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# ### Setup
#
# This notebook expla... | cohorts_proj/jupyter/custom-analysis-template.ipynb |
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# %load_ext autoreload
# %autoreload 2
# default_exp i... | nbs/importers.Importer.ipynb |
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# ## DataSet Exploration PASTIS
# Import necessary packages
i... | data exploration.ipynb |
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import os, sys
sys.path.append('../src/')
import w... | notebooks/nbk02_trader_arena.ipynb |
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# # Basic Keras Neural Network for Fashion MNIST
#
# #... | beginner/Keras Neural Net Fashion MNIST.ipynb |
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# <h1 style="font-size:30px;color:deeppink;">Oral Insu... | Assess and Clean.ipynb |
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#本章需导入的模块
import numpy as np
import pandas as pd
impor... | chapter4-2.ipynb |
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# # AEBS - AOBxFAC_2F product
#
# Demonstration of `AO... | AEBS/AEBS_AOB_FAC.ipynb |
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import pandas as pd
import matplotlib
import os
im... | ipynb/tutorials/pandas/lesson_11.ipynb |
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# + id="eFc0C9l5oxlj" executionInfo={"status": "ok", "timestamp": 16367422396... | experiment/10x10_position/2D_Map_Multi_Random.ipynb |
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from lda2vec import preprocess, Corpus
import matp... | examples/twenty_newsgroups/lda2vec/lda2vec.ipynb |
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# # Merging Compounds
# ---
#
# spaCy's merge noun chu... | Obj 0 - pre-processing/Experiment 0.4 - Merging Compounds/.ipynb_checkpoints/Merge Compounds-checkpoint.ipynb |
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# # Bayesian inference tutorial: a hello world example... | docs/Bayesian inference tutorial.ipynb |
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# # Segmenting and Clustering Neighborhoods in Toronto... | Segmenting and Clustering Neighborhoods in Toronto.ipynb |
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# # <div align="center"><font color='green'> COS... | QandA/Week05_QandAcode/Week05_lectureQandA.ipynb |
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import pandas as pd
df = pd.read_csv('df_hour2.cs... | project02/myanalysis/Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Unit_Process_Designs/Sed.ipynb |
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# This is markdown
import tsclust
import pandas as pd... | notebooks/final_clusters.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | 12 Steps to Navier-Stokes/Step 5 - 2D Linear Convection.ipynb |
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# # Visual Categorization with Bags of Keypoints in Sh... | doc/ipython-notebooks/computer_vision/Scene_classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled0.ipynb |
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# # Convolutional networks
# ## Network 1
#
# Construc... | notebooks/9-convolutional-networks.ipynb |
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# ## Genesis Set Permis... | genesis_tree.ipynb |
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# # Network view of diversity
#
# Here we explore relations between topics in the co-occurrence network
# ## Preamble
# +
# %run ../notebook... | notebooks/paper/5_diversity_network.ipynb |
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#Sem tratativa:
import numpy as np
impo... | codigo.ipynb |
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# # Clear Data
# <div style="position: absolute; right... | tomef/tools/clear_data.py.ipynb |
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import sympy as sp
import numpy as np
import matpl... | 02/02_Rugalmas_szal.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} executionInfo={"elapsed": 2... | Experiment_results/Facial_expression_FCNeurons_JAFFE.ipynb |
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import random
class Card:
"""
Represents ... | solve_ch/ch_18/ejemAD_ch18.ipynb |
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import vtk
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import numpy as np
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# # Code for the tasks for the final meeting
import p... | analysis/notebooks/.ipynb_checkpoints/analysis_for_final_meeting-checkpoint.ipynb |
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# # Sentiment Analysis and the Dataset
# :label:`sec_sentiment`
#
# Text classification is a common task in natura... | d2l-en/mxnet/chapter_natural-language-processing-applications/sentiment-analysis-and-dataset.ipynb |
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# # LSTM Stock Pred... | lstm_stock_predictor_closing.ipynb |
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import numpy as np
import plotly
import plotly.gra... | panda/.ipynb_checkpoints/Untitled2-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # A Very Quick Introduct... | Julia/Notebooks/6. HPC/newjulia/4_Hackathon/julia_on_github.ipynb |
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# # Coreference Resolution
# <div class="alert alert-... | example/coref/load-coreference-resolution.ipynb |
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# # Mini project 1
#
#
# Student name: <NAME>
# ... | project1/logistic_regression.ipynb |
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# # Guide 2: Research projects with PyTorch
#
# ![Stat... | docs/tutorial_notebooks/guide2/Research_Projects.ipynb |
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import os
import pandas as pd
import numpy as np
impor... | zJupyterNB_Script/.ipynb_checkpoints/Analysis_zoe-checkpoint.ipynb |
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# # Simulate BGs
# * description: simulate bgs given c... | simulate-bgs/simulate-bgs-with-gui.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
# Obtiene las... | data/Primera_Dosis/DOSIS1-ComparativaGrupoEtario.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W1D5_DimensionalityReduction/W1D5_Tutorial2.ipynb |
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# + [markdown] id="vhe1yX4AMckE"
# # Technology Explorers Course 4, Session 4... | Statistics and Models II/Tech_Exp_C4_S4_Computer_Vision_Part_1.ipynb |
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# name: python37464bitcondaenvconda3f4d77... | spark-rdd-example16-reduceByKey/Spark-RDD-Example-16-ReduceByKey.ipynb |
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# + [markdown] tags=[]
# ## Testing Polynomials
# We'l... | notebooks/Testing_polynomials.ipynb |
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# #... | Fitting Problems and Solutions/Learning_Rate_Decay.ipynb |
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#Type of dictionary
#{key:value, key:value,....}と書く
co... | chapter4/program4-3.ipynb |
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# # Clustering samples by environmental and functional... | article/02.cluster_samples.ipynb |
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# # Regressão Linear
# ## Least Squares Method
# +
im... | Machine Learning - Jupyter Notebook/Advertising Dataset.ipynb |
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# ### Planet Analytics API Tutorial
#
# <h1 style="ma... | jupyter-notebooks/analytics/user-guide/03_change_detection.ipynb |
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# + deletable=true editable=true
import pandas as pd
i... | notebooks/Correlation between app size and app quality.ipynb |
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CRISP_DM = "C:/Users/kaivl/data_science_covid-19/CRISP... | notebooks/2. Data Understanding.ipynb |
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# This notebook is in html. To be able to run it, plea... | img/uni.ipynb |
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# <b>Calcule a integral dada</b>
# $23. \int \frac{ln... | Problemas 5.2/23.ipynb |
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# # Sharpening and Smoothening
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# + [markdown] id="aO-7t1Y7-hV4"
# # Import Libraries
# + id="8kH16rnZ7wt_"
... | Tushar/ASSIGNMENTS/TusharRawat_All10codeFILES(FASHION_MNIST)/F4 (1).ipynb |
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# # Performance Testing for Watson Assistant
# This n... | For Watson Studio/Performance Testing/.ipynb_checkpoints/Performance Testing_WS-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# <a id='testing'></a>
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# # Final - DATA 661
#
# ## IPySigma ... | DATA661_final.ipynb |
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# ## Example of 2D time-domain full waveform inversion... | Notebook/.ipynb_checkpoints/InversionHorizontalReflector2D_TimeDomain_ConstantDensity-checkpoint.ipynb |
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# # 0.0. IMPORTS
import pandas as pd
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# # Pickle Data
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from mediaeval2021.da... | notebooks/cache_dataloader.ipynb |
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# %matplotlib inline
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from matplotlib im... | examples/sim_meshes.ipynb |
# # Compare samplers
#
# In this notebook, we'll compare the different samplers implemented in `bilby`. As of this version, we don't compare the outputs, only how to run them and the timings for their default setup.
#
# ## Setup
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# %reload_ext autoreload
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# # Notebook to Illustrate Handling, Calculation, a... | ddc/ddc_data_tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] slideshow={"slide_type": "skip"}
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# ### Slicing,... | projects/one_liners/01_python_tricks/one_liner_slicing.ipynb |
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# # Tutorial 12: Inflows
#
# This tutorial wal... | tutorials/tutorial12_inflows.ipynb |
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# # Capstone Project – The Battle of Neighborhoods | F... | Capstone%20Project%20%E2%80%93%20The%20Battle%20of%20Neighborhoods%20%20-%20Finding%20a%20Better%20Place%20in%20Scarborough%2C%20Toronto.ipynb |
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# ## More maps!
#
# This is a note... | script_backups/backup_more_maps.ipynb |
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time = []
discharge... | HotCreek.ipynb |
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# # Neural Networks and Deep Learning for Life Science... | Week 5 - Fully Connected Networks/Week 5 - Overfitting notebook.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ### Anál... | AnaliseDePrestacaoDeContasPartidariasDeEleicoesEstaduais.ipynb |
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os... | notebooks/ReStBert/rest_bert.ipynb |
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# https://www.kdnuggets.com/2020/01/predict-electr... | code/stock_time_series.ipynb |
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# # FR-I/FR-II Download
#
# *<NAME>, ANU RSAA/Data61, ... | Basic/fri-frii-download.ipynb |
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# # Deep Convolutional Net in Keras
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#Building a d... | TFLiveLessons/lenet_in_keras.ipynb |
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# # Objects
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# The objects are models including basic... | pcg_notebooks/simulation/objects.ipynb |
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# You have already seen [expressions](Expressions).
#
... | notebooks/02/Names.ipynb |
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# + [markdown] id="eZD-OAqW3VOx"
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# Structure of Case Study Files:
#
# The d... | Accelerometer Sensor Data/Gesture_case_study.ipynb |
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# ## This is a test
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# # Inference Data Cookbook
# `InferenceData` is the c... | doc/notebooks/InferenceDataCookbook.ipynb |
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# # DU Bii - module 3: R and stats
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# # MAST Table Access Protocol Hubble Source Catalog D... | notebooks/MAST/HSC/HSC_TAP/HSC_TAP.ipynb |
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# ## Fitting BehaveNet to an example dataset
#
# Th... | examples/00_data.ipynb |
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