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import plot... | entwicklung-abstimmungen/votes-per-year.ipynb |
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# + [markdown] id="wlYDlfUjoTLX"
# # **Principal Component Analysis**
#
# --... | Datascience_With_Python/Machine Learning/Algorithms/Principal Component Analysis/prinicpal_component_analysis.ipynb |
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# %matplotlib inline
import os
import glob
import ... | notebooks/s_b1253_21-umap-parametric.ipynb |
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numero = []
numero = int(input('Digite um número: '))
... | 2-Projetos-Jupyter/Exemplos/3-Inverter-numero.ipynb |
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from __future__ import print_function
# #... | day2/01. numpy - basic.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | StardistExample2D.ipynb |
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import numpy as np
import math
import functools
fact = math.factorial
def... | Math/Precalculus/Chapter 11 Sequences,Probability and Counting/part07-exercise.ipynb |
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import os
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sys.path.append('..')
from util i... | doc/TimingToDatetime.ipynb |
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# + [markdown] colab_type="text" id="3DR-eO17geWu"
# #... | Convolutional_Neural_Networks/.ipynb_checkpoints/2175052_ML_Lab8_Safir_Motiwala-checkpoint.ipynb |
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# # Microtubule Dataset
#
# - We ... | notebooks/Detection/1_Build_Dataset/In Progress/Microtubule/Microtubule.ipynb |
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# # Visual image search
# _**Using a Co... | visual-image-search-gluoncv.ipynb |
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# # Demonstration of the ear clip module
#
# This modu... | jupyter/Demo.ipynb |
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# %matplotlib inline
#
# # Demo of DBSCAN clustering ... | Activity-clustering.ipynb |
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# ## Calculating Covariance and Correlation
# *Sugges... | 23 - Python for Finance/3_Measuring Investment Risk/6_Calculating Covariance and Correlation (5:00)/Calculating Covariance and Correlation - Solution_Yahoo_Py3.ipynb |
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import os
import topogenesis as tg
import py... | notebooks/OLD/2a_PV_potential_highres.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="fQm1Qq3LJJCb" outputId=... | level-1-ETL/bigdata2.ipynb |
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# In this notebook we'll use localpdb to analyze the a... | docs/viral_ccs.ipynb |
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# + [markdown] graffitiCellId="id_xdetsnl"
# # Impleme... | data structure/stack and queues/stack/Implement a stack using a linked list.ipynb |
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# ## Let's now compare the Daily Cases and Daily Death... | COVID-19 Visualization using Pandas and Matplotlib/src/Activity-4/Activity_4.ipynb |
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# + [markdown] id="cvi9K3W3QvP6"
# # Submitted by <NAME> (202011057)
# + [ma... | A_06_Dependency_Parser/NLP_A6.ipynb |
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import spacy
sp = spacy.load('en_c... | Prototyping/Clustering_Prototyping.ipynb |
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from model_utils import get_relation_t5_mo... | seq2seq/model/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | PytorchPracticeCap1_DataCamp.ipynb |
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# **The dataset** is collected from UCI Machine Learni... | applications/Parkinson's Disease classification.ipynb |
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# # nuScenes prediction tutorial
# <img src="trajector... | catkin_ws/prediction_tutorial.ipynb |
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# # Python期末大作业
# #### 数据爬取与分析
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import... | final.ipynb |
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# + [markdown] id="gbt8Q6j3RJxW"
# ![JohnSnowLabs](https://nlp.johnsnowlabs.c... | tutorials/Certification_Trainings/Healthcare/1.5.BertForTokenClassification_NER_SparkNLP_with_Transformers.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter 5/Exersize 5. Using scatter plots to view bivariate relationships.ipynb |
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# <table align="left" width="100%"> <tr>
# <t... | silver/.ipynb_checkpoints/C04_Quantum_Gates_With_Complex_Numbers-checkpoint.ipynb |
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from azureml.core import W... | chapter09/02_run_remote.ipynb |
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# # Refrigeration cycle Analysis - OOP
#
# * expressio... | notebook/Unit4-3-RefrigerationCycle_OOP.ipynb |
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# # Case study with mixed audio samples
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#must... | src/.ipynb_checkpoints/Case Study 3-checkpoint.ipynb |
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import numpy as np
import pickle as pk
import openpnm ... | examples/notebooks/networks/extraction/berea_ICL_benchmark.ipynb |
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import pandas as pd
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import matplotl... | Medical Survey Correlation/Quest_spearman.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_Concepts_2.ipynb |
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# ## Weighted Hybrid Recommendation System
#
# In prac... | Item_based_cf/hybrid_recommendation.ipynb |
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# ## 学习 “yield”
# ### 结合xlwt写入xls文件
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from xlwt im... | xlwt-expirement.ipynb |
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# Import python modules
import os
import datetime
impo... | decipherd/notebooks/BCMVA_2_CHLDECIPHERD.ipynb |
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# # Predicting Genre based on Black Friday Transaction... | 03_PredictingPersonGenre.ipynb |
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# _You are currently looking at **version 1.1** of this notebook. To download notebooks and datafiles, as well as get help on Jupyter ... | _stats/hypothesis_2.ipynb |
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# <a href="https://colab... | face_mask_detector.ipynb |
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import sys
sys.path.insert(0, '..')
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i... | notebooks/genotype_benchmark_compressors.ipynb |
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# + id="1gJzp06G6MGs"
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from keras.preprocessing.text import text_to_word_sequ... | .ipynb_checkpoints/32. Data Preperation with Keras-checkpoint.ipynb |
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str_1 = "Hello World! I am learning data wrangling"
s... | Chapter01/Exercise 1.13/Exercise 1.13.ipynb |
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imp... | SVM/SVM_demo.ipynb |
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# # Notebook Challenge SOLUTIONS
#
# <div class="alert... | _test/test-chapter/nb-chal-sol.ipynb |
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# + [markdown] slideshow={"slide_type... | extra/Image classification.ipynb |
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# # Optimization Algorithms Part II
# > Some most comm... | _notebooks/2020-11-03-DLforCNN.ipynb |
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# Python _keras
#sudo pip install keras
# 2.2.4
... | pyKerasNeuralNetwork.ipynb |
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# + [markdown] colab_type="text" id="5wFF5JFyD2Ki"
# #### Copyright 2019 The ... | examples/colab/cord_19_embeddings.ipynb |
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import matplotlib.p... | MachineLearning/SVM Testing.ipynbgnqdhp/SVM Testing.ipynb |
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# Use System Command
# !python --version
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# Essent... | nineth.ipynb |
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# # LightGBM
# %load_ext autotime
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# # Wildfire Damage Assessment (binary classificatio... | Wildfire Damage Assessment (binary classification)-SantaRosa.ipynb |
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from keras.datasets import imdb
from ... | Hands-On+Keras+-+Sentiment+Analysis/Hands-On Keras - Sentiment Analysis.ipynb |
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# # <center>Micro_Credit Loan Prediction</center>
#
# ... | Micro Credit Loan Defaulter Prediction.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/constraint_solver/tsp.ipynb |
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# # Generalized Procrustes Analysis
# Generalized Proc... | menpo/Transforms/Generalized_Procrustes_Analysis.ipynb |
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# # H... | fundamentals/handling_data.ipynb |
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# while loops
# while loops are similair to for loops... | CourseLessions/FlowControlWithLoops/WHile Loops.ipynb |
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# # Instructions
#
# Implement a pytorch dataset for l... | resources/whales/tasks/task7.ipynb |
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# # Prepare Data
# ## Extracting trips to air... | Prepare_Data.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | recursion_dynamic/hanoi/hanoi_challenge.ipynb |
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import pandas as pd
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# # Fortgeschrittene Matplotlib Konzepte
#
# In dieser... | Matplotlib/Fortgeschrittene Matplotlib Konzepte.ipynb |
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# # Exercise 1.2 - The vectorize decorator
#
# ## Obje... | session-1/exercises/vectorize.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | CarND-Advanced-Lane-Lines/P2.ipynb |
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from uuoskit import uuosapi
uuosapi.create_key()
pri... | tests/test.ipynb |
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sys.path.append('../../code/')
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impo... | Practice project on LR/practice01.ipynb |
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from dggs.applib import abs_data_convert
from dggs... | notebooks/io-convert-abs.ipynb |
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from mcpi import block
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import pyaudio
p = pyaudio.PyAudio()
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import urllib.request
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import json
impor... | Cryptocurrency-Python.ipynb |
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#Imports
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# + [markdown] id="2p5a0YOMxSFZ"
# References:
# - htt... | text2im.ipynb |
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# # Cerebral Cortex Synthetic ECG Generati... | demo.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# # Understanding Black-Box Chess Agents
# This notebo... | chess/chess_saliency.ipynb |
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# default_exp nbeats.init
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# hide
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# # Pandas
# ## series
import numpy as np
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#naive pattern searching
#bad complexity
#O(mn)
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# -
... | 210721.ipynb |
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# # 1️⃣ Training an Ad... | Practice/adapter_roberta/tutorial/01_Adapter_Training_multiple_tag.ipynb |
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# `Дисциплина: Методы и технологии машинного обучения`... | Labs/Lab-04_before.ipynb |
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# # Image Style Transferの実装
#
# -----... | dev/image_style_transfer_using_cnn.ipynb |