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import pandas as pd
from anndata import read_h5ad... | scripts/practiceScripts/scRFE-Duplicate-Jul24.ipynb |
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import torch
# 왜 .py랑 jupyternotebook에... | tiny-imagenet200-train-test.ipynb |
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# + [markdown] id="P9bJCDjdlgG6" colab_type="text"
# # **Tame Your Python**
#... | MachineLearning_DataScience/Demo81_Clustering_KMeans_VisualAid.ipynb |
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# # Data Analysis and Visualisation
# Three popular m... | 18 - Data Analysis and Visualisation.ipynb |
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# # "Self-Supervised Monocular Depth Estimation in Aut... | _notebooks/2022-01-17-monocular-depth-estimation.ipynb |
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# ## Quantitative Performance Test (Computational Time... | Quantitative Performance Test (Computational Time) of SUMMA Simulation and Reproducibility of Figure 9 of Clark et al., (2015b) in Binder .ipynb |
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import pymongo
from pymongo import MongoClient
import ... | Mongo_Producer.ipynb |
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# # Mask Detection using MobilenetV2
# Here ... | WithandWithoutMaskDetection.ipynb |
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# + colab={"base_uri": "https://localhost:... | docs/dymos_book/examples/mountain_car/mountain_car.ipynb |
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// Add the "bootstrap" facility to t... | notebooks/flint_starter_notebook.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | Linear Regression.ipynb |
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# + id="LvLRoEFSIwsx"
import numpy as np
import matplotlib.pyplot as plt
impo... | Tugas(Kuis)Pertemuan3DataMining.ipynb |
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# # Visual perception for autonomous vehicl... | source/sagemaker/active-learning-visual-perception.ipynb |
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key = pd.read_csv("data/key.csv")
key.tail()
k = key.... | weather2.ipynb |
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# # Navigating a human assembly with gfabase
#
# This ... | notebooks/gfabaseAssemblyNavigation.ipynb |
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import numpy as np
import scipy.stats as st
import glo... | notebooks/60_historical_warming.ipynb |
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# ### ![](https://ga-dash.s3.amazonaws.com/production/... | unit-2-control-flow/instructor-resources/09-unit-lab-2/pyth621-day2-lab-control-flow-solutions.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# %... | scripts/results_final/compare_openwhisk_k8s_matrix/plot_notebook.ipynb |
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# CellStrat - Intro to Artificial Neural Networks
... | deeplearning/perceptron/dl_python_perceptron_3.ipynb |
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# http://scikit-learn.org/stable/modu... | Scikit-learn/Preprocessing - standardisation, mean removal and variance scaling.ipynb |
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# + [markdown] id="yHG6wUbvifuX"
# # Forecasting with ... | 4. Time Series/Udacity/04_forecasting_with_machine_learning.ipynb |
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# <img src="Logo.png" width="100" align="l... | 3. Supervised task.ipynb |
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import imp, glob
import pandas as pd
import makesy... | Refactoring.ipynb |
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# ## 第十章 LaTeX进阶
#
# ### 导言
#
# LaTeX作为一款文档排版系统，拥有众多文档... | chapter-10/section0.ipynb |
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# + [markdown] id="X4cRE8IbIrIV"
# If you'... | examples/question_answering-tf.ipynb |
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# + [markdown] colab_type="text" id="LN0nZwyMG... | cgames/05_sonic/sonic_dqn.ipynb |
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import numpy as np # to handle matrix and data ope... | model files/nni/RNN Hyperparameter Tuning/TunedKaggleModel.ipynb |
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from lib.utilities import *
# %matplotlib inline
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... | sample_analysis_freq.ipynb |
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# ## Supplementary Figure - Marginal Emissions
# <NAME... | GridModel_GridImpact/SupplementPlotting/supfig10_mefs.ipynb |
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weather = pd.read_csv("../weather3_180703.csv")
weathe... | weather2_code/station1-dropZeroUnits.ipynb |
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# <table width="100%"> <tr>
# <td style="back... | bronze/B64_Rotations.ipynb |
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# + [markdown] heading_collapsed=true
# # ... | m04_v01_store_sales_prediction.ipynb |
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# + [markdown] id="Ar6WxXxBzAuk"
# This notebook is inspired from a very good... | exp/timit_notebook_training/timit_experiment.ipynb |
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import numpy as np
import pandas as pd
import faiss
import time
from sklearn.... | code/cluster.ipynb |
# -*- coding: utf-8 -*-
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# +
using Convex, SCS
# D... | Code/Chapter 4 - Local Descent/4.5.ipynb |
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# # Deep Learning
# The _objectives_ in the following ... | Interview_Case_Studies/EMP_DataScientist_CS/04_DL_EMP.ipynb |
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# # Internship
#
# ## 5. To Explore Business Analytics... | 5. To Explore Business Analytics.ipynb |
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# + id="azdRK1MoR87I"
# !pip install transformers[sentencepiece] datasets
# ... | huggingface_course/summarization.ipynb |
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# # The surjection operad
#
# In this notebook we desc... | notebooks/surjection.ipynb |
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# ##### 1. Consider the tuple tuple1=("A","B","C" ), w... | Coursera/Python for Data Science-IBM/Quiz/Week-2/Lists-and-Tuples.ipynb |
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# # Serialization - saving, loading and checkpointing
... | chapter03_deep-neural-networks/serialization.ipynb |
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# ### create figure for hierarchy example
# 1. get lat... | notebooks/hierarchy-model/create_graph.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2020.1/Grupo 2/code/entregas/Assign9_BaseEstresse.ipynb |
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# name: python382jvsc74a57bd031f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e1... | seven.ipynb |
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from cgspan_mining.config import parser
from cgspan_mi... | main.ipynb |
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import re
import requests
import praw
impor... | .ipynb_checkpoints/POE Bot-checkpoint.ipynb |
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# # Lecture 3 Exercises
# ## Exercise 1: ... | 03-basic-python-II/lecture-3-exercises.ipynb |
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from IPython.display import display, HTML
import s... | spot/tests/python/product.ipynb |
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# ! pip install wordcloud wikipedia
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import wikipe... | my_cloud (3).ipynb |
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# + deletable=true editable=true
import pandas as pd
i... | mydata.ipynb |
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# ## What is NumPy?
#
# <ul><li>NumPy is a Python libr... | Week_8/.ipynb_checkpoints/Week 8 - Numerical Python (NumPy) Practice-checkpoint.ipynb |
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# # Recurrent Neural Network - Linear... | notebook/machine-learning/deep_learning-recurrent-neural-network.ipynb |
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# + [markdown] id="BRAp37uklN9X"
# # Class \#4 activities
# + [markdown] id=... | materials/class/class_4_notebook.ipynb |
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# # Blackjack Game
#
# #### Our Blackjack House Rules
... | 100 Days of Code The Complete Python Pro Bootcamp for 2022/Day 11 - Blackjack Game.ipynb |
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from gensim.models.word2vec import Word2Vec
import ker... | core/embedding.ipynb |
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# + [markdown] id="2WPi0C6TGwm3" colab_type="text"
# # Basic Tutorial for Ten... | tutorials/BasicTutorialForTensorFlow.ipynb |
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# ## Updating Constraint Matrices
#
# To implement Gra... | 4_7_SLAM/2_1. Include Landmarks, exercise.ipynb |
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# # Module 1: Introduction to Exploratory Analysis
#... | module_1_introduction/1_3_loading_and_understanding_data.ipynb |
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# # Decorators
#
#
# Decorators can be thought of as f... | Python/01-Decorators.ipynb |
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# + [markdown] id="p1WoKPoU6oQ5"
# # Normalizing and encoding the data
# + i... | data_processing/data_normalization_and_tokenization.ipynb |
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# ### Installations and Data loading
# !pip install x... | loan_delinquency_project.ipynb |
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# + [markdown] colab_type="text" id="Ic4_occAAiAT"
# ##### Copyright 2018 The... | site/en/r2/tutorials/keras/basic_text_classification.ipynb |
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# + id="mHk5rsUalwiO"
from tensorflow.keras.datasets.mnist import load_data
... | mnist_classification.ipynb |
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# # Naive Bayes Lab
# ## Text Classification with Naiv... | Text_Classification_with_Naive_Bayes.ipynb |
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import json
with open('../tmp/history.2018.log', ... | notebooks/historical.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | hail/python/hail/docs/tutorials/03-tables.ipynb |
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import re
from multiprocessing import Pool
from b... | Scrape Corpus.ipynb |
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# # Interactive Map of Playgrounds in Houston, TX
#
... | assets/code/HoustonPlaygrounds.ipynb |
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names = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14... | 09. Python Tuples/07. Slicing of Tuple.ipynb |
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# ### having upper and lower limit
def isValidBST(sel... | 098_Validate_Binary_Search_Tree.ipynb |
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# # NumPy
# ## Introduction to NumPy Arrays
# Arrays ... | linear_algebra/numpy_intro.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | src/data-512-a7.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | nbs/dl2/05a_foundations.ipynb |
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from model import learn_opinion_dynamics
... | Reddit_Analysis/Learnable Opinions on Networks/Untitled.ipynb |
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import pandas as pd
import numpy a... | 2_data_wrangling_college_grades_e.g/1_Courses_Pts_Summarize_Grades.ipynb |
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# ## Receiver operating characteristic curves
#
# Supp... | ROC.ipynb |
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# + [markdown] id="SsSUG2ffdRIC"
# # Packages and cons... | archived_lectures/Network-Modeling-Summer-School-2021/Model-Repositories-and-Source-Control/2) Biomodels-Demo-last night.ipynb |
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## Python course for data scientists i... | .ipynb_checkpoints/lec1_step6-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment_3.ipynb |
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# # Array creation routines
# ## Ones and zeros
import numpy as np
# Create a new array of 2*2 integers, without initializing entries.
np.... | 1_Array_creation_routines_Solution.ipynb |
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# # Introduction to TensorFlow Data Validation
#
#
# #... | courses/machine_learning/deepdive2/production_ml/solutions/tfdv_basic_spending.ipynb |
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# ## 0. Pre-processing of inut data to allow correct s... | notebooks/0. Pre-processing.ipynb |
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import csv
import io
import os
import mercantile... | .ipynb_checkpoints/mask_from_probs-checkpoint.ipynb |
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# + [markdown] id="7nyLNypHwp-S"
#
# *LSTM Basics*
#
#... | 3. NLP/AZ/Text Classification/02_LSTM/01_nlp_lstms_with_reviews_subwords_dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | trabalhoEstatistica.ipynb |
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# ## 解压数据集
# +
# # !c... | CNN.ipynb |
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# + cellView="form" id="KQa9t_gadIuR"
#@title Copyright 2022 The Cirq Develop... | docs/gatezoo.ipynb |
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# # Analysis ... | notebooks/global_covid-19_graphs.ipynb |
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# %%
# %load_ext autoreload
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import ... | im/ib/data/extract/gateway/notebooks/AmpTask1086_Get_metadata_for_futures_universe.ipynb |
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# # Matplotlib
#
# Matplotlib ist ein Python-Modul zur... | Lektion_12/fragen_lektion_12.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/bus_schedule.ipynb |
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ad = pd.read_csv('advertising.csv'... | 7. Machine Learning/1. Gradient Descent/Practice/.ipynb_checkpoints/Solution-checkpoint.ipynb |
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# # The final project
#
# There is no one way to do al... | content/assignments/project.ipynb |
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# # Extract barrier island metrics along transects
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