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# # Ex - GroupBy
# ### Step 2. Import the dataset f... | 2-EDA/2-Pandas/Practica/04_Grouping/Alcohol_Consumption/Alcohol_Consumption aula.ipynb |
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# # Tutorial - Ground Truth Estimation
# >... | nbs/tutorial_gt.ipynb |
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# * Linear Regression
rentalsDF = spark.... | class example/16RegressionClustering.ipynb |
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from IPython.display import HTML
HTML('''<script>
code... | Notebooks/Jupyter_Magics.ipynb |
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from sklearn import datasets #stores anacondas in-buil... | section4/Lecture22.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | notebooks/1_2_Wonderland-short.ipynb |
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import heapq
def lilysHomewo... | hacker-rank/lilys-homework.ipynb |
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from model import *
from data import *
base_path ... | trainUnet.ipynb |
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# # <center>Python Basics<center/>
# <img height="60"... | Python Primer/PythonBasics_3.ipynb |
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# # 数据规整：连接、联合与重塑 Data Wrangling: Join, Combine,
imp... | ch08.ipynb |
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# ## <small>
# Copyright (c) 2017-21 <NAME>
#
# Permis... | Notebooks/Bonus02-KerasPart1/Bonus02-Keras-3-Model-Creation-Summary.ipynb |
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# # Build Your First QA System
#
# <img style="float: ... | tutorials/Tutorial1_Basic_QA_Pipeline.ipynb |
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# %matplotlib inline
#
# ****************************... | python/learn/matplotlib/tutorials_jupyter/colors/colormap-manipulation.ipynb |
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# + [markdown] colab_type="text" id="SsgOxKzsYVlf"
# #... | notebooks/.ipynb_checkpoints/accuracy-checkpoint.ipynb |
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# # Train and Host a Keras Model with Pipe... | chapter4/3_Streaming_S3_Data.ipynb |
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import os
os.chdir('../../')
import DeepPurpose.D... | Processing/r2/DeepDTA-kdki-r2-1.25k.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
# .... | doc/source/algorithms/unsga3.ipynb |
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# # Project - Perceptron
# - Try a Perceptron model wi... | Machine Learning With Python/01 - Project - Perceptron.ipynb |
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# ## Introduction to SIFT (Scale-Invariant Feature Tra... | SIFT.ipynb |
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# Import required packages
import os
import shutil... | train-xy/VGG16.ipynb |
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"""Manually build a mesh."""
from vedo import *
... | examples/notebooks/basic/buildmesh.ipynb |
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array = np... | frequencies/frequency.ipynb |
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from ... | analysis/notebook/feature_selection/Boruta_feature_selection_notebook.ipynb |
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# # Federated Learning Training Plan: Host Plan & Mode... | examples/experimental/FL Training Plan/Host Plan.ipynb |
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# name: python37564bittf2condaf9656480b0924f55a... | TF2/MNIST_TF2.ipynb |
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# # Cell Magics in IPython
# IPython has a system of ... | 001-Jupyter/001-Tutorials/003-IPython-in-Depth/examples/IPython Kernel/Cell Magics.ipynb |
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library(caret)
library(data.table)
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path = '/home/zongyi/bimbo_data... | Bimbo/.ipynb_checkpoints/R_correlation-checkpoint.ipynb |
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# HIDDEN
from datascience import *
from pro... | notebooks/Chapter_04/03_Conditional_Distributions.ipynb |
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import copy
featuresDir ... | Dimensionality-Reduction/src/Normalization.ipynb |
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# + [markdown] colab_type="text" id="nCc3XZEyG3XV"
# L... | module1-define-ml-problems/LS_DS_231_assignment.ipynb |
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# # Chemical Dose Controler (CDC) Simplification
# **T... | Previous Final Projects/2017/Chemical Dose Controller Simplification/Team_MIC_Chemical_Dose_Controller_Simplification_Report.ipynb |
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import humanreadable as hr
print("\n[Examples: hu... | examples/humanreadable_examples.ipynb |
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# <p style="text-align: right;"> ✅ Put your name here</p>... | quantum/Day-23_Pre-Class_QuantumComputingBackground-INSTRUCTOR.ipynb |
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# ## Wide Format (Untidy)
# The **wide format** (or t... | src/notebooks/90-heatmaps-with-various-input-format.ipynb |
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# # Des cartes interactives dans ipython Notebook ?
#... | test_map_with_folium.ipynb |
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# <center>
# <img src="http://image.yes24.com/goods/87... | Chapter_2.1.ipynb |
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# # Transfer Learning on a network, where roads are... | learning_DAN/transfer_DAN.ipynb |
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#default_exp tables
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#export
import json
from... | 73-table-output.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Passive_Param.ipynb |
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# # Project
import math
import itertools
import numpy... | adjacencies/CoAppearance-gender/Adj-CoApp-gender.ipynb |
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# if we want to do same thing again and again, to avoi... | Code/3 Functions.ipynb |
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# + [markdown] nbgrader={}
# # Interact Exercise 5
# ... | assignments/assignment06/InteractEx05.ipynb |
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# # CHARACTER LEVEL GENERATION
#
# In this notebook we... | Model/Jackson_model-2.ipynb |
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# # [LEGALST-190] Lab 3/13: Parsing XML Data
# This l... | labs/3-13/3-13_Parsing_XML_Data_solutions.ipynb |
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# # Segmentation en phrases
# ## Imports
... | module4/s3_sentence_tokenizer.ipynb |
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# # Requirements
#
# - install node2vec code and add e... | Notebooks/Chapter_6.ipynb |
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# A Convolutional Network implemen... | notebooks/3_NeuralNetworks_convolutional_network.ipynb |
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df = pd.read_csv('G:\Meu Drive\My... | Jupyter Lab/library's/pandas_library/datasets_/dataset_02.ipynb |
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# + [markdown] graffitiCellId="id_slc0gil" id="1C259CB... | notes/task7/task7-word2vec.ipynb |
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# # Creating Graphs from Folder Structures with Python... | notebooks/folderstats-graphs.ipynb |
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#importing the input.csv as a... | Day 2.ipynb |
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# # Spatially-Resolved Mass-Metallicity Relation with ... | notebooks/resolved_mass_metallicity_relation_SOLUTION.ipynb |
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# 80~100, 615~635
eva = []
name = []
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# <img width="10%" alt="Naas" src="https://landen.imgi... | generate_readme.ipynb |
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# # This is 1st notebook
print("Hello, World!")
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lemmatizer = W... | nltk/lemmatizing.ipynb |
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# # Upload Test Notebook
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# # Merging U2M and V2M data and calculating Wind Spee... | Analysis/.ipynb_checkpoints/Merging_U2M_&_V2M -checkpoint.ipynb |
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# Code repurposed from Kaggle [https://www.kaggle.com/... | notebooks/by_coin/eos_notebook_from_Yahoo.ipynb |
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# + [markdown] id="2GRQnxMzISE_"
# # Proyecto 03 - Pro... | Victor Mendez_DS_Proyecto_03_NLP.ipynb |
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import tensorflow as tf
sess = tf.InteractiveSession(... | TF Variables and Placeholders.ipynb |
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# # Prob 1.9
# 1.9
#
# A time series with a per... | problems/TimeSeriesHWProblems.ipynb |
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# + dc={"key": "3"} deletable=false editable=false run... | DataCamp/Up and Down With the Kardashians/notebook.ipynb |
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# + id="YqsOmFjqmuvo"
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pd.options.display.float_format = ... | Docs/DataReport/datasets_absolutos.ipynb |
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import sys
sys.path.insert(1, 'C:/Users/peter/Des... | Examples/MIDAS_sim_v2.ipynb |
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# <img alt="QuantRocket logo" src="https://www.quantro... | quant_finance_lectures/Lecture29-Universe-Selection.ipynb |
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# ## requests
# [官方文档](https://2.python-requests.org... | python/modules/jupyter/Requests.ipynb |
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# Standard module imports
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from copy import deepcopy
import itertools
impor... | spinup/algos/pytorch/lstm_ddpg/.ipynb_checkpoints/Untitled1-checkpoint.ipynb |
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import pandas as pd
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# # PDFs and Spreadsheets Puzzle Exercise
#
# Let's te... | docs/Notebooks/23.pdf-and-csv-puzzle-exercise.ipynb |
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# + [markdown] _uuid="8f2839f25d086af736a60e9eeb907d3b... | 2 digit recognizer/25-million-images-0-99757-mnist.ipynb |
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i... | src/bayesian_optimization/test.ipynb |
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# # Noise Bézier
#
# Demo using both `noise()` and `be... | examples/_notebooks/noise_bezier.ipynb |
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# # Comparing different clustering algorithms on toy d... | manifold_learning/sklearn_clustering.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import sys
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impor... | notebook/eval model.ipynb |
# ## 声音识别项目介绍
#
#
#
# ## 开发环境
#
# * TensorFlow的版本：2.0 +
# * keras
# * sklearn
# * librosa
#
# ## 下载数据
#
#
#
# +
# !wget http://tianchi-competition.oss-cn-hangzhou.aliyuncs.com/531887/train_sample.zip
# !wget http://tianchi-competition.oss-cn-hangzhou.aliyuncs.com/531887/test_a.zip
# !unzip -qq train_sample.zip
# !... | 1.baseline.ipynb |
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import collections
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... | notebooks/overlaps.ipynb |
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# + [markdown] id="2_l6TVZdgsOl"
# # Building a simple Gridworld v2 Environme... | _notebooks/2022-01-22-gridworld-v2.ipynb |
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# + id="3PturmDN40NY"
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imp... | 03-TrainUnet-1000.ipynb |
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# ###### NB! This,InteractiveLoginAu... | copy_my_subfolders_to_my_grandparent/notebook_demos/esml_classification_2_score_testset.ipynb |
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# # Tutorial: `batch`
#
# `hs_process.batch` extends t... | hs_process/examples/tutorial_batch.ipynb |
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# # 2A.ml - Features ou modèle
#
# On se pose toujours... | _doc/notebooks/expose/ml_features_model.ipynb |
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############## PLEASE RUN THIS CELL FI... | session8/complete/session8.ipynb |
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# # Quantum Fourier Transforms
#
# T... | QFT/QFT.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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sc.install_pypi_package('boto3')
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class MapNode:
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import os
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