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# # Examples and overview
# You now have all the basi... | 06/Examples_and_overview.ipynb |
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import pandas_datareader as data
import pandas as ... | Research/Correlation Matrix - Yahoo Finance.ipynb |
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# # BALTO Graphical User ... | BALTO_GUI.ipynb |
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import xarray as xr
impor... | notebooks/2022-06-17_nwp_resample_and_recent_t0/NWP_resample.ipynb |
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# ### Note on NLTK data download
# Run the cell below ... | tokenization_practice.ipynb |
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# name: python3100jvsc74a57bd0793eb695977fec631855426e2f18f47b7a... | playground.ipynb |
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# # Import libraries and data
#
# Dataset was obtained... | notebooks/reco-tut-asr-99-10-metrics-calculation.ipynb |
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import numpy as np
import pandas as pd
... | HIGH/SASH_2D.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | delphi_interim_query_builder_test_env.ipynb |
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# %matplotlib inline
import pandas as pd
import ... | falx/notebooks/.ipynb_checkpoints/matplotlib_exp-checkpoint.ipynb |
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# + [markdown] id="9tu5aMWDKJon"
# # Verify GPU
# + c... | Homework 6/Transformers Trainer.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %reload_ext autorel... | community_detection/extract_topic_pims/topic_based_pims.ipynb |
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# # Paraphrase
# <div class="alert alert-info">
#
# T... | example/paraphrase/load-paraphrase.ipynb |
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# # Gaussian elimination and LU decomposition
#
# Say ... | Matrix Factorisation/LU.ipynb |
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# # Preamble
# +
libraries = c("dplyr","magrittr","tidyr","ggplot2","gr... | scripts/.ipynb_checkpoints/C1. Sensitivity analysis [R]-checkpoint.ipynb |
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from PIL import Image
img = Image.open("brain.tif")
im... | color percentage and MASKING.ipynb |
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# # Implement de l'algorithme de la descente de Gradie... | python/algorith_gradient_descent.ipynb |
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# # Using Clipped PPO for Automated Model Compression
... | examples/automated_deep_compression/ppo-amc-results.ipynb |
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# %matplotlib notebook
# %matplotlib notebook
imp... | sim/dev/sinGordon/Untitled Folder/Untitled.ipynb |
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# **[Pandas Home Page](https://www.kaggle.com/learn/pa... | 04 Pandas Certificate/exercise-renaming-and-combining.ipynb |
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# # Detecting horizontal gene transfer (HGT)
#
# This ... | Notebooks/HGT_flagging.ipynb |
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# # 30 seconds example
#
# A new workflow is created an... | examples/30-seconds-example.ipynb |
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# ## LRUCache
# +
"""
Each ListNode hold... | notebooks/LRUCache.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | seq2seq.ipynb |
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from transformers import GPT2Tokenizer, GPT2Model,... | analytics/embeddings_for_the_people/personalised_GPT2/prepare_training.ipynb |
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from numpy import *
from pylab import *
from netCDF4 i... | MOM6_utils/notebooks/.ipynb_checkpoints/INPUT_files-checkpoint.ipynb |
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# # WeatherPy
# -... | WeatherPy/WeatherPy.ipynb |
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# <h3>Recursion: Fibonacci Numbers</h3>
# <i>
# The F... | Lista Python IV/HackerRank - Interview Preparation Kit (Recursion and Backtracking).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | handsonml/handson_ml_02_end_to_end_machine_learning_project.ipynb |
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import inspect
import os
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from typing im... | notebooks/ellipse_fitting.ipynb |
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# # Analisi delle reti sociali
# <img style="float: r... | 14_analisi_delle_reti_sociali.ipynb |
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# # Data Analysis
#
# ### Objetivo:
# #### Com base n... | data-analysis-houseprices.ipynb |
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# %conda env update -... | dataset_preparation/2_PredictionDataCreation.ipynb |
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# # Mutex Watershed
#
# Use the `elf.segmentation` mod... | example/segmentation/mutex_watershed.ipynb |
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# + [markdown] id="Gl6lU6VqsgtU" colab_type="text"
# # Getting Started with T... | Section 2/Packt_2_1_1.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | 02-tvads.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="z2d830efzJl0" outputId=... | Naver_shopping_review.ipynb |
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# # Example usage with Python 3
# This notebook demons... | doc/examples/workflow_python.ipynb |
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# + jupyter={"outputs_hidden": false}
# %matplotlib in... | Datasets transformations/ML0101EN-14-Comparing_ Of_all_Feature_Scaling.ipynb |
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from azure.cognitiveservices.vision.c... | src/download_images.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Loop_Statement.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | _posts/ithome/2020-12th-ironman/7.非監督式學習-降維(1)/.ipynb_checkpoints/6. 非監督式學習 K-mean分群-checkpoint.ipynb |
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import pandas as pd
data_set = pd.read_csv('steam... | steam_clean_data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | structure_by_dina_5.ipynb |
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# # EDS Case Study
#
# Load and resample GSS data
#
# ... | eds01_gss_clean.ipynb |
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# Grafico de la distribución Beta
import numpy as ... | DiderGonzalez/Ejercicios 1.0/Repaso Estadistica/Funcion de densidad.ipynb |
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# ## 3.1 Three in One:
# Describe how you could use a... | Issues/algorithms/Stacks and Queues.ipynb |
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#次元の呪いをMCMCで実感する
# -
# %matplotlib inline
# +
#M... | curse of dimentionality.ipynb |
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# # Constrained Simulation Examples
from typing impor... | examples/notebooks/ConstrainedSim.ipynb |
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# pyLigthGBM
# =======
#
# Python wrapper for Microsof... | notebooks/regression_example_kaggle_allstate.ipynb |
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# + colab={"base_uri": "https://localhost:... | ch03/3_1_Understanding_Maths_for_Regression_Models.ipynb |
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def func(fun, a):
return fun(a,a,a)
print(fun... | Python Basic/Week 4/10. Functional Programming/.ipynb_checkpoints/Anonymous or lamda function-checkpoint.ipynb |
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# ## Operaciones con listas
lista_1 = [2,1,4,3]
list... | notebooks/007a_intro_numpy.ipynb |
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# <a href="https://colab... | Classification_01_Feature_Pre_Processing.ipynb |
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from geninfo import *
df=pd.read_csv('data.csv')
df
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# # Parsing Dates
#
# Another common data transformati... | Transform/parsing_dates.ipynb |
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# + id="yRQW4RjjheVM" colab={"base_uri": "https://localhost:8080/"} outputId=... | python_exercicio_19ago2021/trabalho_final_grupo_schirlei_tode_gabriela.ipynb |
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# # A2 - Bias
#
# By: <NAME>
# Date: 10/05/2019
#
# ... | src/hcds-a2-bias.ipynb |
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# # Pierre-papier-ciseaux
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# Le jeu **pierre-papier-c... | doc/jeu/ppc.ipynb |
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# + id="copyright"
# Copyright 2021 Google LLC
#
# Licensed under the Apache ... | notebooks/community/ml_ops/stage3/get_started_with_bq_tfdv_pipeline_components.ipynb |
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# # Movies feature gr... | src/movie_feature_network.ipynb |
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# %load_ext autoreload
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# # An Introduction to Inference in Pyro
# Much of mod... | tutorial/source/intro_part_ii.ipynb |
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# Imports
# %load_ext autoreload
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# + [markdown] nbpresent={"id": "37bafa9d-bd32... | notebooks/.ipynb_checkpoints/Water_IO-checkpoint.ipynb |
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# #!pip install python-dotenv
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# Import depend... | bonus_employees.ipynb |
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# + [markdown] id="aaveNCjDcbtD" colab_type="text"
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# # Historical Tonnage List API Examples
# ## Setup
#... | docs/examples/jupyter/HTL API/Historical Tonnage List API.ipynb |
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# # Analyzing CIA Factbook Data Using SQLite and Pytho... | CIA_factbook_analyz.ipynb |
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# # 模型参数的访问、初始化和共享
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# 在[“线性回归的... | code/chapter04_DL-computation/4.2_parameters.ipynb |
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# # Finding the Authors of a Terrorist Attack
# # Tab... | code.ipynb |
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# ##### Import Packages
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# ### Import Packages
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# ## Topics covered in this notebook:
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# # Train Model with GPU (and CPU*)
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# # Evaluation
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# # 数据准备
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