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# + ... | Viz_health_tweets.ipynb |
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import helper
import pandas as pd
import matplotlib.py... | notebooks/Untitled1.ipynb |
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# # Marker annotation by SEMITONES (calculating escore... | jupyter_notebook/4-3-Marker_Annotation_By_SEMITONES.ipynb |
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# # Random Forrests for Exploration of DEAP Dataset
# ... | src/models/2020-10-14_OMA-tabular_03.ipynb |
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# ## Gap Jupiter Notebook
# +
import requests
import ... | jupyter-notebooks/API-Calls.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Taller_Semana_4-.ipynb |
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# ## Coursework 3: document models
# _[Original](http:... | coursework3.ipynb |
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import pandas as pd
import numpy as np
import ... | Assignment_4/Part_3_labels/Code Label Plot.ipynb |
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# # Introduction to PyRational ADG models
#
# **author... | notebooks/Introduction_to_PyRational_ADG.ipynb |
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# !m... | 02_data_download.ipynb |
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import pandas as pd
import numpy as np
import... | robyn_workspace/EDA Notebooks/.ipynb_checkpoints/Flights10K_Exploration-checkpoint.ipynb |
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# + [markdown] _cell_guid="b1076dfc-b9ad-4... | alphageese-baseline.ipynb |
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# # T1562.004 - Impair Defenses:... | playbook/tactics/defense-evasion/T1562.004.ipynb |
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# # Imports
import nltk
from nltk.book import *
tex... | notebooks/nltk demo.ipynb |
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# +
# %load_ext autoreload
# %autoreload 2
# %matplot... | overview_val10/overview_junk/overview_13003-shorter.ipynb |
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# Let us demonstrate this with an example using the sa... | doc/source/analyzing/mesh_filter.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # ... | examples/example_customer-churn-prediction.ipynb |
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# + colab={} colab_type="code" id="5pZ8A2liqvgk"
from ... | Exercise06/Exercise06.ipynb |
# -*- coding: utf-8 -*-
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# モデルの均衡条件は以下で与えられる(<NAME>... | julia/TwostateRW.ipynb |
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# 
# ## Section 0: ... | doc/Class3_updated.ipynb |
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import pandas as pd
import seaborn as sns
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# + [markdown] pycharm={"name": "#%% md\n"... | .ipynb_checkpoints/Executor-checkpoint.ipynb |
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# # Model Creation and FEMAG Invocation
#... | notebooks/ModelsAndFemag.ipynb |
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from splinter import Browser
from bs4 impo... | mission_to_mars/mission_to_mars.ipynb |
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# + id="DaHSEv1ery0l"
from tqdm import tqdm
import math
import pandas as pd
... | Assignment2/Collocations.ipynb |
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# <font size="6" color="#0047b2" face="verdana"> <B>N... | v1/03.Conditionals.ipynb |
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import torch
import torch.nn as nn
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from enum import Enum
class TrafficLight(Enum):
... | notebooks/Python3-Language/08-Advanced/07-Enum.ipynb |
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import torch
from torchtext.legacy import data
TE... | imdb_rnn.ipynb |
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# # Análise Dados - Projeto Palmeiras
# ## TCC 2 - <NA... | notebooks/data-analysis.ipynb |
# -*- coding: utf-8 -*-
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# ## Problem 2
ls -lh #-lh is used to ... | Exam_1_Answers.ipynb |
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import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module-2-validate-classification-problems/LS_DS_242_Validate_classification_problems_assignment.ipynb |
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# %pylab inline
#
#
#
# # Example 2: Extracellular re... | services/dy-jupyter-extensions/neuron/notebooks/examples/LFPy/LFPy-example-2.ipynb |
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# # Plots for logistic regression, different noise lev... | logistic_regression/label_noise/plot_noise_levels.ipynb |
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# + [markdown] id="KAVhP2Om75oT"
# # **1- DATA COLLECTION**
# -
# **Import p... | NewsF.ipynb |
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# + [markdown] id="xWbPyjUtw7rQ"
# ## Piping challenge
#
# In this challenge,... | _episodes/svv-course/challenge/01_piping_challenge_solution.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 419} id="Qbx8_NPg... | notebooks/services.ipynb |
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import torch
import torch.nn as nn
from torch impo... | DRNN-Take2-SmallDataset.ipynb |
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# # Implementation of FP- Growth Algorithm
#
# To impl... | tutorial/6. Machine Learning/6. Association Rule Mining/2. FP Growth Algorithm/FP- Growth_Algorithm.ipynb |
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# # Exponential function
from scipy import special
a ... | Scipy - Intro.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 1st-sem-pg/python/bubblesort.ipynb |
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# # Python Functions
# A function is a block of code tha... | 02-Basic Python/09-Functions.ipynb |
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# <h1> Create TSV-DRO </h1>
#
# A simple Notebook to e... | sample/create_tsvdro-simple.ipynb |
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# Prototype stopped: Performance too bad.
#
# # Sentim... | notebooks/1.0-tte-sentiment-prototyping-spacy.ipynb |
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# !wget https://raw.githubusercontent.com/priyanshu-bi... | colab/video.ipynb |
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# + [markdown] colab_type="text" id="GR3POZI8l8rC"
# Copyright 2019 The RecS... | recsim/colab/RecSim_Developing_an_Environment.ipynb |
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# ## **ACL-BioNLP'19 - MEDIQA 2019 Shared Task**
#
# *... | Models.ipynb |
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# # Materialien zu <i>zufall</i>
#
# Autor: <N... | zufall/mat/aufgaben k6.ipynb |
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# + [markdown] id="OUgsevYkvEBO" colab_type="text"
# # Loose Silky Bent
# + ... | Seminars/lsb.ipynb |
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# # Exploratory Data Analysis
#
# **Ferramenta para re... | notebooks/Exploratory Data Analysis.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Titanic dataset with randomforest.ipynb |
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from keras.preprocessing.text import Toke... | 1. Word2Vec Basics.ipynb |
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# + id="JD9Ye-55G3tb"
import zipfile
from google.colab import files
#upload ... | Google Colab Tutorials/Google Colab + Kaggle - Download Dataset./Google_Colab_+_Kaggle_Download_Dataset.ipynb |
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# #### train_dcnn_timed
# A notebook to analytically ev... | src/train_mmaccnn_timed.ipynb |
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# IPython.Output... | verification.ipynb |
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# # Versuch V-So 15 – Maschinelles Lernen in der wisse... | F-Praktikum-Anleitung-Fortgeschritten2.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <ce... | adsp-05.ipynb |
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# # Infer operator computation cost
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# This notebooks... | _doc/notebooks/onnx_operator_cost.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="zBKwtXYvHElN" execution... | MNIST-2/V4.ipynb |
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import pandas as pd
from transformers import Auto... | notebooks/arxiv_eda.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_first_order_model_demo.ipynb |
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# <a href="https://colab... | notebooks/sprinkler_knowlegde_driven.ipynb |
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# + id="VNRbrrf-010w"
import seaborn as sns
import numpy as np
import pandas... | HeartAttack/HeartAttackPrediction.ipynb |
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# # Reading Data
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# * Python has a lar... | Python_ReadingData.ipynb |
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# # Time Series Decomposition
# First import the nece... | timeseries/TimeSeries.ipynb |
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#we m... | analysis_notebooks/bin_centering_correction.ipynb |
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pip uninstall keras
y
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import pandas as pd
import ... | .ipynb_checkpoints/GloVe_LSTM-checkpoint.ipynb |
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# # Dataset preprocessing
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import os
import panda... | notebooks/twitter_prepare.ipynb |
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# The code for this seminar is based on a code... | sem5-gan/seminar.ipynb |
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# # DMV-TEST - LOGISTIC REGRESSION
import numpy as np... | LOGISTIC REGRESSION - DMV TEST.ipynb |
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# ### Star Classification
# In this example we are goi... | Stars/Star Classification.ipynb |
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# # Fun with a Radiative-Convective Model
# %matplotl... | notes/RCM.ipynb |
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# ## Case study
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# In this case study w... | Codes examples in the book/case_study/Case Study.ipynb |
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# # Area under a curve
#
# **<NAME>, PhD**
#
# This de... | _build/jupyter_execute/notebooks/qua/06 Area under a curve.ipynb |
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# # Multivariate linear regression
#
# Generate simula... | Multivariate_Linear_Regression/multivariate_linear_regression_data.ipynb |
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# #### Background information:
# In a Stroop task, pa... | P1-Statistics/.ipynb_checkpoints/Project1_Stroop-checkpoint.ipynb |
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# ## Quiz #0307
# ### "EDA and ANOVA for guinea pig t... | SIC_AI_Quizzes/SIC_AI_Chapter_04_Quiz/problem_0307.ipynb |
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# SciANN-vonMises.ipynb
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# For additional details, pl... | SciANN-ElastoPlasticity/SciANN-ElastoPlasticity.ipynb |
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# %matplotlib inline
from pathlib import Path
imp... | Notebooks/need_to_org/show_sort_results.ipynb |
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# # Phase 1 Project Technical Notebook
# Authors: <NAM... | technical_notebook.ipynb |
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# # POST /login/
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import tensorflow as tf
from gan import GAN
from ... | comparison mixture of gaussians.ipynb |
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import matp... | predicted_user_behavior.ipynb |
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import os
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import dateti... | transcripts/shots_transcripts_alignment.ipynb |
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# + [markdown] id="m5j0l2bcp3id"
# <h1 style="color:gr... | model/3_Heart_Disease_SVM (3).ipynb |
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# # With Numpy
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import numpy as np
c = input().up... | 1185 - Above the Secondary Diagonal (level 2).ipynb |
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import pandas as pd
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import pandas as pd
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import pandas as pd
import os,sys
f... | opc_python/hulab/collaboration/prediction_morgan_no_leak_included.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/Approximator.ipynb |
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# # Project Procedures
#
# For this part of my project... | Part 2 Parsing and Analyzing Words.ipynb |
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# ## Lightweight python components
# In the last note... | notebooks/05_Kubeflow_Pipeline/05_02_Pipeline_lightweight.ipynb |
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# + [markdown] colab_type="text" id="UICxB_OdX7Rn"
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from splinter import Browser
from ... | Mars Mission.ipynb |
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# # Dataset
# This dataset has 699 records, each reco... | Python codes (DT, KNN, LR).ipynb |