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# # Load the Pretrained Model and the dat... | tutorials/bert-en-sst-2-tutorials.ipynb |
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# # Concise Im... | Tutorial-04/TUT4-3-mlp-concise.ipynb |
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import example_pkg
import base
dir(example_pkg)
bas... | Python final.ipynb |
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# *Copyright 2020 by <NAME> under the MIT license. Thi... | tutorial_submission.ipynb |
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# Setup Notebook to load Django... | notebooks/libpff_explore.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | scripts/deprecated-scripts/weightshistory-analysis.ipynb |
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import callflow
# %load_ext callflow
# %callflow --d... | examples/%callflow-ipython-magic.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Loop_Statement.ipynb |
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# # Running Times on Real World Graphs
#
# Graphs from... | notebooks/Paper - Real World Runtimes.ipynb |
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# # Walking
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import sys
sys.path.append("../../../")
... | docs/source/tutorials/Walking.ipynb |
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import hvplot.pandas # noqa
# Andrews curves provides a mechanism for visualising clusters of multivariate data.
#
# Andrews curves have the... | examples/reference/pandas/andrewscurves.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_Concepts2.ipynb |
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# + colab={"base_uri": "htt... | Worksheet8/HW_8.ipynb |
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# # Analizar UCI census dataset.
import re
import num... | RFCPY/exemplo4-Meetup-MLPOA.ipynb |
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# ###### Content under Creative Commons Attribution li... | 05_Diffusion_1D/01_Diffusion_1D.ipynb |
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# ### Day 10
# #### part A
import numpy as np
infile... | advent_of_code_10.ipynb |
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import numpy as np
import statsmodels.api as sm
import... | lectures/linear-regressions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | PP2_2_1_Conhecendo_o_Conjunto_de_Dados.ipynb |
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#... | notebooks/CalAcademy/Data_CalAcademy.ipynb |
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from sklearn.model_selection import tr... | Word_spoken_in_movie.ipynb |
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# ## Direct Optimization + A* sampling for TSP
impor... | .ipynb_checkpoints/visualize_tree_search-Copy1-checkpoint.ipynb |
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# # LSTM Structure and Hi... | 2_4_LSTMs/.ipynb_checkpoints/1. LSTM Structure-checkpoint.ipynb |
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# # Text in Python
#
# Für die computergestützte Texta... | 00_Python/Text in Python.ipynb |
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# + [markdown] papermill={} tags=[]
# <img width="10%"... | Youtube/Youtube_Extract_transcript_from_video_ID.ipynb |
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# Based on the results that we have obtained from the ... | ipynb/88soils/88soils-python-tutorial.ipynb |
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import numpy as np
import scipy as sc
import math
from... | imos_current_data/analysis_imos_current_data/Untitled2.ipynb |
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from tqdm.auto import tqdm
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imp... | .ipynb_checkpoints/Model-checkpoint.ipynb |
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# + [markdown] id="IhQhotF3atGI" colab_type="text"
# # Housing Market
# + [m... | 05_Merge/Housing Market/my_Solutions.ipynb |
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import sys as sys
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sys.path.ap... | notebooks/Untitled.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="tOhAux1ubEKG" outputId=... | Chapter_12/DQNCartPole.ipynb |
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from linkedin_scraper_2 import Company
from selenium i... | UTIL_DE_2.ipynb |
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from qiskit import QuantumRegister, ClassicalRegister,... | custom gate.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="7Zl22fWWN2PT" outputId=... | Pattern_codes/Pattern_Python_5.ipynb |
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# %load_ext autoreload
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# # heatmaps
# with Formula 1 data from https://ergast... | books/plot.heat.ipynb |
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# things we need for NLP
import nltk
from nltk.ste... | mlmodels/katana-assistant-endpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Mundo03/Desafio098.ipynb |
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# In this exercise we are going t... | 2016_SPD_Boulder/SunPy/Downloading and Plotting Data - Solutions.ipynb |
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# $\newcommand{\calf}{{\cal F}}
# \newcommand{\dnu... | MPResults.ipynb |
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# # How to define a simulation to call FEMM
#
# This t... | Tutorials/tuto_Simulation_FEMM.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/SADIsomers.ipynb |
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# # quant-econ Solutions: The Kalman Filter
#
... | solutions/kalman_solutions.ipynb |
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# # Visualization with Matplotlib
# **Learning Object... | days/day06/Matplotlib.ipynb |
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# Header starts here.
from sympy.physics.units imp... | ipynb/WB-Klein/5/5.7_cc.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | object_detection_for_image_cropping/archive/calculate_error_mAP.ipynb |
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# # Demonstrate Git Based ML Pipeline Automation
# -... | gitops_project.ipynb |
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# + nbsphinx="hidden"
import statsmodels.formula.api a... | lectures/regression-discontinuity/notebook.ipynb |
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# # Autoencoder Network Model
#
# ## Train for 5 epoc... | 05-02-Convolutional-Autoencoder/Notebook.ipynb |
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import numpy as np
from sklearn.datasets import fetch_... | notebooks/.ipynb_checkpoints/Math156_classification_MNIST-checkpoint_LOCAL_721.ipynb |
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# # WeatherPy
# -... | WeatherPy.ipynb |
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# # WPP: total population
# ## Parameters... | etl/steps/data/meadow/wpp/2019/standard_projections.ipynb |
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# # Programming Bootcamp 2018
# # Lesson 1 Exercises
#... | class_materials/Intro2Python/2019/.ipynb_checkpoints/lab1_exercises-checkpoint.ipynb |
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df = pd.read_c... | ch_02/exercises.ipynb |
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import pandas as pd
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import pandas as pd
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from sklearn.me... | module1-logistic-regression/Classification1 Day2.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 10_pipeline/01_Create_SageMaker_Pipeline_BERT_Reviews.ipynb |
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# # Custom Display Logic Exercises
from IPython.displ... | 04.Jupyter_and_iPython/appendix/Rich Output Exercises - Custom Display Logic .ipynb |
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# # E... | ELM_class_example.ipynb |
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from bqplot import *
from IPython.display import displ... | examples/Label.ipynb |
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# + id="xwNhk8ll8Inm"
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import pandas... | ANN/percepton from scratch.ipynb |
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# ### 1.3 Pré-processamento
# Vamos entender alguns do... | Inteligência Artificial/Natural Language Processing (NLP)/1. Introdução ao NLP e Análise de Sentimento/1.3 Pré-processamento.ipynb |
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# <center>
# ## <span style=color:blue> Frequency reso... | 4. Frequency resolution.ipynb |
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# # <font color='blue'>Data Science Academy</font>
# #... | code/dsa/Big Data Real-Time Analytics com Python e Spark/8-Arquivos-Cap03/13-Cap03-Matplotlib.ipynb |
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... | notebook/archive/Dataset exploration.ipynb |
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# languag... | Notebooks/Chapter 4 - Introduction to Autoregressive and Automated Methods for Time Series Forecasting.ipynb |
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# ### Create your own element, in this case a radar pl... | 2020_03_06/Talk_Part03_CreateYourElements.ipynb |
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# + [markdown] colab_type="text" id="-DiTKVvDy8rF"
# #... | Materials/L2 - Modeling and Python Foundations/L2_python.ipynb |
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# %pylab inline
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impor... | example/.ipynb_checkpoints/example-checkpoint.ipynb |
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# #... | DeepLearning/1. regression/multiple_linear_regression.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ![S... | presentation/Presentation.ipynb |
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# # Dictionaries for counting words
#
# A common task ... | exercises/WordFrequencies.ipynb |
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# Update sklearn to prevent version mismatches
# #... | .ipynb_checkpoints/DevHomeEquityPDModel - Dev_lm-checkpoint.ipynb |
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# # kilojoule Library
# We will be using a custom pyth... | examples/kilojoule Intro.ipynb |
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# # Using Static Mapping
import transportation_tutori... | course-content/exercises/solution-geo-static-map.ipynb |
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timeseries = np.array([[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, ... | Untitled.ipynb |
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import IPython.display as ipd
# [← Back to Index... | sheet_music_representations.ipynb |
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from __future__ import unicode_literals
import mat... | files/switrs-motorcycle-accidents-by-date/SWITRS Crash Dates With Motorcycles.ipynb |
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import numpy as np
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import matp... | Ugseseddel 10.ipynb |
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import os
print(os.listdir())
import numpy as np
impo... | ALS implementation/ALS Movie recommendation.ipynb |
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imp... | ml/Neural Network/ANN_equations_Implementation/NN_Implementation.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Instructions h... | starter_code/VacationPy_APT.ipynb |
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# <img style="float: right; margin: 0px 0px 15px 15px;... | TEMA-3/Clase21_DescargaHistoricosOpciones.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Xanadu4.ipynb |
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# + nbsphinx="hidden"
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# # Downloading cell metrics as a .csv file
#
# The fi... | BrainObservatory/Download_a_csv_from_search.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_assignment3_task1.ipynb |
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import pandas as pd
# ## Formas de Criar uma lista
#... | 02_fundamentos_pandas/notebook/11_formas_de_selecao.ipynb |
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list_images = os.listdir(r'./datasets/train... | Main_file.ipynb |
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# ## Sample 2.3
# This sample demonstrates how to deri... | sample2.3_propagate_distribution.ipynb |
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# %run helpers/noteboo... | exploration/protein/Exploration_and_quality_control.ipynb |
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# # HPDM097: Class coding basics
#
# > For a more deta... | oo_lecture.ipynb |