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# + [markdown] id="ohoT6RjYmeHM"
# #**Visualizations**
# + id="fC... | Visualizations.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Section4.ipynb |
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# #!/usr/bin/env pyth... | cortical_layers/train_simple_model.ipynb |
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import tensorflow as tf
import matplotlib.pyplot... | tensorflow/day4/answer/.ipynb_checkpoints/A_04_01_NN_MNIST-checkpoint.ipynb |
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# %matplotlib inline
import math
import os
from it... | 8_Beta_Tests.ipynb |
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### uncomment to display figures
# %matplotlib inline
... | Training/Benchmarking/BenchmarkingDemo_SM_SASMAS.ipynb |
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# name: python385jvsc74a57bd027c864c23e117f40a7a4f2f1a3201837d7329c7e... | interviewer/250_python_basics.ipynb |
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import sys
import json
from qiskit.finance.applica... | qiskit-runtime/tutorials/Portfolio_Diversification.ipynb |
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# # Quantile Regression
#
# [scikit-learn](http://scik... | _doc/notebooks/sklearn/quantile_regression.ipynb |
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# # Import Libraries and Download the Dataset
# + _uu... | transfer-learning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | roberta_cdqa.ipynb |
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# + id="aBtvWJNQhBM5" colab_type="code" colab={}
from sklearn import model_se... | Chapter08/tuning_using_gridsearchcv.ipynb |
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# # What we'll see:
# - Introduction to pandas
# -... | data_mining/0-what_we_will_see.ipynb |
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# ## **Building a 5 Layered deep neural netw... | Credit_Card_Fraud_using_DNN.ipynb |
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# hash: 181f68e503c14848ca7b... | 01_Getting_&_Knowing_Your_Data/1. World Food Facts/Exercises.ipynb |
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# # 2021, Day 10: Synta... | main/2021/d10.ipynb |
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ScalarWaveCurvilinear.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | data/mulitple_linear_regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cwb2021experimentsV05.ipynb |
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# 1.ไน็ฆป็
# G60 (close-60ๅ็บฟ)/60ๅ็บฟ
# G40 (close... | ๆบๅจๅญฆไน /็ฎๆณ/ๆกๆถๅๅค--ๆพ็นๅพ.ipynb |
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# # Visualizing LUAD Gene Expression
# ### importing ... | Pandas & Data Visualization/Visualizing LUAD Gene Expression.ipynb |
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import os
import zipfile
# !bash setup... | source/notebooks/sagemaker_predictive_maintenance.ipynb |
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# + [markdown] colab_type="text" id="rwxGnsA92emp"
# ##### Copyright 2018 The... | site/en/r2/tutorials/eager/custom_training_walkthrough.ipynb |
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# <a href="https://colab... | Albumentation.ipynb |
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# # In this notebook the datsets for the predictor will... | notebooks/prod/.ipynb_checkpoints/n00_datasets_generation-checkpoint.ipynb |
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# # Exercise 10.1 - Solution
# ## Signal Classificatio... | Exercise_10_1_solution.ipynb |
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# ## Impor... | SpamDetection.ipynb |
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# # Random forest fraction correct analysis
# ### Tabl... | notebooks/legacy/lightheavy/fraction-correct-RF.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | Cap03/Notebooks/DSA-Python-Cap03-02-For.ipynb |
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#... | Wrangle_Data/Try_custom_search.ipynb |
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import random
import torch.nn as nn
import torch
impor... | 04b-RNN-GRU-hemolysis-fool-classifier.ipynb |
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# name: python37564bitvenv37virtualenv5... | examples/tsfresh_integration.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/examples/chemical_balance_lp.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D4_GeneralizedLinearModels/student/W1D4_Tutorial1.ipynb |
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# + [markdown] id="UJ7tbIrsI7Ij"
# K-means clustering
# + id="8FBA8626JDVi"
... | Kmeans.ipynb |
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# # Open the session of Tensorflow
# bash-3.2$ source... | code/tensorflow.ipynb |
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# <a href="https://colab... | HeartBeat.ipynb |
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# # Data reweighting by <NAME>
#
# This notebook contains an ... | src/notebooks/finance/interventions/kamiran_calders.ipynb |
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# # Deep Learning Project - Traffic Signs Image Classi... | Additional (older) notebooks/2021-03-22_DL_Project_Group_10_HV_NewConvLayer_Grayscaling_AddingDropoutLayers.ipynb |
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# # Plotting up salinity results from SalishSeaCast us... | notebooks/learning/Plotting_Salinity.ipynb |
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# # Linear Support Vector Classifier
import numpy as ... | notebooks/T8 - 1 - SVM - Linear SVC.ipynb |
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# # Examples of the BioSCRAPE package
# ## Biocircuit ... | examples/Advanced Examples - Direct Simulator Instantiation.ipynb |
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# Throughout this document the following imports and s... | Crypto/Strategy Backtesting/.ipynb_checkpoints/Multi Exponential Moving Average Strategy with Fibonacci Retrace Order Filling-checkpoint.ipynb |
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# # "Wine Quality."
# ### _"Quality ratings of Portug... | ML-101 Modules/Module 03/Lesson 02/Practice 2/.ipynb_checkpoints/Winequality - Homework-checkpoint.ipynb |
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# # Digit Recognition
# # Introduction
# In this not... | digit-recognition-notebook/digit-recognition.ipynb |
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# <a href="https://colab... | Report.ipynb |
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# # Testing re-orientation in shearflow + elongation.
... | examples/orientation/rsc_combiload.ipynb |
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# # DS Automation Assignment - <NAME>
# +
import pand... | MSDS600_CGREEN_WEEK5_ASSIGNMENT.ipynb |
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# # CoNLL_View_Doc.ipynb
#
# Notebook for viewing indi... | tutorials/corpus/CoNLL_View_Doc.ipynb |
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# # Solution Graded Exercise 8: Hopfield Network model... | project2/.ipynb_checkpoints/Ex8_firstName_lastName_000-checkpoint.ipynb |
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from thinkbayes2 import Pmf, Cdf, Suite, MakeJoint... | code/bayesball_1.ipynb |
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# # Embedding Multiple Graphs
#
# This demo shows you ... | docs/tutorials/embedding/Omnibus.ipynb |
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# # Flight Delay Pred... | Python/ml/Flight_Delay_Predictions.ipynb |
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# # Wiener Filter Implementation in TensorFlow
#
# To ... | notebooks/Tikhonov_filter/WienerTensorFlow.ipynb |
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# Goal of this is to look at the sentences and correla... | Explore Predictions.ipynb |
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import os
random_seed = 42
import csv
import random... | snli/.ipynb_checkpoints/00_EDA-checkpoint.ipynb |
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# <a... | Ch02/05_Data_Augmentation_Using_NLPaug.ipynb |
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# # Exercise 3
# Add the specified code fo... | exercise-3/exercise.ipynb |
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# # CENG796 - Project Submission
# This notebook is a... | UNetGAN/main.ipynb |
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# This notebook extracts syntatical features from the ... | FeatureExtraction/ExtractSyntaticalFeatures.ipynb |
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# # Part 1: Setting up the Model
# ### Import the req... | NLP-mini-project-text-generation/text-generation-openAI-GPT2.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Merge ... | notebooks/04-fz-merge-metadata-to-esco-crosswalk.ipynb |
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# %matplotlib inline
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# # OT for image color adaptat... | master/_downloads/acdb5c8d9a410d04b44379453a1620f0/plot_otda_mapping_colors_images.ipynb |
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# # Connecting Networks
# **scikit-rf** supports the c... | doc/source/tutorials/Connecting_Networks.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | IdeasTF.ipynb |
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# # Image Compression via K-means
# Source: CS229, PS3... | CS229_PS/PS3_Q5_KMeans_Compression.ipynb |
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# # **Behavioral Cloning**
#
# ## Writeup
#
# ### Thi... | writeup_report.ipynb |
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import re
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from bs4 import BeautifulSou... | ner/Extracting Character Networks.ipynb |
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# # MNIST
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i... | cd03.ipynb |
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# %%eigensheep --layer arn:aws:... | examples/Z3 SMT Solver.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/automated-machine-learning/forecasting-bike-share/auto-ml-forecasting-bike-share.ipynb |
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# + id="cIecysdeMIz2" colab_type="code" colab={}
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# + [markdown] colab_type="text" id="TBFXQGKYUc4X"
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# # Modelo 2021-09-28_Lab_Madrid_CopaBor_FondoBlanco_X... | notebooks/N_2021-09-28_Lab_Madrid_CopaBor_FondoBlanco_Xception_100ep.ipynb |
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# PREPARATION
import pandas as pd
import os
impor... | cleaning_data.ipynb |
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impor... | TAPI permutation count.ipynb |
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# # Assignment
#
# These are the top 10 mos... | module1-aws-sagemaker/Dask Assignment.ipynb |
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# ... | Examples/Notebooks/pdf_examples.ipynb |
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# + [markdown] id="TcYcW7FyCHL_"
# # 2.5 Common Runtimes
# + colab={"base_ur... | 02 DSA and ML Optimisation/ALGO 02 Big O Notation 5 Common Runtime.ipynb |
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# Numpy Bicimlendirme
# * **ndim**: boyut sayisi
# * ... | numpy_array_bicimlendirme.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/Intro_Debugging.ipynb |
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# # Files
#
# Python uses file objects to interact wit... | Complete-Python-3-Bootcamp-master/00-Python Object and Data Structure Basics/07-Files.ipynb |
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# <center> <h1><font size=7> Case Study C</font> </h1>... | course_content/case_study/Case Study C.ipynb |
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# <img src="https://drive.google.com/uc?id=1v7YY_rNBU2... | Session 02 - Variables and Data Types.ipynb |
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# Copyright 2010-2018 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | examples/notebook/sat/no_overlap_sample_sat.ipynb |
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import tensorflow as tf
import graphgallery
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# + id="WNUSBVDr0GEk" executionInfo={"status": "ok", "... | PennyLane/Data Reuploading Classifier/tutorial_data_reuploading_classifier.ipynb |
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# # Principal Components Analysis (PCA)
#
# PCA id... | 2017-12-15_CCMI_workshop/notebooks/2017-12-15_09_CCMI_Principal+Components+Analysis.ipynb |
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class Solution:
def removeDuplicates(self, s: ... | Stack/1223/1209. Remove All Adjacent Duplicates in String II.ipynb |
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#Importando librerias
import pandas a... | robo-automoviles.ipynb |
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# ## Data Analysis
# +
import numpy as np
import pand... | .ipynb_checkpoints/data_exploration_heart_disease-checkpoint.ipynb |
# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/sat/earliness_tardiness_cost_sample_sat.ipynb |
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# Covid19 Analysis
# Our goal is to built a featu... | over_crowded.ipynb |