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import pandas as pd
import numpy as np
import praw... | Jupyter_Notebooks/The Attempts/data_collection3.ipynb |
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# # Introduction to Digital Earth Australia <img align... | notebooks/01_Beginners_guide/02_DEA.ipynb |
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# Instalando as bibliotecas necessárias
# !pip install ... | tutoriais/notebook_googlenews_sheets.ipynb |
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from addit.dit import rundit, runditfold, ... | snippets/test/DIT folded voigt.ipynb |
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# # Density-based
# ## EPS
# ## QSAR Dataset
import ... | Classification/Clustering/DBClustering_QSAR.ipynb |
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# # 4.11 – Practice Problem 2
#
#
# ## Saturate... | Modules/Module-4-Separation-II/4.11 - Practice Problem 2.ipynb |
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# # Twitter scraping at scale - leverage multiprocessi... | _notebooks/2020-10-27-Twitter-scraping-at-scale.ipynb |
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# Este código lo que hace es tomar datos de las magnit... | Guia_1/Problema_5/Indent_star.ipynb |
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# # CHEN 5595 Homework 1
# This HW will help you revi... | homework/hw1-questions.ipynb |
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# # Taylor problem 5.36 (with Example 5.3 graphs)
#
#... | 2020_week_2/Taylor_problem_5.36_atan2.ipynb |
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# # Noisy Labeling of Clinica... | notebooks/getting_started.ipynb |
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# # Deploy - Markov Chain
# +
import numpy as np
impo... | codes/ml/deploy_mc.ipynb |
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# + [markdown] id="wiTx6AWVplGY" colab_type="text"
# M... | concepts/PCA/a_mathematical_discussion_of_pca.ipynb |
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# # Harry Potter Text Generator
# ## Grab Harry Potte... | NLP/NLP - Harry Potter Generator.ipynb |
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import requests
import json
import pandas ... | olhcv/data_scraper.ipynb |
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# # Model Training Script
# ### Necessary Lib... | model_training_notebook.ipynb |
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import re
import pandas as pd
# ## df_area
# github仓... | JupyterNotebookFile/.ipynb_checkpoints/LTS_DXYArea-checkpoint.ipynb |
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# **Download** (right-click, save target as ...) this ... | 8-Labs/Z-Fall2021/Lab15/Lab15.ipynb |
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# + [markdown] id="rFvcIe4qz_2t"
# # Fine Tuning Trans... | transformers_ner.ipynb |
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# # Introduction to Python
#
# ## [Python Built-in D... | Notebooks/01_Python_Datatypes.ipynb |
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# # Calculate Angular Scale of BAO
# A notebook for c... | notebooks/trunk/cosmology.ipynb |
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# + [markdown] id="MzMH6Q8yWV7O"
# ## 유사한 영화 추천
# + [markdown] id="_yNok0aGW... | NLP/cos_similarity.ipynb |
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# # Introduction to Classical Machine Learning
#
# <di... | notebooks/summer-school/2021/lec4.1.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Tutorials/Day-04/.ipynb_checkpoints/Nyquist Frequency Demo-checkpoint.ipynb |
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import gc
from datetime import datetime, timedelta... | Elo Merchant Category Recommendation/code/BaseLine_New.ipynb |
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# # Funciones
#
# Una función es un bloque de código e... | Intro/Clase6/.ipynb_checkpoints/FuncionesORG-checkpoint.ipynb |
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# # Nigerian Music scraped from Spo... | 5-Clustering/1-Visualize/solution/notebook.ipynb |
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import numpy as np
from ssd_training import plot_... | CRNN_log.ipynb |
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# # Word embeddings
#
# 단어 임베딩(Word Embedding)이란 텍스트를 ... | 03RNN/00word_embedding.ipynb |
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# <img src="images/logodwengo.png" alt="Banner" width=... | Wiskunde/GrafiekenFuncties/1000_Parabool.ipynb |
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# + [markdown] colab_type="text" id="8WE-5f42Lo19"
# #... | Data_Engineering/NLP Pipelines/.ipynb_checkpoints/cleaning_solution-checkpoint.ipynb |
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# Find the markdown blocks that say interaction requir... | templates/2.) Create data pipeline.ipynb |
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import pandas as pd
import os
def merge(folder_path):
... | Merge Datasets.ipynb |
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import csv
import json
import sys
import os
sys.pa... | trainingTool.ipynb |
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# # Modules
# %pylab --no-import-all inline
#import E... | Python/Spielwiese.ipynb |
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import pandas as pd
import unicodedata
... | Unicode.ipynb |
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# # Capstone Project - The Battle of Neighbourhoods (P... | Week4/Capstone Project - The Battle of Neighborhoods - Business Proposal.ipynb |
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# My installtion instructions: https://gitlab.com/-/sn... | nb_dev_python/baselines_PPO_cartpole.ipynb |
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# # Assignment 2
#
# Before working on this assignment... | 2-5 Applied Plotting, Charting & Data Representation in Python/Assignment2.ipynb |
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# ## Exploring the data using graphs
# To make predi... | notebooks/Data Exploration.ipynb |
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# ###### Content under Creative Commons Attribution li... | lessons/06_Lesson06_Assignment.ipynb |
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#hide
# !pip install -Uqq... | fastbook/clean/11_midlevel_data.ipynb |
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# # `ParsePipeline` Basics
# Here I demonstrat... | examples/parse_parsepipeline.ipynb |
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# # Introduction
#
# We begin with assignment to varia... | PY0101EN-0-0-Variables, assignment and operator precedence.ipynb |
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# # Preprocessing
#
# All four types of inputs
#
# 1. ... | notebooks/jason/.ipynb_checkpoints/0_data_preprocessing-checkpoint.ipynb |
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import matplotlib.pyplot as plt
from sklearn.datasets ... | 01-Lesson-Plans/19-Supervised-Machine-Learning/2/Activities/07-Ins_ROC-Curves/Solved/Ins_ROC-Curve.ipynb |
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import os
path = os.path.abspath(os.path.join('..','..... | examples/wellproductivity/2a-gas_productivity_index.ipynb |
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import pandas as pd
from numpy import genfromtxt
from ... | output/05_EPIC_annotation_cDMR.ipynb |
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# + id="LASAZXP9yNdd"
# Copyright 2020 Google LLC
#
# Licensed under the Apac... | src/python/tensorflow_cloud/tuner/tests/examples/ai_platform_vizier_tuner.ipynb |
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# ### NASA Mars News
# +
#import dependencies
from bs... | Mission_to_Mars.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BUILD_PROJECT.ipynb |
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import os
from flowserv.tests.workflow import prep... | examples/Prepare Post-processing Data.ipynb |
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# + execution_event_id="d5b075f5-d873-4a80-bfe5-5bd130... | notebooks/billy.ipynb |
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# # Create/Connect to Dask Cluster
#
# In this example... | notebooks/dask-dc-load.ipynb |
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# # analysis benchmar... | tests/lpr-analysis.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Jigsaw-toxic-comment-classification_LSTM_ATTENTION.ipynb |
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# # Machine Learning Solutions
#
# Note that you can'... | solutions/solutions_machine_learning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | jane_w4__ip.ipynb |
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# # Advanced Jupyter
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# At JupyterCon, I learne... | notebooks/2-Jupyter/Advanced_jupyter.ipynb |
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#
# # Getting Started
#
# ML Ops is gaining... | notebooks/Retail/04_Operations_Layer.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | practical-data-science-specialization/course-1-analyze-datasets-and-train-models-using-automl/week-1-explore-use-case-and-analyze-dataset/register_and_visualize_dataset.ipynb |
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# # Tutorial 10: Custom Controllers
#
# This tutorial ... | tutorials/tutorial10_controllers.ipynb |
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# 安装watermark
# !pip install watermark
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conf ... | ETL-Examples/src/main/python/pyspark-sql-examples/spark_join_and_aggregation_retail.ipynb |
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# # TissUUmaps Jupyter integration with Spage2vec
#... | examples/spage2vec_TM.ipynb |
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# # pYPKa_Z_TEF1
# ###F... | notebooks/pYPKa_Z_TEF1.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | astr-119-session-7/astr-119-hw-3.ipynb |
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#hide
from mlseo.core import *
# # mlseo
... | index.ipynb |
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# # Introduction to `geopandas`
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# ### <font colo... | Lab10/Lab 10 - Geopandas.ipynb |
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# # Facebook
# ## Get the data
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page_url = 'https... | Chapter03/Chapter3.ipynb |
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from sklearn.metrics import mean_squared_error as MSE
import matplotlib.pyplot as plt
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# + [markdown] id="view-in-github" colab_type="text"
#... | module1-statistics-probability-and-inference/Xander_Bennett_DS7_LS_DS_131_Statistics_Probability_Assignment.ipynb |
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# 
# language: python
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# # Exogenous Process modeling
#
# #... | notebooks/Stochastic_Generators/Ohm_Exogenous_Process_Modeling.ipynb |
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# <img src="images/usm.jpg" width="480" height="240" a... | labs/lab_05.ipynb |
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# # GPT batch runner; OLCI L1 to L2 (C2RCC & IdePix)
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# # Playing around with signal classes
#
# Here we are... | example_notebooks/Signals.ipynb |
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# ## Objective
# Remove the signal that explains $Y$ in $... | Experiments/20181114/Regression.ipynb |
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# You are given a string s that contains some variables, along with a lookup table that contains key-value pairs.
# For example, in the st... | people_ai.ipynb |
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# # Using a Ste... | 02_Stewart_Py_Controller - Test Datapoints.ipynb |
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# # Option pricing
# ---
# <style>
# table {
# margin:... | notebooks/.ipynb_checkpoints/option_pricing-checkpoint.ipynb |
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# # Models
import re
import unicodedata
import numpy ... | notebooks/models.ipynb |
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# # VAE for MNIST
#
# The purpose of this demo is to... | vae.ipynb |
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import gmaps
import pandas as pd
import numpy as np
d... | GMaps/CTA-GMaps.ipynb |