasetE.ipynb |
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# Notebook for plotting Corona data from SSI
#
# This... | SSI_kommune_plots.ipynb |
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suppressWarnings({
library(lmerTest)
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# + [markdown] colab_type="text" id="Za8-Nr5k11fh"
# ##### Copyright 2018 The... | Time Series Forecasting with CNN and Wavenet.ipynb |
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# # Evaluati... | Evaluation_analysis.ipynb |
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# # BLU12 - Learning Notebook- Part 3 of 3 - Advanced ... | Learning Notebooks/BLU12 - Learning Notebook - Part 3 of 3 - Advanced Topics.ipynb |
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# + _cell_guid="d46ba3fd-26f1-4635-b2f9-fca916ff3066" ... | natural_language_processing/Spooky_Author_Identification_Dataset_NLP_using_LogReg.ipynb |
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import tensorflow as tf
import numpy as np
cla... | som/som_example.ipynb |
# -*- coding: utf-8 -*-
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# # MATH50003 Numerical An... | sheets/week7s.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | nb-mall-customer.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 5_Optimization.ipynb |
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# # Combine a Matplotlib Basemap with IPython Widgets
... | pixelplanet/basemap_ipywidgets.ipynb |
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# + [markdown] id="flLpKhvYnGBp" colab_type="text"
# Сверточные сети относите... | HW7/HW7.ipynb |
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# + id="qnUzRSg37Wfe" colab_type="code" outputId="d6044ba3-2a06-4634-e09b-21a... | experiments/class3/[0_BHS_1101]Bayesian_CNN8_4_Rate_of_return.ipynb |
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# Dependencies and Setup
# %matplotlib inline
impo... | Pymaceuticals/pymaceuticals_starter.ipynb |
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def add_num(n1,n2) :
return n1+n2
def mul_num(*a... | _python2/module_gyeongwon.ipynb |
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# %matplotlib inl... | climate_starter.ipynb |
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# ### Python OOPS-Magic Methods In Classes
### All th... | All about Python/Advance Python Series-Magic Methods In Classes.ipynb |
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# + [markdown] id="IyHwxMlFiRvv"
# ### Zadania
#
# 1. Dodać GPU
# + id="A6hf... | first_pytorch.ipynb |
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# # Spherical samplings for weather pre... | tutorials/spherical_grids.ipynb |
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from keras.models import Sequential
from keras.lay... | all_codes/keras model/keras_implementation.ipynb |
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import os
import datetime as dt
import pandas as p... | Unsupervised/CityworksToPro_clean.ipynb |
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# # The Qubit
#
# This tutorial introduces... | tutorials/Qubit/Qubit.ipynb |
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# - [Lab 2: Ridge Regression](#6.6.1-Ridge-Regression)
# - [Lab 2: The Lasso](#6.6.2-The-Lasso)
# - [Lab 3: Principal Components Regression](#... | regularisation/model_selection_regularisation_ISLR.ipynb |
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# + [markdown] id="N4USTiLhUVXD"
# ## 実習3-3
# ### CIFE... | PDL/3-3_Data_Augmentation_CIFER10_CNN.ipynb |
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import QUANTAXIS as QA
"""
在讨论完QA_fetch_get系列以后 我们主要考... | jupyterexample/DataStruct(QA_fetch_adv).ipynb |
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# %matplotlib inline
# import utils;
# reload(utils)
... | deeplearning1/nbs/lesson6-pure-python-Michael.ipynb |
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# # Variable
# +
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import numpy... | tutorial.ipynb |
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# !pip install deepface
import sys
import numpy as np... | src/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import string
import itertools
import numpy as np
... | Multi_Sample_Dropout/Multi_Sample_Dropout.ipynb |
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# ## [Load Library](https://academy.dqlab.id/main/live... | Learn/Python/Fundamental/Statistic using Python for Data Science/Statistic using Python for Data Science.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# ![data-... | 05a-tools-titanic/titanic.ipynb |
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# + [markdown] button=false deletable=true n... | ML0101EN-Reg-Polynomial-Regression-Co2-py-v1.ipynb |
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# **Time ... | notebooks/4_Time_operations.ipynb |
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import pandas as pd
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import scip... | Module4/assignment4.ipynb |
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# # Step 1: Bu... | src/Building_List_and_Label.ipynb |
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# <center>
# <img src="https://cf-course... | notebooks/Module3-Pyhton-Programming-Fundamentals/PY0101EN-3.2_notebook_quizz_Loops.ipynb |
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from awsglue.transforms import *
from a... | glue-scripts_simple.ipynb |
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# hash: d93d3... | src/statistical_test/mean/multiple/non-parametric/friedman.ipynb |
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# # Critères d'évaluation en apprentissage supervisé
#... | Evaluation criteria for supervized learning.ipynb |
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s1 = u'my string'
type(s1)
from __future__ import uni... | Untitled.ipynb |
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# # How to Access the `items` of an `Objec... | I Resolving Python with Data Science/02_Disecting the Object Like an Onion/script.ipynb |
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import pandas as pd
# ### 1- Check the path
# !ls
#... | .ipynb_checkpoints/geo_coord-checkpoint.ipynb |
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# <h1... | multi-study/05m_LLMGA_PRJEB23642.ipynb |
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# # 07. Adjusting timeouts
# ## Overview
# In this n... | notebooks/07-Adjusting_timeouts.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Convolutional Neural Network.ipynb |
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# # Time series of spring phytoplankton bloom and mo... | notebooks/Bloom_Timing/stationS3/2019_S3_PhytoBloomTiming.ipynb |
# -*- coding: utf-8 -*-
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# # Bechmark: Vern9 vs IRK... | Tutorials/.ipynb_checkpoints/Three Body-Work-Precision-Float128Tole13-checkpoint.ipynb |
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# + [markdown] id="DkA0Fobtb9dM"
# ##### Copyright 2020 The Cirq Developers
... | docs/circuits.ipynb |
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import json
import os
import tqdm
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... | notebooks/8/8.ipynb |
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from compas.datastructures import Mesh
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# + tags=["parameters"]
epochs = 50
# -
# # Part 7 - ... | examples/tutorials/translations/Pidgin/Part 07 - Make we do Federated Learning with FederatedDataset-Pidgin.ipynb |
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# #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Thi... | WLE to-do list creator.ipynb |
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s... | Notebooks/Linear Regression With MLLib.ipynb |
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import pandas as pd
df_train = pd.... | Basic Machine Learning Models/Logistic Regression/Logistic_Regression.ipynb |
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# <h1>Table of Contents<span c... | 04_resampling/ch05_notes.ipynb |
# -*- coding: utf-8 -*-
# # II Kodutöö
#
# # I osa - veebiloengud, videod, artiklid (4 punkti)
#
# 1. (**3 punkti**) Vaata Johns Hopkinsi andmeanalüüsi kursuse videosid:
#
# * [The ggplot2 Plotting System - Part 2 (1/3)](https://www.youtube.com/watch?v=zLwrYvH2Hg0&list=PLjTlxb-wKvXPhZ7tQwlROtFjorSj9tUyZ&index=13)
# * ... | kodutood/kodutoo2.ipynb |
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import cx_Freeze
executables = [cx_Freeze.Executa... | setup.ipynb |
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# <h1>Table of Contents<span c... | pahse1/Sample 17/Assignment-answers-sample(1).ipynb |
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# + id="LnnFAp8Ypj1J"
import numpy as np
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import random
fr... | ML/ML_Sem_6.ipynb |
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# ## Face detection con OpenCV
#
# Una de las viejas f... | work/.ipynb_checkpoints/face_detection-checkpoint.ipynb |
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# + [markdown] button=false deletable=true new_sheet=f... | data_visualization_with_python/notebooks/1_matplotlib_intro_and_line_plots.ipynb |
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# + [markdown] id="r3-krnDxznLX"
# # Clusterização de dados de amaciamento - ... | notebooks/artigo_kmeans.ipynb |
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# ## Example of using BigQuery and Pandas together
#
#... | 05_devel/pandas.ipynb |
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# # Exp 8 analysis
#
# See `./informercial/Makefile` f... | notebooks/exp8_analysis.ipynb |
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### distance dependent state transition demo
... | notebooks/6 Distance-dependent HMM.ipynb |
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# + [markdown] id="Ka9-BtIZhpgT"
# # Ungraded Lab: Denoising with a CNN Autoe... | Generative-deep learning-with-tensorflow/week-2/C4_W2_Lab_5_FashionMNIST_NoisyCNNAutoEncoder.ipynb |
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from PIL import Image
import os
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# %pylab inline
from sigvisa import Sigvisa
from s... | notebooks/bayesian_correlation_evproposal_3_full_mh.ipynb |
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#hide
#skip
! [ -e /conte... | nbs/13a_learner.ipynb |
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# # Introduction
#
#
# The selection effects assign a ... | postProcessing/Folders/CosmicIntegration/3_SelectionEffects.ipynb |
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# **Chapter 4 – Training Linear Models**
# _This note... | 04_training_linear_models.ipynb |
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# # Test For `DriftCheckerEstimator`-`pydrift`
#
# We... | notebooks/1-Titanic-DriftCheckerEstimator-Demo.ipynb |
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# Imports and plotting preferences
import os
impor... | doc/nb/calib-emline.ipynb |