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# + [markdown] colab_type="text" id="-zMKQx6DkKwt"
# #... | site/es/guide/keras/functional.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 102-rotate_image.ipynb |
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# # Help Desk - Easy
#
# ## Scenario
# A software comp... | PostgreSQL/12-1 Helpdesk - Easy.ipynb |
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#default_exp co... | nbs/constants.ipynb |
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# ## NB: Not complete
class LinkedList:
"""
S... | Sorting/linked_list_merge_sort.ipynb |
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import numpy as np
global np
import scipy as sp
import... | .ipynb_checkpoints/7 - Laplace Transform, Transfer Functions and Controls-checkpoint.ipynb |
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# ## Web requests
# +
import requests
response = req... | Web-requests.ipynb |
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# # JobPaw Web Scraping Project
# +
# import librarie... | Jobpaw Web Scraping/WebScraping.ipynb |
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# + ... | sessions/multi-modal-pe/Copy_of_Multimodal_Fusion_for_PE_Detection.ipynb |
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# # Jupyter Notebooks in the context of reproducible r... | Jupyter-Intro-Markdown.ipynb |
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# + [markdown] id="bnzPmx8P52UF"
# # Amost... | Amostragem.ipynb |
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import csv
import sys
csv.field_size_limit(sys.maxsize)
# Da... | experiments/Gather_data.ipynb |
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#
# <a id='heavy-tails'></a>
# <div id="qe-notebook-he... | day2/heavy_tails.ipynb |
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# ## Define User Interface
# +
import pandas as pd
im... | .ipynb_checkpoints/206 Retrieval v5-checkpoint.ipynb |
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# %%graph_notebook_config
{
"host": "host.docker.internal",
"port": 8182,
"ssl": false,
"gremlin": {
"traversal_source": "g"
}
}... | notebooks/notebooks/gremlin_basics.ipynb |
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# # Start here
#
# To run the following code you need... | examples/Workshops/CQE/_START_HERE.ipynb |
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# [![img/pythonista.png](img/pythonista.pn... | 16_metodos_groupby.ipynb |
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# + language="javascript"
# $('#appmode-leave').hide()... | week_11_molecularMechanics2/templateMD.ipynb |
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# %matplotlib inline
# Packages
import os, glob, ... | Code/5.Determinants_of_motives.ipynb |
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# # Convolutional Neural Networks
from keras.models i... | 8 - CNN.ipynb |
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# # Exploring Data
import pandas as pd
import seaborn... | Bicycle_Theft_Data_Analysis.ipynb |
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# %matplotlib inline
#
# PyTorch: 自定义 nn Modules
# --... | build/_downloads/c46b93d9702fdf92953c03ad2012b460/two_layer_net_module.ipynb |
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# # 做一个 Vi... | train-robot-arm-from-scratch/part2/env.py.ipynb |
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# # Lab 1: Linear models
# + [markdown] slideshow=... | labs/Lab 1a - Linear Models for Regression Solution.ipynb |
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# # 10. Momentum and Adaptive Learning Rates
# We will... | Deep_Learning/02-Modern_Deep_Learning-03-Momentum-and-Adaptive-Learning-Rates.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | tests/cut_halo_catalog.ipynb |
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# + [markdown] id="V7gs1I40uvmM"
# # Introdução
#
# Utilizaremos um conjunto ... | Python/Machine Learning With Python/Computer Vision/Keras 101.ipynb |
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# # Using simple Deep Neural Network to predict Count ... | Notebooks/.ipynb_checkpoints/2Model-Final-checkpoint.ipynb |
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# + tags=[] cell_id="da2a0e78-faf0-4683-8498-ffdd1ce40... | mentor_matching_knn.ipynb |
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import requests
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# -
from core.confi... | Setup_Operation/put_all_labels_into_training_job.ipynb |
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# # Fetch guter... | notebooks/download_gutenberg_poetry.ipynb |
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# # Example: Centroid Vetting.
# ### How to look for c... | example_notebooks/Centorid_Vetting_Example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | static/workshops/2021/UNISTRA_w1_job_recommender.ipynb |
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# # Cross-validation
# **import libraries*... | Predictive Modeling/Classification Models/Cross-validation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | vndb_contentbased.ipynb |
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import json
import os
import cv2
from modelOCR im... | predict.ipynb |
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# %pylab inline
import os
import numpy as np
impo... | NO.ipynb |
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# # Time Series Forecasting
# In this tutorial,... | notebooks/source/time_series_forecasting.ipynb |
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# ### 导入需要的库
from keras.layers import Bidirectional, ... | VAE_cn/BiLSTM-VAE.ipynb |
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# + id="EtJSrue8JcSs" colab_type="code" colab={} execu... | models/memes_data_exploration.ipynb |
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# # 1일차 Quiz
#
# <div align='right'><b> 류회성(<NAME>)</b... | code/Day01/Day01_quiz.ipynb |
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import requests
headers = {
"Authorization": '<KE... | v1/Untitled.ipynb |
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# # setup
# +
# %%writefile ../setup.py
from setuptoo... | gatzzt/.ipynb_checkpoints/develop_notebook-checkpoint.ipynb |
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conda install -c conda-forge textblob
conda install -... | CONTRIBUTION/Jupyter notebooks/Sash002.ipynb |
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# # The Unique Properties of Qubits
from qiskit impor... | content/ch-states/old-unique-properties-qubits.ipynb |
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# # Getting started with the practicals
#
# ***These n... | practicals/Originals/week_1.ipynb |
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# # Question and Answer
import logging
import json
fr... | Transformers/Tasks/question-answering-simple-usage.ipynb |
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import pandas as pd
import plotly as pl
import ipy... | .ipynb_checkpoints/vis-prototypes-checkpoint.ipynb |
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# ### Imports
# +
import torch
import os
... | examples/molecule_dataset.ipynb |
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# # Goal
#
# The objective of this notebook is to demo... | source/Mlos.Notebooks/ComputingPareto.ipynb |
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# # Multiple Linear Regression for Robot Calibration
#... | MutiLinearRegression_robot_calibration.ipynb |
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# # CX 4230, Spring 2016: [09] Cellular Automata
#
# T... | Lab/09--ca.ipynb |
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#import all of the necessary packages for muliple clas... | classification_models (3).ipynb |
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import pandas as pd
# Read in federal level data
fis... | cleaning/01_cleaning_code_by_state/AR_cleaning.ipynb |
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from __future__ import absolute_import, division, ... | V12 - PPS trimming with filtering + try to overfit IQ model.ipynb |
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# # Bayesian Model Com... | notebooks/07-oh-modelcomparison.ipynb |
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# ### day_6_class_cone
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class Cone()... | day6/day_6_class_cone.ipynb |
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# # Analyzing COVID-19 Data in Python
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# + [markdown] _cell_guid="e61ef2d8-f315-4f7f-b07e-1de... | Archive/Starter U-net.ipynb |
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# This notebook shows the MEP quickstart sample, which ... | datasets/probav/QuickstartExample.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Theano 条件语句
# `theano` 中提供了两种条件语句，`ifelse` 和 `swi... | lijin-THU:notes-python/09-theano/09.06-conditions-in-theano.ipynb |
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#Import Pandas library
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#Load ... | worldcup/python/Visualize Results.ipynb |
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from datetime import datetime
import osmnx as ox
i... | notebooks/cc0103_analyze_wbr_trips.ipynb |
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i... | Learn_OP_Inference.ipynb |
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# # Thermal Infrared Remote Sensing of Snow
#
# :::{ad... | book/tutorials/thermal-ir/thermal-ir-tutorial.ipynb |
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# + [markdown] id="i1h7LAlVa7Gu"
# Importing the Libra... | jupyternotebooks/gold prediction/Gold_Price_Prediction.ipynb |
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# 1st.
# ## 2팀 - Walmart sales price prediction
#
# - ... | Past/DSS/Regression/feedback_from_DS.ipynb |
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# # Section 2: Implementation of LDA
# To further und... | _build/jupyter_execute/Jigsaw.ipynb |
# -*- coding: utf-8 -*-
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# # Type S Error in Fixed ... | examples/type_s_error.ipynb |
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# **Download** (right-click, save target as ...) this ... | 8-Labs/Lab071/Lab071.ipynb |
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# _You are currently looking at **version 1.0*... | Applied Text Mining/Week 1/Working+With+Text.ipynb |
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imp... | testing/_datas/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# ## Compare Peggy WxPAK (Coa... | PrawlerDeployments/2019_MetComparison/2019Feb_comparison_PS.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | sagemaker-experiments/associate-hyper-parameter-tuning-job/associate-hyperparameter-tuning-job.ipynb |
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# Plotting One dimensional Random walk
#importing nec... | 1D Random Walk.ipynb |
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# + [markdown] id="IH_JF94hK350"
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# https://www.youtube.com/watch?v=kz_NJERCgm8 : Algori... | 28_Stock_Market/2_MACD/1_Single/MACD.ipynb |
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# # Starting with dowhy for Causality inference analys... | notebooks/causalInference.ipynb |
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# Spark Imports
from pyspark.sql import SparkSession
i... | 01_Spark_DataFrames/05_Dates_And_Timestamps.ipynb |
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im... | WorkingChatBot.ipynb |
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from trico... | examples/cohort.ipynb |
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# ## Importations
# Importations
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# # Generate list of files to rescue
# Data Rescue Bou... | notebooks/files_to_rescue.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Probabelistic Modeling
#
# As we saw, pr... | exercises_notebooks/05_Probabelistic_Modeling_Naive_Bayes.ipynb |
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# # Spark Dataframes (and RDDs) for manipulating text
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# <a href="https://qworld.net" target="_bl... | Notebooks/.ipynb_checkpoints/Variational_Quantum_Eigensolver(VQE)-checkpoint.ipynb |