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import json
import numpy as... | notebooks/l1_receptive_fields.ipynb |
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# ## Load Data
# +
import os
import numpy as np
impor... | Baseline.ipynb |
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# # Sharpe Ratio - Introduction
#
#
# Shar... | posts/notebooks/Sharpe.ipynb |
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# <a href="https://cognitiveclass.ai/">
# ... | material/PY0101EN-2-3-Sets.ipynb |
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# # Objective
# Clean data for case study of a predict... | notebooks/Homecred - Data cleaning - Advanced.ipynb |
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import pandas as pd
titanic_df = pd.read_csv('titanic... | python/pandas/pandas 01.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Spark_Delta_Tables_unexpected_behavior_in_MERGE_INTO_WHEN_MATCHED.ipynb |
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# # List program
# # create empty list
empty_list=[]... | list1.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # 1. lin... | 04-neural-network/pytorch-examples/02-regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | logistic_regression.ipynb |
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# ## Семинар 4: объектно-ориентированное программирова... | Courses/IadMl/IntroToDataAnalysis/seminars/sem04_oop.ipynb |
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# # A linear regression learning algorithm example usi... | 3.1 Linear Regression.ipynb |
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# # Hands-on Advanced Neural Networks:
# ## Im... | exercises/Untitled1.ipynb |
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# # Enabling App Insights for Services in Productio... | how-to-use-azureml/deployment/enable-app-insights-in-production-service/enable-app-insights-in-production-service.ipynb |
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# # Mat->Py->Mat Multi PSD Example
#
# This notebook i... | Analysis/3.0 Edition/mat_py_mat-main/MultiPSD_B_python_fooofing.ipynb |
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# # Some Additional Python Basics from Sensitivity Ana... | docsrc/source/_static/Examples/Introduction/Python/Python Dicts, List comprehensions, and Imports.ipynb |
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# + id="3rIB1thux5jd" colab_type="code" colab={}
import numpy as np
import pa... | Image_Classification.ipynb |
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# # Assignment 2
#
# Before working on this assignment... | 02_Applied Plotting and Charting Data Representation in Python/Week_2/My_Assignment2.ipynb |
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# Tutorial 4: Bayesian Regularization
# ==============... | howtolens/chapter_4_inversions/tutorial_4_bayesian_regularization.ipynb |
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# + [markdown] id="cd203174-e617-4477-8c9d-b87b3bf9c... | Db2 Console RESTful APIs Hands-on Lab.ipynb |
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#import csv from the dataset
import pandas as pd
i... | week7/predict-dsm-woflags-newsplit-sample10000-multicore.ipynb |
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# # Imports
import pandas as pd
import numpy as np
fr... | House_Rocket_Ciclo01.ipynb |
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# + [markdown] id="fRR-mAhGutbC"
# # Autoencoders for image compression
# ## ... | Autoencoder_Image_Compression.ipynb |
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import numpy as np
import pandas as pd
from collec... | Campus_Data.ipynb |
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import matplotlib.pyplot as plot
import numpy as np
im... | Part 4 - Clustering/.ipynb_checkpoints/k-means-clustering-checkpoint.ipynb |
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import matplotlib.pyplot as plt
d... | 07_regresion_lineal_python/linearRegessionAlgorithm.ipynb |
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# # Python Identifiers
# Python’s identifiers are case... | Identifiers.ipynb |
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# ## Learning objectives:
#
# * Learning about boolean... | module_2_programming/conditional_flow_if_else.ipynb |
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# **Download** (right-click, save target as ...) this ... | 8-Labs/Lab06/Lab06-TH.ipynb |
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# Import scripts for getting content
from adeft_indra... | notebooks/IR_model.ipynb |
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# # Data-X Spring 2018
# ## Tutorial on Regularization... | 05c-theory-tools-regularization/regularization_notebook_v2.ipynb |
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# ### Lesson02_linear_multiple_input
import os
os.env... | lesson02_linear_multiple_input.ipynb |
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import pandas as pd
df = pd.read_csv("onerecordchronic... | pivottablejs/example/jupyter_pivottablejs_example.ipynb |
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# + id="BTlDTxQRNwW1"
import tensorflow as tf
from tensorflow import keras
fr... | 03_Time_Series.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | validation_exploration_lecturer_extended.ipynb |
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# %matplotlib inline
from matplotlib import pyplot
imp... | doc/interactive_tutorial/06-Using_a_community_code.ipynb |
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import numpy as np
import desurvey
import composite
import dask.dataframe as ... | notebooks/composite.ipynb |
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# # Project IV - SciComp II
# ## Heat Equation with Fi... | comp-cientifica-II-2019-2/Project-IV/.ipynb_checkpoints/Project_IV_GilMiranda-checkpoint.ipynb |
// -*- coding: utf-8 -*-
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// # Beispiel: Die C... | lessons/02_Grundlagen/22_Caesar.ipynb |
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# Загрузка зависимостей
import numpy
import pandas
imp... | PR-6/machine_data_analysis.ipynb |
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# + colab={} colab_type="code" id="R5SOSGIXkll0"
from ... | seq2seq_beam_search_final_length50 .ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | PTAP_tutorial_keras_v2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | SciBERT_SeqClassifier_Final_DS_6classes.ipynb |
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# # Predict churn of customers using a neural network
... | predict_customer_churn.ipynb |
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# # InferSent model testing before applying to the pro... | implementation/networks/InferSent/encoder/demo.ipynb |
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# %matplotlib inline
import numpy as np
from astropy.... | code/Untitled.ipynb |
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# ## Probability
# * Disjoint events, probability one... | coursera-statistics/cheatsheet/Addition.ipynb |
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# +
import tensorflow as tf
physical_devices = tf.con... | run.ipynb |
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# Adquisición de datos en Python - PRA02
# -----------... | 02-python-201/practices/04-api/your-code/pra-get-data_rodri.ipynb |
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def test_exercise_2_1(x) -> bool:
words = ["Hello\... | Chapter06/unit_testing/Exercise 6.02.ipynb |
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# +
import os
import math
import datetime
impo... | example/network_matching_test.ipynb |
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# +
# default_exp core
# -
# # The foundations
#
# > ... | nbs/00_core.ipynb |
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import numpy as np
import pandas as pd
import matplotlib.pyplo... | data1.ipynb |
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# ## Import and export of data from different sources ... | notebooks/import.ipynb |
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import itertools
import os
import re
import string
tw... | twitter/preprocessing.ipynb |
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import scvi
import scanpy as sc
import pickle
# %con... | Untitled.ipynb |
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# ## Importing and prepping data
import pandas as pd
... | notebooks/development/09_26_18_pca_size_redo.ipynb |
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# # K-fold Cross Validation Analysis
# + co... | src/analyze_results.ipynb |
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import torch
import torch.nn as nn
import torch.op... | display_activations.ipynb |
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# # Model & Synthesize Data
#
# The purpose of this Ju... | Model and Synthesize data using Python.ipynb |
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# # Entity Recognition
# %%capture
# !pip install --upgr... | notebooks/MuHeQA.ipynb |
# <h1>Table of Contents<span class="tocSkip"></span></h1>
# <div class="toc"><ul class="toc-item"><li><span><a href="#Environment-preparation" data-toc-modified-id="Environment-preparation-1"><span class="toc-item-num">1 </span>Environment preparation</a></span><ul class="toc-item"><li><span><a href="#Librar... | Property_Value_Propensity_Sell_Seminar.ipynb |
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import os
import numpy as np
import pandas as pd
impor... | TFM4.ipynb |
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# + [markdown] id="vsHh7RH3qIxL" colab_type="text"
# # Tabular models
# + id... | Hidden Layer Sizes/lesson4_tabular_HiddenLayer_size.ipynb |
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# + [markdown] id="2wCVCAfpyE0A"
# # Mount Drive
# + colab={"base_uri": "htt... | notebooks/Multilabel_WI_with_aug_training/[Edited]_10a_Copy_of_WeightImprintingSigmoid_MultiPred_Imat_with_bbox_for_train_and_test_with_training_and_aug.ipynb |
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# # 安装
#
# ## Python 2
# 对于Python 2用户，因为有一些包的最新版不再支持Py... | examples/demo.ipynb |
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# # Python Codes
# ### 1. Sum of Complex Numbers
a,... | .ipynb_checkpoints/Basic_codes-checkpoint.ipynb |
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# # Outbrain click prediction data proces... | dataset-preprocessing.ipynb |
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import numpy as np
import scipy.signal as sig
import g... | focus_stack_refinement/peak_search_v5.ipynb |
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import math
import numpy as np
import m... | precession.ipynb |
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# ## Comparison with the ninth spectroscopic binary ca... | notebooks/comparison-sb9.ipynb |
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import numpy as np
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# # Estimating dissimilarities
#
# These exercises sho... | demos/example_dissimilarities.ipynb |
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# https://www.youtube.com/watch?v=s8OQvxenxtw
from col... | notebooks/tutorials/Dictionary Tutorial.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as... | plot_component_experiment.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Traditional Algorithms/6. Tree Ensemble Methods/Bagging.ipynb |
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import psycopg2 as ps
import pandas as pd
... | model/customer_scoring_database_postgresql.ipynb |
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# %matplotlib inline
#
# # Artifact correction with M... | stable/_downloads/ac6935fd2f56d2a7d16c589c65a46140/plot_artifacts_correction_maxwell_filtering.ipynb |
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# # Installation
#
# Often, the packages we use are au... | solutions/02-Installation-solutions.ipynb |
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# ## Examples of the aliasing effect when sampling sig... | discrete-time-systems/notebooks/.ipynb_checkpoints/Aliasing-checkpoint.ipynb |
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# # AutoML Building Kubeflow Pipeline
# # !python -m ... | Notebook/3_Kubeflowpipeline.ipynb |
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# ### 【自前python講座-003】条件分岐／繰り返し処理／例外処理の演習の... | 003_control_flow/answer.ipynb |
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# # CW 11: Stack
#
# In a Jupyter notebook ... | Stack.ipynb |
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# ## Parameters
endpoint_url = 'http://rook-ceph-rgw-... | demos/xray-pipeline-lab/tools/create_notifications.ipynb |
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#Very less... | Python File Handling - CA.ipynb |
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# # Introduction to Python ... | Python/PythonIntro/ExerciseSolutions.ipynb |
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# Copyright © 2020, SAS Institute Inc., Cary, NC, USA.... | addons/destinations/CreateAzureDestination.ipynb |
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# ## Make dinosaur cards
import PIL
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# # Purpose: To Test the Sci-kit Image Thresholds for ... | Landry_collab/1_Landry_try_all_thresholds_pipeline.ipynb |
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# # Plots and fit of all the detected clumps
# +
from... | ClumpProperties/tables_for_paper.ipynb |
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# + [markdown] id="jal7xDYFe3Nq" colab_type="text"
# # QUBOで足し算を行う
# + [mark... | examples_ja/tutorial002_one_plus_one_ja.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | Advanced lane finding.ipynb |
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import os
import json
import random
im... | 1D_Model/notebooks/generate_whiten_wave.ipynb |
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# + colab={} colab_type="code" id="Sk1WT2p8_Bep"
# !pi... | notebooks/MountainCar_v0.ipynb |
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# # Lesson 4 - Decision Tree
# This is the code to acc... | 4_DecTreeClassifier.ipynb |
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# + id="Esanhlh8KZcX" colab_type="code" outputId="2a55b8e9-2672-41da-f552-1ee... | chatbot/final_chatbot.ipynb |
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# + [markdown] id="M_bO5AEJYjtS"
#
#
#
# ![JohnSnowLabs](https://nlp.johnsnow... | examples/colab/Training/entity_resolution/sentence_entity_resolution_training.ipynb |
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# # Class 1
#
# Note: The notes that follow are large... | bootcamp/Class1.ipynb |
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# # #05 - Exploring Utils
#
#
# Falar sobre para se tr... | examples/#05 - Exploring Utils.ipynb |
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# # DMI Deaths Classification
import pandas as pd
imp... | experiments.ipynb |