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# + [markdown] id="anHe8KleuzQV"
# ## Importing Module... | nlp_imdb_reviews.ipynb |
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# # CME 193 - Introduction to Scientific Python
#
# Th... | nb/Lecture_1.ipynb |
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# # LSST DM Stack Image Quality Walkthrough
#
# <br>Author(s)... | Validation/image_quality_demo.ipynb |
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from ISR.models import RRDN
from ISR.mod... | .ipynb_checkpoints/ISR_model_test-checkpoint.ipynb |
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# hash: dca0ade3e726a953b501... | code/analysis/modelling_growth.ipynb |
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# ### 1. Which of the following would be e... | troubleshooting-debugging-techniques/week-3/quiz-handling-bigger-incidents.ipynb |
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# %matplotlib notebook
import control as c
import ... | ICCT_hr/examples/03/.ipynb_checkpoints/FD-18-PD_regulator_s_operacijskim_pojacalom-checkpoint.ipynb |
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# # Extracting Histogram XY Series
#
# This notebook i... | simple_ipynb/Histogram_To_HighchartFormat.ipynb |
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# # Python Asynchronous I/O Tutorial
impo... | python_asyncio.ipynb |
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# ## T-SNE for tabular playground series
# imports fo... | notebooks/t-sne_for_tps_202105.ipynb |
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# ## Gathering OTLY Twitter Mention Data
# In this sec... | Jake_Code_Files/PreIpoTwitterScrape.ipynb |
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import findspark
findspark.init()
from pyspark.sql imp... | apache-spark/python/decision-trees/Decision Tree Basics.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
x ... | 03Linear-Regression/01Simple-Linear-Regression.ipynb |
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import sys, io, os
import numpy as np
from tqdm import... | .ipynb_checkpoints/MakePCA-checkpoint.ipynb |
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# ## GreenBuildings3: Build & D... | notebooks/GreenBuildings3.ipynb |
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# # EXPLORING FURTHER RELATIONS OF METRICAL STRENGTH A... | MeterExploration.ipynb |
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import torch
from sklearn import datasets
from sklearn... | real-nvp-moons.ipynb |
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# ### Deep Q-Network
# Acknowledgement: https://medium... | tensorflow/Part 4 - Deep Q-Networks and Beyond.ipynb |
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import pandas as pd
import geopandas as gpd
facilitie... | data-processing/notebooks/capacity_tab-africa_health_facilities.ipynb |
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import warnings
import numpy as np
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# # Keyboard shortcuts
#
# In this notebook, y... | jupyter-notebook/keyboard-shortcuts.ipynb |
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from newspaper import Article
# import n... | notebooks/summarizing_articles.ipynb |
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# # About this book
#
# The github repository for this... | synestia-book/docs/.ipynb_checkpoints/AboutThisBook-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ML_Example_Trivial_Linear_Regression_from_In_memory_Array.ipynb |
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# ## Titanic 沉没
#
# 这是一个分类任务，特征包含离散特征和连续特征，数据如下：[Kaggl... | competitions/Titanic/titanic.ipynb |
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from scipy import signal
from s... | Dissertation-Notebooks/Chapter-2/Control Chart.ipynb |
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# + _uuid="e34ef6128dcfff76f57c9b7d456b3f5ec1627a51"
i... | 3 mu sigma using news to predict news/lstm-baseline.ipynb |
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# ## Use greenflow to Build cuStreamz Examples
#
# The... | gQuant/plugins/gquant_plugin/notebooks/10_streamz.ipynb.ipynb |
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# # Imports
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... | random_forest.ipynb |
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# %config IPCompleter.greedy=True
import numpy as np
... | .ipynb_checkpoints/Q-Learning in Taxi-checkpoint.ipynb |
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# # Exploratory data analysis with labeled data
# Now ... | ch_11/3-EDA_labeled_data.ipynb |
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# ## Lab 10: Births
#
# Please complete this lab by pr... | labs/Lab-10-RegressionInference/lab10.ipynb |
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# + id="kjwyqkvwwoZw" colab_type="code" colab={}
# Imports
import pandas as p... | metrics/Metrics4.ipynb |
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# %autoreload 2
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import numpy as np
import pandas as pd
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# + active=""
# 编写一个反转字符串的函数。输入字符串以字符数组char []形式给出。
# 不要为另一个数组分... | String/0821/344. Reverse String.ipynb |
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# # Chapter 2 – End-to-end Machine Learning project
#... | handson-ml-zjh/2.end_to_end_machine_learning_project.ipynb |
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# # AIMA Python Binder Index
#
# Welcome to the AIMA P... | aimacode/index.ipynb |
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# Dependencies and Setup
# %matplotlib inline
impo... | Pymaceuticals/Pymaceuticals.ipynb |
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from __future__ import print_function
import warn... | practice/imdb/Simple IMDB Classification.ipynb |
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import scanpy as sc
import matplotlib.pyplot as plt
im... | TandBcells.ipynb |
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# # NLP
# Definition (source:Wikipedia)
# Natural lan... | NLP+datapreparation+with+notes+by+MSLO.ipynb |
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# # 3.7 Basic Statistical Learning Theory
#
# - Goal... | _build/jupyter_execute/ch03/ch3_7.ipynb |
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import pandas as pd
import numpy as np# x = np.linspac... | math&python/4_week/sample_distribution_evaluation.ipynb |
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# # Predict with Model
# ## Init Model
# + l... | jupyterhub/notebooks/scikit/scikit_linear/04_PredictModel.ipynb |
# ##### Copyright 2020 The OR-Tools Authors.
# 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 ... | examples/notebook/contrib/set_covering2.ipynb |
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import numpy as np
field=np.zeros([3,4])
bombas=[[0,... | Udemy/BuscaMinasQueue.ipynb |
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# # Alternative Way to Create RegionDS
#... | docs/allcools/cluster_level/RegionDS/01b.other_option_to_init_region_ds.ipynb |
# -*- coding: utf-8 -*-
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# # MATH50003 Numerical An... | sheets/week5s.ipynb |
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# + [markdown] id="162d91e9"
# # Let's che... | ensemble_code/six_one_ensemble.ipynb |
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# !ls
# !cat Q59.csv | wc -l
# !head -10 Q59.csv
im... | src/DataExploration/PrescriptionDataExploration-Copy1.ipynb |
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# ### Sirviendo modelos con MLFlow.
#
# Un caso rápido... | MLFlow Training/MlFlow Model and PyFunc.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] slideshow={... | slides/tut1_slides.ipynb |
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from PyQt5.QtCore import *
from PyQt5.QtGui import *
f... | UI/main_window.ipynb |
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# Importing Required Libraries
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# # Programming with Python
#
# ## Episode 3 - Storing... | lessons/python/ep3-lists.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | hm-ensembling.ipynb |
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import crypten
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# # Module 2 Assessment
# Welcome to the assessment fo... | occupancy grid.ipynb |
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import numpy as np
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# # DoRothEA: resource of Transcription Factor regulons
#
# ## In... | example/dorothea_introduction.ipynb |
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# + [markdown] id="kS4LWOtvO-mK" colab_type="text"
# # Introduction #
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from math import pi
import math
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import os
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# # Learning scikit-learn
# ## An Introduction to Ma... | code/tutorial.ipynb |
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# + [markdown] id="GdiYiYOH4Aaa"
# <a href="https://co... | Course 2 - Custom Training loops, Gradients and Distributed Training/Week 4 - Distribution Strategy/C2_W4_Lab_3_using-TPU-strategy.ipynb |
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#THIS WILL TAKE A LONG TIME- BUT ONLY NEEDS TO BE ... | settlement_segmentation/data/cloud_free/cloud_free.ipynb |
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import numpy as np
np.zeros(3)
np.ones((4,5))
np.ze... | NumPy.ipynb |
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# # 主成分分析
# ## 1 导入数据
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# # CaBi ML fitting champion
#
# 5/26: This is the bes... | machine_learning/.ipynb_checkpoints/cabi_ml_fitting_champion-checkpoint.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | notebooks/paper_figures/fig_7_ski/make_fig_7_gyro.ipynb |
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# ## Importing and prepping data
import pandas as pd
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# In this chapter we will make some "grids". A grid i... | notebooks/python3/grids.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import random
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# STEP 1: Import package code
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# # Clustering et word2vec
# Sur la base ... | tp4/drafts/draft_tp3_3.ipynb |
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import scrapbook as sb
import smtplib
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#Agenda
#Install Matplotlib
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | 10/optimization.ipynb |
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# # Problem Set 1 — Coding Part
#
# **Lecture:** Data ... | problems/problem-set-01-solutions/problem-set-01-solutions.ipynb |
# -*- coding: utf-8 -*-
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# # Simulation Experiments
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# IMPORTING PACKAGES
import struct
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# ## Extract amplicons from MAF alignment
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# # Meet Julia
# ## Variables
# **Documentation*... | Meet Julia.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 2
#
... | code/chap02-Mine.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'><img sr... | FINAL-TF2-FILES/TF_2_Notebooks_and_Data/01-Pandas-Crash-Course/.ipynb_checkpoints/01-Series-checkpoint.ipynb |
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# # Wrapping a fine-tuned Transformer
#
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