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# # **Spit some [tensor] f... | MachineLearning_DataScience/Demo104_FeatureScaling_Classification.ipynb |
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import re
colitis_patt = r'\b(colitis|diarrhea|ab... | Data Preprocessing/SentenceCleaner.ipynb |
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# # Autoregressive Moving Average (ARMA): Artificial d... | examples/notebooks/tsa_arma_1.ipynb |
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# + id="6RKbJM0frIDC"
#Principais importações
import matplotlib
import matplo... | Matplotlib.ipynb |
# -*- coding: utf-8 -*-
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# # Computation of atomic ... | tutorials/50-summarize-atomic-processes.ipynb |
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# ## Introduction
# + deletable=false editable=false ... | data_science/00_From_Ingestion_to_Prediction_PyTorch.ipynb |
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# <p><font size="6"><b>03 - Pandas: Indexing and selec... | Day_1_Scientific_Python/pandas/pandas_03a_indexing.ipynb |
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# # Finding Contours
# ### Import resources and displ... | Lessons&CourseWorks/1. IntroToComputerVision/3.TypeOfFeatures&Segmentation/2.Contour&Features/Contour detection and features.ipynb |
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# + [markdown] colab_type="text" id="I08sFJYCxR0Z"
# !... | tutorials/Certification_Trainings/Healthcare/databricks_notebooks/2.4/5_Spark_OCR.ipynb |
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# --- about
# this file starts with notebook data3... | lab-notebook/bsong/2019-03-08 - from spectra to general data science notebook/2019-07-03-BPS - legends.ipynb |
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#default_exp distributed.models.lgb
# -
# # LGBMF... | nbs/distributed.models.lgb.ipynb |
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# ## Monte Carlo - Predicting Gross Profit - Part I
#... | Python for Finance - Code Files/100 Monte Carlo - Predicting Gross Profit - Part I/Python 3/MC - Predicting Gross Profit - Part I - Solution.ipynb |
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from IPython.display import display
from bqplot import... | examples/Map.ipynb |
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# # Bring Your Own R Algorith... | advanced_functionality/r_bring_your_own/r_bring_your_own.ipynb |
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# # Yelp: Business Analysis
# !spark-shell --version
... | notebooks/business_analysis.ipynb |
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# + [markdown] id="-Zl2SU5CqJsJ"
# <!--COURSE_INFORMATION-->
# <img align="le... | module06/04_RUSLE.ipynb |
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# # Tutorial 0: Overview of built-in examples
# +
# S... | docs/tutorials/tutorial_0_built-in_examples.ipynb |
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# + [markdown] id="S5DrIaIbDHKv"
# # Name:- <NAME>
# #... | exp8/EXP8_Support_Vector_Machine.ipynb |
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# # Lesson 12: GAN's
#
# <img src='https://snag.gy/lAK... | live_notes/dl2_050_GANs.ipynb |
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# # Example: D-optimal experiment design with random d... | ipynb/ex_Dopt_random.ipynb |
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from keras.layers import Input, Dense, Dropout
fro... | .ipynb_checkpoints/IONOSPHERE_Autoencoder-checkpoint.ipynb |
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# # Download MAST TESS Light Curves Within an FFI Foot... | notebooks/MAST/TESS/beginner_tess_tap_search/beginner_tess_tap_search.ipynb |
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import pandas as pd
all = pd.read_csv('/mnt/Tsuna... | python_tornado/get_GNM_profile.ipynb |
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# + id="K9q6exejeHE6"
# !pip3 install tensorflow==1.15
# + id="JI8wg9T8eKnu"... | tensorflow basic/tensorflow_tutorial.ipynb |
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# 1 Write a Python Program to implement your own myred... | Python Assignment - 3.ipynb |
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# ## assignment 04: Decision Tree constru... | homeworks_basic/assignment0_04_tree/assignment0_04_decision_tree.ipynb |
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from functions_questions import add_to_file
from funct... | python/create-variable-overview.ipynb |
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# + [markdown] colab_type="text" id="ijHoIPRArufd"
# #... | module3-autoencoders/U4_S3_M3_Reading_Questions.ipynb |
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# Memanggil Dependencies
import pandas as pd
impor... | Main ANN Sklearn.ipynb |
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import numpy as np
import cv2
import matplotlib
im... | LaneDetect.ipynb |
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'''Code for fine-tuning Inception V3 for a new tas... | project/code/playground.ipynb |
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import os
from shutil import copyfile
path = '/home/m... | src/organizing_data_jana.ipynb |
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# <h1 align="center">5.3 Essential Functionality Part ... | Python-For-Data-Analysis/Chapter 5 Pandas Basics/5.3 Essential Functionality Part II.ipynb |
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#Notes to self: Run nc2zarr -c examples... | data/explore.ipynb |
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# # A Sample Classes in Python
class Car:
def __i... | Class/OOP_1.ipynb |
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# PROJETO - MÓDULO ESTATÍSTICA
#
# ALUNOS:
... | Previsao de Renda com Regressao Linear - Filipinas/Previsao_Renda.ipynb |
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# # Simple acceptor
#
# - from http://pyfst.github.io/... | notebooks/simple_acceptor.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Day5.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Project - Visualization for company stakeholders.ipynb |
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# # Method: Koopman Autoencoders
# # Datas... | 2_small_size/1_lorenz8_20percent/4_koopman_lorenz8_small.ipynb |
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# # This notebook compares the outputs from VESIcal to... | manuscript/Supplement/JupyterNotebooks/Shishkina/S7_Testing_Shishkina_et_al_2014.ipynb |
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# + pycharm={"name": "#%%\n"}
import numpy as np
impo... | examples/Equilibrium models (RNN-style model on MNIST).ipynb |
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# <h3><b>Introduction</b></h3>
# <p> The goal of this ... | Beijin Air quality (predicting PM2.5).ipynb |
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# # Run the demo
#
# For FuxiCTR v1.0.x only.
#
# We p... | tutorials/v1.0/1_run_the_demo.ipynb |
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# +
# ----------
# User Instructions:
#
# Write a fun... | optimum-policy_quiz/optimum-policy_quiz.ipynb |
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# + id="vtp9xikALsD0" colab_type="code" colab={}
from keras.models import Mod... | Implementation/Image_Classification/Inception/Inception_v3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Soulcode_Python_001_aula_introdutoria.ipynb |
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# !ls -lh ../data
# !head ../data/supp_table_haplotyp... | notebooks/chapter6/extra_metrics.ipynb |
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import pymongo
from pymongo import InsertOne, ... | experiment/test_data[10.1~10.2].ipynb |
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"""In progress.
<NAME>, Jan 2016.
"""
# %%
import tensorflow as tf
from libs.connections import conv2d, linear
from collections import named... | files/nb_demo/tensorflow/tutorial/10_residual_network.ipynb |
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# # Fully Convolutional Neural Networks
#
# Objectives... | labs/05_conv_nets_2/Fully_Convolutional_Neural_Networks.ipynb |
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# # Progress--Four detailed steps
# ## 1. Data cleanin... | presentations/Changming_2_22.ipynb |
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# <a id='toc'>Table of Contents</a>
# 1. <a href='#fgo... | Matplotlib.ipynb |
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#import dependencies
from splinter import ... | Mission_to_Mars/mission_to_mars.ipynb |
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# # Common Python Data Structures (Guide)
#
# [https://rea... | notebook/01-dicitionaries-maps-and-hash-tables.ipynb |
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# # Optimización de funciones escalares diferenciables... | Modulo1/Clase2_OptimizacionSympy.ipynb |
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# # Create... | compare_real_bug_finding_ability/create_dataset_from_real_bugs_binopnds.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Language_modeling/IA161_Language_modeling.ipynb |
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# # NumPy arrays
# NumPy arrays, *ndarray*, are more e... | Chapter 1 - Essential packages/Essential pieces of NumPy.ipynb |
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# ##### To com... | sql.ipynb |
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# # !pip install face_recognition
# + id="G5ZxzRBTkBCN... | ML/Week10_3.ipynb |
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# # StackOverflow, performance
#
# Main analysis.
imp... | notebooks/stackoverflow-performance.ipynb |
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# # K-Means Algorithm Demo
#
# _Source: 🤖[Homemade Ma... | notebooks/k_means/k_means_demo.ipynb |
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from os.path import join
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# ## Introduction
# In this chapter, you will start th... | Packt-Maths-Data-Scientist/CHAPTER 1 - Set algebra, discrete math, and numbers.ipynb |
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#get Iris test dataset using sklearn library
from ... | ch03/07-random-forest-classifier.ipynb |
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# # Predictive modeling - Hyperparameter Tuning
# In ... | notebooks/04d - Predictive modeling - Hyperparameter Tuning.ipynb |
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import numpy as np
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#@ IMPORTING THE LIBRARIES:
import pandas as pd
import ... | LogisticRegression/LogisticRegression.ipynb |
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# # MALARIA DETECTION
# ### Lets take a look at how w... | Notebooks/malariadetection.ipynb |
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# L... | module1/assignment_kaggle_challenge_1.ipynb |
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# # Data Cleaning Notebook - Example
# This is the mor... | Data Cleaning Notebook - Example.ipynb |
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# # Playing with Pandas and Numpy
#
#
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import torch
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# ## Basics
# ### Let's Start
# - The main differen... | _build/jupyter_execute/contents/Tensorflow/Basics.ipynb |
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# # Excercises Electric Machinery Fundamentals
# ## Ch... | Chapman/Ch6-Problem_6-02.ipynb |
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base_transfer_set = ['01', '02', '04', '05'... | EDA/01.ipynb |
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# **Nmed Entity Recognition**
#
# - NER is a... | Named_Entity_Recognition.ipynb |
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# + id="nm_n651NMm7M" colab_type="code" outputId="17d62d82-c386-4747-f320-783... | matrix_two/day1_meta.ipynb |
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# ## 1 Prediction Model: an application of Convolution... | notebooks/cnn-congress-all-cosponsors.ipynb |
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# # sbpy.photometry: Disk-integrated phase function
#
... | notebooks/photometry/integrated_phasefunc.ipynb |
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"".isspace()
" ".isspace()
" fdsf".isspace()
"sdfsd... | string questions 4.ipynb |
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# # Iris flower classification with scikit-learn (r... | how-to-use-azureml/explain-model/explain-tabular-data-local/explain-local-sklearn-multiclass-classification.ipynb |
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# <img align="left" src="https://lever-client-logos... | module1-rnn-and-lstm/LS_DS_431_RNN_and_LSTM_Assignment.ipynb |
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# # "Augmentations: Cutout, Mixup, Cutmix, Label Smoothing"... | _notebooks/2022-03-27-Augmentations-visually-explained.ipynb |
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# # **CARE: Content-a... | Colab_notebooks/CARE_2D_ZeroCostDL4Mic.ipynb |
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import numpy as np
arr = np.array([[b'r', b'n', b'b',... | Blender/Blender Aux.ipynb |
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# **Anamoly Detection using Isolation Fores... | IFA.ipynb |
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# ## Programming Exercise 2 - Logistic Regression
#
# ... | Notebooks/.ipynb_checkpoints/Programming Exercise 2 - Logistic Regression-checkpoint.ipynb |
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# + slideshow={"slide_type": "skip"}
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impo... | analysis/state_distributions.ipynb |
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# # Sentinel-2 <img align="right" src="../Supplementar... | Datasets/Sentinel_2.ipynb |
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# # 函数
#
# - 函数可以用来定义可重复代码，组织和简化
# - 一般来说一个函数在实际开发中为一个... | 7.20.ipynb |
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import requests
from bs4 import BeautifulSoup
import ... | scripts/418 IMDb final project.ipynb |
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# ### Konlpy Pos Tagging
# +
from ko... | pos_tagging.ipynb |
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from pororo import Pororo
age = Pororo(task="age_suit... | examples/age_suitability.ipynb |