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# # Measurements analysis
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import math... | final_measurements_analysis.ipynb |
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# # Fetching Twitter and Reddit data
#
# This notebook... | stock_price_analysis/Data_Fetching/Data_fetching_twitter_reddit.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## Тести... | services/movies_ugc/benchmarks/olap/BENCHMARKS.ipynb |
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# ## Activity 3: Analyzing Airbnb Data with geoplotlib... | Chapter07/Activity7.03/Activity7.03.ipynb |
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from sklearn import cross_validation, datasets
from sk... | C2W5/naive_bayes.ipynb |
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from bigdl.util.common import *
from image ... | apps/feature/image_augmentation.ipynb |
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import pandas as pd
import numpy as np
import var
... | alpha.ipynb |
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# ### Deploy and I... | LUCE-API/luce_vm/jupyter/x) Anthony Contract Test.ipynb |
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# ## Exercise 2.01
import pandas as pd
import numpy a... | Chapter02/Exercise2.02/Exercise2_02.ipynb |
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# + [markdown] id="0s5qDoyasFLH"
# <a href="https://co... | Natural Language Processing Tensorflow/C3_W1_Lab_3_sarcasm.ipynb |
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# # Document retrieval from wikipedia data
# ## Fire ... | homework/course.1.homework.3.ipynb |
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# name: python37664bitmvabyrconda8543ffede47... | MyCode/Chapter02.ipynb |
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# ![Callysto.ca Banner](https://github.com/callysto/cu... | notebooks/digit-sums.ipynb |
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# # Data Types and Missing Values
#
# One of the most ... | jupyter_notebooks/pandas/mastering_data_analysis/01. Intro to pandas/03. Data Types and Missing Values.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="_jGuJWHhCJ8L" outputId=... | research/NLI/pretrained_adjacency.ipynb |
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# # Appendix 0: Different input types for Hamiltonians... | appendix/00_types.ipynb |
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# # Ocean data handling
#
# In this notebook we show h... | notebooks/ocean-data.ipynb |
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# + colab={} colab_type="code" id="OADFwxpspAKW"
impor... | Preprocessing/Feature Importance/Features_Importance_Forest_of_Trees_NewDataSet.ipynb |
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# + [markdown] id="Sk_8tXrZj1Qy"
# ## Analysis of hist... | model_innondations/notebook/emdat_historical_analysis.ipynb |
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# %load_ext autoreload
# %autoreload 2
import os, sys... | MC simulation/dosecalc/jupyter_notebooks/Check_electron_dose.ipynb |
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# # Think Bayes
#
# This notebook presents code and ex... | solutions/quiz04_soln.ipynb |
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import csv
import cv2
lines = []
with open('./data/dr... | .ipynb_checkpoints/model-checkpoint.ipynb |
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# + [markdown] id="SymssfV7IcQ7"
# ![JohnS... | tutorials/Certification_Trainings/Healthcare/11.Pretrained_Clinical_Pipelines.ipynb |
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import cv2
import tensorflow as tf
from tensorflow.keras.pr... | image_classfication.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 07Octubre.ipynb |
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# # Libraries
import os
import pandas as pd
from tqdm... | AUDIO/Inference on Extrasensory.ipynb |
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library(R.matlab)
library(wavelets)
library(tuneR)
library(seewave)
libr... | notebook/transformData.ipynb |
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# + [markdown] colab_type="text" id="xu2SVpFJjmJr"
# #... | deepdream.ipynb |
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# %matplotlib inline
import pandas as pd
import matpl... | validation/Vader_JavaVsPython.ipynb |
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import pandas as pd
pd.__version__
# import os
# os.pa... | PostDiffMixture/simulations_folder/simulation_analysis_saves/banditsGraphs/BN_three_arms_switchToBest.ipynb |
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import pandas as pd
import numpy as np
march = pd.rea... | data/make_mobility_states.ipynb |
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import numpy as np
a = np.arange(15).reshape(3,5)... | zeromatrix.ipynb |
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# + [markdown] deletable=true editable=true
# How to c... | examples/notebooks/create_deployment.ipynb |
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# *Copyright (c) Cornac Authors. All rights reserved.*... | tutorials/param_search_vaecf.ipynb |
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# # Atlas API For Data Science Demo
# +
import reques... | notebooks/Atlas_API_DataScience_Demo.ipynb |
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import sys
import os
import math
import random
im... | challenge/RobertShaw/G3 example - DEMO.ipynb |
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using Pkg,Statistics,Random,Printf,GZip,Knet,Plots... | archive/20181019-noisy-gaussian_sgd.ipynb |
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# # Usage
#
# ## Installation
#
# To Install please run:
#
# ```bash
# pip in... | docs/source/usage.ipynb |
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# ## Part 3.6. Load a pretrained weights and report the... | assignment4/.ipynb_checkpoints/Assignment_4_load_model-checkpoint.ipynb |
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import matplotlib.dates as mdates
import m... | taiwan_coronavirus_response.ipynb |
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# ### K-Nearest Neighbor Algorithmus:
#
# #### Paramet... | Chapter3_MLIntroduction/KnnAlgorithm/KnnImplementation_3.ipynb |
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# + [markdown] id="wlYslPD1uRp2"
# # OC4IDS Database - Check and Import
#
# U... | OC4IDS_Database_Data_Import.ipynb |
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# <hr>
# # PREDICTING THE STOCK MARKET WITH WATSON
... | notebooks/forecasting-the-stock-market.ipynb |
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#read striped lines from day4.txt
lines... | 2021/day04.ipynb |
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import torch
import networkx as nx
import numpy as np
... | notebooks/module_sandbox/spider_nodes.ipynb |
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library(sparklyr)
library(dplyr)
# Spark session & context
sc <- sp... | work/local_sparklyr.ipynb |
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# %matplotlib inline
#
# # XDAWN Denoising
#
#
# XDA... | 0.12/_downloads/plot_xdawn_denoising.ipynb |
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import tensorflow as tf
batch_size = 32
img_size ... | CNN/.ipynb_checkpoints/TrainWithCNN-checkpoint.ipynb |
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# # Optimizing Python Code with [Cython](https://cytho... | cython/notebooks/Cython1.ipynb |
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# # Data Munging: Strings
#
# Data munging, the process of wrestli... | exercises.ipynb |
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# ## Alignment Mark Model Training
#
# Make sure that ... | SmartScope/smartscope/notebook/training/alignment_training.ipynb |
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# # Welcome to Python 3!
# In this [Jupyter Notebook]... | Jupyter Notebook/Coding Workshop.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | spark/1 - basic/read_save.ipynb |
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# + [markdown] id="5NOCVQLXLMzE"
# # Anticipez les bes... | .ipynb_checkpoints/p4 - Copie-checkpoint.ipynb |
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# View more python tutorials on my Youtube and You... | matplotlibTUT/plt12_contours.ipynb |
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# # Frida Kahlo Exhibition
#
# You've been hired to wo... | fridakahlo/frida_project.ipynb |
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# # Regression and Other Stories: Newcomb
#
# Posterio... | ROS/Newcomb/newcomb.ipynb |
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# <a id='top'></a>
# ## Power calculations concept
#
# 1. Read in the or... | Power Calcs 07.24.16.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tokenizerImdb_subwords.ipynb |
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# %load_ext autoreload
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import numpy as np
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import matplotl... | Velocity Epochs Treadmill.ipynb |
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# # データサイエンス100本ノック（構造化データ加工編） - Python
# ## はじめに
# -... | docker/work/preprocess_knock_Python.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | pyfund/Cap12/DSA-Python-Cap12-02-Deep-Learning-Teste.ipynb |
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# ## Training and Quality control for nuclear segmenta... | python_notebooks/training_stardist_models.ipynb |
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# ## _*H2 ground state energy computation using Iterat... | community/aqua/chemistry/h2_iqpe.ipynb |
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# **Chapter 19 – Training and Deploying TensorFlow Mod... | 19_training_and_deploying_at_scale.ipynb |
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# ## Inspect the Portfolio
# +
require_relative "../lib/... | account/inspect_portfolio.ipynb |
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# # Protik Real Estate ~ Price Predictor
import pand... | Protik Real Estate Co. Price prediction project/Protik Real Estate Co. Price prediction project.ipynb |
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# # <span style="color:#bce35b;font-s... | DSC 540 - Data Preparation/Week 9 & 10.ipynb |
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# <a href="https://colab.research.google.com/github/av... | nbdev_learn_00_setup.ipynb |
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import pandas as pd
from sklearn import dataset... | notebooks/train-iris-classifier-pmml-ksql.ipynb |
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import pandas as pd
df = pd.read_csv('alexa_sections_report.csv')
df.head()... | notebooks/alexa_section_distribution_report/alexa_section_report.ipynb |
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# Load libraries
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# default_exp models.RNNPlus
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# # RNNPlus
#
# ... | nbs/105_models.RNNPlus.ipynb |
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# + [markdown] id="BbwgR5UdNkkm"
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# + colab={"base_uri": "https://localhost:8080/"} id="2Y2c9H6Z9N5Z" outputId=... | 170104017.ipynb |
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from datetime import datetime
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# # PyTorch를 이용한 딥러닝
#
# 기존의 머신러... | 05a - Deep Neural Networks (PyTorch)_KR.ipynb |
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# # IEU ACM Python'a Giriş - Veri Yapıları ve Objeler
... | variablesAndObjects.ipynb |
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# # MiniFlow implementation for Self-driving Car Nanod... | MiniFlow.ipynb |
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#
# ============================... | matplotlib/gallery_jupyter/text_labels_and_annotations/fonts_demo.ipynb |
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# # Solving some ... | Mathematics_for_Machine_Learning_Linear_Algebra.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | Data Science Academy/PythonFundamentos/Cap08/Notebooks/DSA-Python-Cap08-01-NumPy.ipynb |
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# # <NAME>, March 26th, vg-stats
# ## Video Game Sales... | vg_stats/vg_stats.ipynb |
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imp... | RandomForest.ipynb |
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# # Create a Dataset from a JSON file
#
# This example... | examples/downloading_and_uploading_data/create_dataset_from_json.ipynb |
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# # CLI Record Linkage CSV Generation
# ## Boilerplat... | notebooks/cli-example-generation/CLI-Record-Linkage-CSV-Generation.ipynb |
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... | checkpoints/projectDL-checkpoint.ipynb |
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# # Handle imports
import numpy as np
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import... | Single Particle Recognition.ipynb |
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# # <center>Διακριτή και Συνεχής Μέθοδος των ελαχίστων... | FINAL VERSION - 31_8_20/.ipynb_checkpoints/Method LSQ FINAL-checkpoint.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/labs/lab02/notebook/cs109a_lab2_more_pandas.ipynb |
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class Node:
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left_child_add... | Binary_Tree_Day_4.ipynb |
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# + [markdown] colab_type="text" id="8g4rFjz83o6J"
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# * 本例展示如何在alpha-mind中使用机器学习模型
#
# * 请在环境变量中设置`DB_URI`... | notebooks/Example 12 - Machine Learning Model Prediction.ipynb |
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import gensim
import sys
if "../mo... | notebooks/semantic-changes.ipynb |