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# > Texto fornecido sob a Creative Commons Attribution... | tarefas/14_Passo_11.ipynb |
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# # Baseline MLP Model
# ## Training a Feed... | source/sagemaker/baselines/mlp-fraud-baseline.ipynb |
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import pandas a... | Project02.ipynb |
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# # T1548.002 - Abuse Elevation ... | playbook/tactics/privilege-escalation/T1548.002.ipynb |
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from pickle import load
import numpy as np
path = '..... | notebooks/inspect-march-29-rjmc-result.ipynb |
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# ## Direct file system access to the CEDA Archi... | notebooks/data-notebooks/earth-observation/esacci/plot-esacci-sst.ipynb |
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# > This is one of the 100 recipes of the [IPython Coo... | notebooks/chapter10_signal/02_filter.ipynb |
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# even if you don't use an import until way later on i... | S01 - Bootcamp and Binary Classification/SLU19 - Workflow/Learning notebook.ipynb |
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... | cn/.ipynb_checkpoints/sicp-1-41-checkpoint.ipynb |
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#statsmodelsOLS.py
import pandas as pd
import stat... | In Class Demonstrations/Fall 2020/Using statsmodels.ipynb |
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from IPython.display import display
import spot
spot.s... | lib/spot-2.8.1/tests/python/automata-io.ipynb |
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# # This is a Test NB
# <!--- @wandbcode... | tests/data/test_nb.ipynb |
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# <table class="ee-notebook-buttons" align="left">
# ... | Datasets/Vectors/global_power_plant_database.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | matplotlib.ipynb |
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# +... | .ipynb_checkpoints/Lab1-checkpoint.ipynb |
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# [... | 15_seleccion_y_filtrado_de_datos.ipynb |
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# # Logistic Regression
# ## Imports
import torch
im... | __torch__/Logistic+NN.ipynb |
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# # Seaborn - categorical plotting
import seaborn as ... | python_crash_course/seaborn_cheat_sheet_2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Support_Resistance_Changepoint.ipynb |
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# ## Joint Sparsity With Partially Known Support - An ... | example_theorem2.ipynb |
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import pandas as pd
oo = pd.read_csv('dat... | CH5 Reshaping.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter03/20_Varying_batch_size.ipynb |
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# 1- create a directroy
# mkdir jupyterworkflow
#... | fremontBridge5.ipynb |
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# <div align="right"><i><NAME>, 23 Oct 2017<br>Revised... | ipynb/Bike Speed versus Grade.ipynb |
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# %load_ext autoreload
# %autoreload 2
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# # Train clustering
# Stefan/<NAME>
# Since Thur. Jan... | notebook/symbolization/train_clustering_colab.ipynb |
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# ### <NAME>
#
# ### Problem Statement :
#
# It happen... | Data Cleaning Assingment - Pandas Session .ipynb |
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# # <center> **PRÁCTICA DIRIGIDA... | Material/Prácticas/Dirigidas/02/PD2_Ecuaciones_En_Diferencia.ipynb |
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# # Address Standardization and Correction using Seque... | samples/04_gis_analysts_data_scientists/address-standardization-and-correction-with-sequencetosequence.ipynb |
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# + [markdown] id="djUvWu41mtXa"
# ##### Copyright 2020 The TensorFlow Author... | site/ko/tensorboard/dataframe_api.ipynb |
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# + [markdown] pychar... | docsrc/examples.ipynb |
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# # Data Exploration and Feature Correlation in Python... | Data_Exploration_Correlation.ipynb |
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# # Chapter 5: Point-Neuron Network Models (with Point... | docs/tutorial/05_pointnet_modeling.ipynb |
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#
# **Advanced Lane Finding Project**
#
# The go... | .ipynb_checkpoints/write_up-checkpoint.ipynb |
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# Instructions
#
# **When taking this exam, you agree ... | exams/Midterm02.ipynb |
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# + id="yyMxGbMQrROO" colab_type="code" outputId="02bd0168-e370-423f-9be8-99e... | Chapter11/LSTM_working_details.ipynb |
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# + [markdown] id="CLrkyRc6-rD5"
# # Envenenamiento
# + [markdown] id="NuoZ5... | notebooks/Envenenamiento.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | train-predict.ipynb |
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# Expectation Maximization Algorithm
# +
# import pac... | Expectation maximization algorithm (closed-form).ipynb |
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# # Model Development V1
# - This is really mo... | lab_notebooks/NYT-Magazine Classifier V1.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# All ... | D - Functions.ipynb |
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from sqlalchemy import create_engine
import pandas as ... | .ipynb_checkpoints/Project 3 Starter-checkpoint.ipynb |
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# # Slackbot
# Small demo to show how to post a messa... | opengrid_dev/notebooks/Demo/Demo_Slackbot.ipynb |
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# # Import modules
import os
import numpy as np
impor... | KAGGLE/titanic-mla-week5.ipynb |
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# # ユーザー定義関数／クラス／メソッド／モジュール
#
# ---
#
# - ... | 006_def_class/006_def_class.ipynb |
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# + [markdown] colab_type="text" id="R6gHiH-I7uFa"
# #... | ai/5.Convolution/1.fashion_mnist.ipynb |
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# # Analyze tweets and frequency of hate speech
#
# ##... | notebook/analyze_freq.ipynb |
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# # Project: Highway Driving (Path Planning in C++)
#
... | .ipynb_checkpoints/README-checkpoint.ipynb |
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# # Debug pipeline
#
# A pipeline that has a log state... | notebooks/debug_pipeline.ipynb |
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from gurobipy import *
import pandas as pd
import nump... | dermatology.ipynb |
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# # Compare Model Zoo Benchmark perf... | docs/notebooks/perf_analysis/benchmark_data_types_perf_comparison.ipynb |
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import sqla... | notebooks/put-together.ipynb |
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# # Using the AWRA MS to run a Simulation of the AWRA-... | Training/Simulation/SimulationServer.ipynb |
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from dsglib import getFile
import time
... | features.ipynb |
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from pylab import *
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def get_pitch_tendencies(pitcher_df):
#assign the ... | Work in progress/Pitchers.ipynb |
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import numpy as np
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import matplotl... | CT_analysis_modelling/DL_model.ipynb |
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# # <center>Block 10: Multinomial choice I. Dema... | slides_ipynb_mec_optim/B10_nonparametricmultinomialchoice.ipynb |
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# # Converting the National Travel Survey into a Simpl... | notebooks/NTS Population Synthesis Example.ipynb |
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im... | tasks/39/case_study_39.ipynb |
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# + [markdown] id="l9djDulpVsvG" colab_type="text"
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# #!/usr/bin/env python
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... | Luigi_airflow_003.ipynb |
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# + [markdown] id="IxslVV1wWio9"
# Nmae: <NAME>
#
# Branch: Btech AIML
#
# Ro... | LinearRegration.ipynb |
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# + id="vuW5x0TwxFV0" colab={"base_uri": "https://localhost:8080/"} execution... | notebooks/fourth-size.ipynb |
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# + [markdown] tags=[]
# # Homework... | session-08/homework-08.ipynb |
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# # <NAME>
# # 20120612033
# # <EMAIL>
# ## Exercis... | lab-exercise-1.ipynb |
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# # Value Candidates with FMP Stock Scr... | value_screen.ipynb |
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#hide
#skip
! [ -e /content ] && pip install -Uqq fast... | nbs/_whl2conda.ipynb |
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# # 5.11 残差网络（ResNet）
# +
import time
import torch
fr... | code/chapter05_CNN/5.11_resnet.ipynb |
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# # S-parameter Exploration
#
# Original author: <NAME... | misc/scikit-rf/S-param_Explorer.ipynb |
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# # Activity Analysis Demonstration script
# This note... | Activity Analysis demo 1.ipynb |
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# # T81-558: Applications of Deep Ne... | t81_558_class_13_04_retrain.ipynb |
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from reservoir import ESN
from misc import *
impor... | live_syclop1.ipynb |
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# + active=""
# .. _anum_userguide:
#
# ANUM Strings
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import matplotlib
from matplotl... | enzymatic_bias/get_pwm_from_bpnet/.ipynb_checkpoints/BPNET_Model_PWM_from_Predictions-checkpoint.ipynb |
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# python version - 3.7.4
# jupyter lab version - 1.1.4... | 02_crawling/upbit_crawling/upbit_hour_git.ipynb |
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# + [markdown] heading_collapsed=true
# # Bladder ... | TCGA_HTSeq_counts/BLCA/Bladder Urothelial Carcinoma (BLCA).ipynb |
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# ## Implementing local gauge invariance w... | content/teaching/2021-solving-problems/Tutorials/Gauge_Theory_qiskit.ipynb |
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# ## Data cleaning
# - Refer to data dictionary on the... | .ipynb_checkpoints/2. Data cleaning-checkpoint.ipynb |
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# # Step 1: Declare values
Names = ['Ann', 'Jane', 'J... | Sequence Problems_nip.ipynb |
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from tensorflow.python.keras.preprocessing.image impor... | FishNary-3.ipynb |
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# # The ACME Dataset <a class="tocSkip">
# + [markdow... | docs/01_the_ACME_dataset.ipynb |
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# # Cube in a Box
#
# ### Basic Functionality
#
#
# T... | notebooks/Basic_Functionality.ipynb |
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# ... | dsa/XVDPU-TRD/vck190_platform/petalinux/xilinx-vck190-base-trd/project-spec/meta-base-trd/recipes-apps/base-trd/base-trd/notebooks/base-trd-nb2.ipynb |
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# # Basic Tutorial for <font color='green'> Toad</font... | docs/source/tutorial.ipynb |
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# # HSBM exploration
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# %matplotlib inline
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# from IPython.core.interactiveshell import Intera... | notebooks/pcc_analysis.ipynb |
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# # Predictive Analytics and Machine Learning
# # Pre... | Chapter10/.ipynb_checkpoints/ch-10-checkpoint.ipynb |