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# # <img src="../../images/logos/python.png" width="23... | 01. Python/06. Nice to Know/Cool New Features in Python 3.8.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | spotify_user_behaviour_predictor/8_Appendix.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | KK_D1_MongoDB_Local_CRUD_operations.ipynb |
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# Dataset taken from [U.S Education Unificatio... | Exercises/Model_Preparation/1 - Data Cleaning 2 Missing Values.ipynb |
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from collections import OrderedDict
import matplotlib.... | work/8_ag1k_analysis/common.ipynb |
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# !pip install nltk
import nltk
nltk.download('all')
... | TP1_nlp_nltk.ipynb |
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# # Chapter 4: Muti-population recurrent network (with... | docs/tutorial/04_multi_pop.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | analysis/simcore_analysis_static.ipynb |
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import math
import pandas as pd
uc = [0, 1/6, 1/4... | day9/warm-up-day-9-ex3-solution.ipynb |
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# # Voila
#
# Description
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# %load_ext... | notebook/cluster/6.0-voila.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chap3_rb.ipynb |
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# # Download data
# ## Using astroquery
# ### Downl... | docs/source/astroquery_visits.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | slides/module_6/permutation_tests_hackathon.ipynb |
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# + id="5hXws4b_EPoR"
# !pip install -q torch-scatter -f https://data.pyg.org... | notebooks/01_multiple_references.ipynb |
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# # PCA + MLP approach - stock 9064
#
# For LOB we per... | overview_val10/overview_9064_full-mlp.ipynb |
(* -*- coding: utf-8 -*-
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(* name: ioc... | EntropieStat_2_niveaux_identiques/EntropieStat_2_niveaux_identiques_OCaml_sujet.ipynb |
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# + [markdown] heading_collapsed="true"
# # Libs and p... | notebooks-scripts/.ipynb_checkpoints/Train_CIFAR10-checkpoint.ipynb |
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# + [markdown] papermill={"duration": 0.025526, "end... | notebooks/Evaluations/Continuous_Timeseries/All_Depths_ORCA/PointWells/201905_Hindcast/2016_PointWells_Evaluations.ipynb |
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from nnAudio import Spectrogram
import numpy as np... | Trainable_STFT/Kernel Trainable Mel.ipynb |
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# # W2 Lab: Data processing... | m02-history/lab02.ipynb |
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import pandas as pd
import numpy as n... | Code/DataModelingDenmark.ipynb |
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# ## Barcelona .shp files:
#
# On the way ... | Barcelona/GeoBarcaCTest.ipynb |
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# ## -------------------------------------------------... | python/7_ Data Quality with Python for Beginner.ipynb |
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######################################... | Chapter_3/Section_3.1.ipynb |
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# # Lendo/Tratando dados
import pandas as pd
import n... | ML/Teste0 - Dataset de Emocoes/Teste0 - v1.ipynb |
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# '
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# name: python37864bitobjdetectconda8045a... | Predict_#_wmvs.ipynb |
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import numpy as np
import pandas as pd
df... | Car Price Prediction Project.ipynb |
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# # Data Science by using pandas liabrary
impor... | src/Notebooks/IRISPyDataScience.ipynb |
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import numpy as np
import pandas as pd
data = pd.rea... | bank_customer/annonbank.ipynb |
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from src.codeGa... | src/statistiken/Strategie_MoveLast.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
#... | timeseries/M3Graphing.ipynb |
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from mapping import Mapping
... | notebook.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
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# + [markdown] deletable=true... | Greedy Algorithms Minimum Spanning Trees and Dynamic Programming/Programming Assignment 2/Cluster 1.ipynb |
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import os
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from os.path import join
... | synthetic_framework/notebooks/new_data_genexperiments.ipynb |
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# %pylab inline
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import seaborn as sns
sns.set_sty... | notes/Effective mass wall vs. smeared.ipynb |
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# Importing the dataset
dataset <- read.csv("D:\\projectR\\datafiles\\cr... | univariate_analysis.ipynb |
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# %matplotlib inline
#
# # Plotting a Pandas Datafram... | docs/auto_examples/plot_dataframe.ipynb |
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# # GeoMAD cloud-free composites
# + raw_... | data_specs/GeoMAD_specs.ipynb |
# -*- coding: utf-8 -*-
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# # 1D Vlasov–Ampere system
#
# $$
# \frac{\partial f}{\p... | 02.VlasovAmpere.ipynb |
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from utils import load... | CRC_mtscATAC/CRC_mtscATAC.ipynb |
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# # 핸즈온 준비 단계 입니다. (Hands-on Prerequisite)
... | 0.0.Prerequisite/Prerequisite.ipynb |
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# #Выбор семейства распределений в наивном байесе
fro... | LearningOnMarkedData/week5/c02_w05_ex02.ipynb |
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#Total 10 cities
'''
1.san diego
2.albuquerque
3.color... | Trulia multiple cities webscraping.ipynb |
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from chatterbot import ChatBot
from chatterbot.trainer... | Testing_chat.ipynb |
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# Nessie Spark SQL Demo with NBA Dataset
#... | notebooks/nessie-delta-demo-nba.ipynb |
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# + [markdown] id="TJJCNEYMp64R"
# # Assessing... | intro.ipynb |
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# + [markdown] deletable=true editable=true
# <h1> Str... | blogs/sklearn/babyweight_skl.ipynb |
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# # Add bags of words from additional arousal and non-... | jupyter_notebooks/5_2_deepdive_on_mk_arousal-cleaner_version.ipynb |
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# # Assignment 2 | Programming Logic
#
# R... | assignments/assignment_2/assignment_2_wentao_zeng.ipynb |
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# + [markdown] id="AQx62TllbkwV" colab_type="text"
#
# https://stackoverflow.... | Colab Notebooks/20191020_comparing_floats.ipynb |
# -*- coding: utf-8 -*-
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# # MATH50003 Numerical An... | sheets/week2s.ipynb |
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# # **Orchestrating Machine Learning Workfl... | pipeline_inference.ipynb |
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import pandas as pd
import scip... | example.ipynb |
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# # Chapter 8 - Data Wrangling: Join, Combine, and Res... | 08-3-Data-Wrangling.ipynb |
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# %matplotlib inline
# %load_ext autoreload
# %aut... | examples/ResNet50RetinaNet - COCO 2017-Copy1.ipynb |
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# + [markdown] colab_type="text" id="l4fOFMjbRvkZ"
# #... | taxi_fare_prediction.ipynb |
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# # Stream anomaly detector POC
# For rea... | stream-anomaly-detector-poc.ipynb |
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# + [markdown] id="txB8mFbZQouo"
# ## **PREPROCESSING OF TEXT DATA - NLP**
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# (1). Silahkan print(8 / 7) dan berikan *comment* # I... | Bagian 1 - Pengenalan Python untuk Data Science/Kunci Jawaban/Kunci Jawaban 1 Variabel dan Tipe Data.ipynb |
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# Start logging process at root level
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l... | notebooks/pa - w2v geometric operations.ipynb |
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# + id="BzubntgtKbDv"
import os
import torch
import time
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# # 402 RNN
#
# View more, visit my tutorial page: htt... | tutorial-contents-notebooks/402_RNN.ipynb |
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# + [markdown] slideshow={"slide_type... | docs/tutorials/resultsdb_tutorial.ipynb |
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import numpy as np
a=c =np.array([1,2,3,4,5,6])
print(... | data analysis/numpy.ipynb |
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import sympy
from IPython.display import display
impor... | Sate_Estimation_and_Localization_for_Self_Driving_Cars/module2/Jacobian.ipynb |
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# # What you will learn
#
# - Basics of data handleing... | Python_Jupyter_Training/Week_3/.ipynb_checkpoints/Data Handling-checkpoint.ipynb |
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# # MadMiner particle physics tutorial
#
# # Part 4a: ... | examples/tutorial_h4l/4a_limits.ipynb |
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# # Homework 05
# Spotify
# <NAME>
# 2016-06-07
impor... | foundations-homework/05/.ipynb_checkpoints/homework-05-gruen-spotify-checkpoint.ipynb |
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# Base import and functions
import imutils
import... | 30-RegionFilterNumberSegmentation.ipynb |
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import... | Box Cox Transformation .ipynb |
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# # Median Maintenance
#
# The goal of this problem is... | median-maintenance/median_maintenance.ipynb |
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# # Lab 5 - Principal Component Analysis Final
# ## ... | ECE365/machine learning/lab5_vvv_2021/.ipynb_checkpoints/Lab 5 - Principal Component Analysis-checkpoint.ipynb |
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# + active=""
# 说明：
# 有一组G成员，以及他们可能犯下的各种罪行。
# ... | Dynamic Programming/1009/879. Profitable Schemes.ipynb |
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# ### Imports
from kaggle_environments im... | evaluate-system.ipynb |
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# # Miscellaneous Becquerel Examples
# %pylab inline
... | examples/misc.ipynb |
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# <a href="https://colab.research.google.co... | t81_558_class_04_1_feature_encode.ipynb |
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# # Topic Modeling
# +
import numpy as np
import pand... | LDA.ipynb |
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# HIDDEN
from datascience import *
from prob140 import... | content/Chapter_10/00_Markov_Chains.ipynb |
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# + [markdown] id="hq9XMl8_c_45"
# # 2. Decoder 를 적용
# + [markdown] id="NK1R... | 03.MLP/02.MLP_iris_Decoder.ipynb |
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# # Wind farm integration
#
# An example of a wind far... | examples/windfarm.ipynb |
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# + [markdown] id="kO28t7QP4vp6"
# # Simple example
# + id="fUHNlFSkQoWq"
# ... | code/KLDfromScratchNumpy.ipynb |
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i... | python/.ipynb_checkpoints/DQN-checkpoint.ipynb |
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# # Week 3 Homework and/or In-Class Activity
#
# ## Le... | Week 3/Week3_InClassActivity_ControlFlow_Loops_student.ipynb |
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# # 0.0. Planejamento
# ## Input
# ### Da... | notebooks/c05_jsp_processing.ipynb |
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# # PhilReinholdPygrape tutorial 1: Pauli-X gate
#
# T... | .ipynb_checkpoints/PhilReinholdPygrape-tutorial-1-Pauli-X-gate-checkpoint.ipynb |
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# ## Классы
# Классы в питоне - это способ работать с ... | sem06_class/Classes_1910_1911.ipynb |
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# + [markdown] id="acCFYk9JE3aF"
# # Importando as Bibliotecas
# + id="C3cUJ... | Tips_Data_Sample.ipynb |