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# # Data Preprocessing and Machine Learnin... | notebooks/03-data-preprocessing-and-machine-learning-with-sklearn.ipynb |
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# look at tools/set_up_magics.ipynb
yandex_metrica_all... | caos_2019-2020/sem26-fs-fuse/fs_fuse.ipynb |
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# # L8 - Inheritance
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# As in any object-oriente... | Python Crash Course/Module 1 - Core Language/L8 Python.ipynb |
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# # Recommendations with IBM
#
# In this notebook, you... | Recommendations_with_IBM.ipynb |
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# # Non Linear regression using the diabetes dataset
... | examples/notebook/diabetes_non_linear_regression.ipynb |
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import torch as t
from torch import nn
from torch.auto... | WGAN.ipynb |
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# # Instructions
# * **<font color="red">When you load... | pH-Titration.ipynb |
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# +
# default_exp l10_anneal
# +
#export
from pathlib... | 01_core.ipynb |
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# soc.030 http://sedac.ciesin.columbia.edu/data/set/sp... | .ipynb_checkpoints/ene.023-checkpoint.ipynb |
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# # Pore Scale Imaging and Modeling Section I
# In th... | examples/paper_recreations/Blunt et al. (2013)/Pore-scale Imaging and Modeling - Part A.ipynb |
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# + [markdown] id="_as3tyDPAvzM"
# ##### Copyright 2021 The TensorFlow Author... | docs/guide/text_tf_lite.ipynb |
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# # Background
#
# This notebook walks through the cre... | Issue_Embeddings/notebooks/02_fastai_DataBunch.ipynb |
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# # Think Bayes
#
# This notebook presents example cod... | examples/red_sox.ipynb |
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import matplotlib as mpl
from matplotlib import py... | scripts/B.1.620-lineage-SNPs-main.ipynb |
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# ## NumPy Indexing and Selection
import numpy as np
... | 04 Numpy and Pandas/NumPy/Numpy Indexing and Selection.ipynb |
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import pandas as pd
import numpy as np
import plotly.e... | ADS-Assignment-2-3.ipynb |
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# # Introduction to MOOG
#
# > MOOG is a code ... | docs/Introduction to MOOG.ipynb |
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import tensorflow as tf
from tensorflow import keras... | augtest.ipynb |
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# # INTRODUÇÃO
# ------------
#
# O Python é uma lingu... | Completo.ipynb |
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import sqlite3
import pandas as pd
cnx = sqlite3.c... | Billboard Data.ipynb |
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# Importing the required functions to simulate the cir... | Code/src/Grover's Algorithm/GroversAlgorithm.ipynb |
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# # Scikit-Learn: un API de python para el aprendizaje... | Semana-12/scikit-learn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/2020_0722transformer_tutorial.ipynb |
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# + [markdown] id="TA21Jo5d9SVq"
#
#
# '
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# hash: 40f0aa7cb53c5143841... | kikagaku/Sesson5.ipynb |
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# # Introduction
#
# This note... | notebooks/Examples.ipynb |
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# # Temporary vs. Permanent Methods
#
# ### Temporary ... | content/03/02d_temp.ipynb |
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import os
import sys
ROOT_DIR = os.path.abspath("../")... | notebooks/01_prepare_data.ipynb |
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# + _cell_guid="79c7e3d0-c299-4dcb-8224-4455121ee9b0" ... | attempt-8/feature-exploration.ipynb |
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# # Load Data from File
# +
from pyspark.sql.types im... | spark-training/spark-python/jupyter-ml-bike-sharing/PySpark Bike Sharing Regression Skeleton.ipynb |
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# # Convolution of astronomical data
#
# The [astropy.... | instructor/10-convolution_instructor.ipynb |
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import pandas as pd
import pandera as pa
# +
#a limpe... | fundamentos_ETL/projeto/03-transformacao.ipynb |
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# # Installer for Email Notification Sched... | Email Notification Add-on Installer.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/explain-model/explain-on-amlcompute/regression-sklearn-on-amlcompute.ipynb |
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# # Genetic Algorithms with pyevolve
#
# <img src="img... | index.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | C1-Fundamentals/Dynamic-Programming/C1M4_Assignment2-v2.ipynb |
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import numpy as np
import pylab
import image... | Working CNN (Clean).ipynb |
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import sys
sys.path.append('../')
from torch.util... | notebooks/lastlayerbayesian.ipynb |
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# + [markdown] id="JmkqzqUpw-Hd"
# # Session 6: Encoder-Decoder
# ---
# + co... | Session6-GRUs,Seq2SeqandIntroductiontoAttentionMechanism/Session6_LSTM_Encoder_Decoder_TweeterDataset.ipynb |
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# # 11장 자연어처리 3부
# **감사말**: 프랑소와 숄레의 [Deep Learning w... | notebooks/dlp11_part03_transformer.ipynb |
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# # <font color=darkblue>ENGR 1330-2022 Exam 3 - Labor... | 5-ExamProblems/Exam3/spring2022/src/.ipynb_checkpoints/s22-ex3-deployA-jd-checkpoint.ipynb |
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# # "Solving the Problem of the K Parameter in the KNN... | KNN EnsembleClassifieR.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"in... | notebooks/03-model-data-analytics-test-ifood-israel-mendes.ipynb |
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# ### Machine Learning for Engineers: [GaussianMixture... | All_Source_Code/GaussianMixtureModel/GaussianMixtureModel.ipynb |
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def truth_table(gate):
print("*{}*".format(gate.__... | python/gate.ipynb |
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# # Training Keras model on Cloud AI Platform.
#
# **L... | courses/machine_learning/deepdive2/end_to_end_ml/labs/train_keras_ai_platform_babyweight.ipynb |
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# # Рекуррентные нейронных сетей
# +
import tensorflo... | Neural network in FPGA.ipynb |
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# # Apply logistic regression to categorize whether a ... | 07 Teaching Machines/donow/Devulapalli_Harsha_7_donow.ipynb |
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# %matplotlib inline
#
# # Blob Detection
#
# Blobs a... | digital-image-processing/notebooks/features_detection/plot_blob.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# #... | courses/2020-LMU-RDM/BIDS/BIDS_introduction.ipynb |
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# # Introduction
#
# This notebook will include experi... | step11_actor_critic_with_mem.ipynb |
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# # Creation of synthetic data for a stroke thrombolys... | 02_stroke_pathway/03b_CTGAN_log_regression.ipynb |
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# # SVI Part I: An Introduction to Stochastic Variatio... | tutorial/source/svi_part_i.ipynb |
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import requests
import pandas as pd
page = requests.g... | Notebooks/Law Professionals - Web Query Test - Request Multiple Pages in Loop.ipynb |
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import matplotl... | KNN usinf TD-IDF.ipynb |
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pickle_file = '../dataset/arbimon_0.pickle'
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from ... | Jupyter Notebooks/SVM-SOLO_0.1707.ipynb |
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# %matplotlib inline
#
# # With Clipping
#
# Removes ... | docs/_downloads/23e60af26d9bec72e2475f36b70fa6af/plot__with_clipping.ipynb |
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# #... | src/Set_16.ipynb |
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import pandas as pd
import numpy as np
import time... | policies/plu/update_EIR_zoningmods_lookup_Alt2.ipynb |
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#
# ## The highlighter extension:
#
# - Firstable, the... | nbextensions/usability/highlighter/demo_highlighter.ipynb |
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# # Maxwell's equations
#
# Maxwell's equation are som... | notebooks/d_geosciences/Electromagnetism/2_maxwell_eqs.ipynb |
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import pandas as pd
dados = pd.read_csv('... | pacote/Python Pandas - Tratando e analisando dados/extras/Criando faixas de valor.ipynb |
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import numpy as np
import pandas ... | notebook/SciKit SVM.ipynb |
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# ## Bibliotecas
import pandas as pd
import numpy as ... | capm2.ipynb |
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# # Hill Climbing
#
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#
# In this notebook, we wil... | hill-climbing/Hill_Climbing.ipynb |
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# !pip install mxnet-cu101
# !pip install gluonnlp pan... | scripts/NSMC/naver_review_classifications_pytorch_kobert.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W1D2_LinearDeepLearning/W1D2_Tutorial2.ipynb |
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/ + cell_id="00000-fda1f226-c8bc-4c39-a67f-fded5c44dd0b" deepnote_app_coordinates={"h": 5, "w": 12, "x": 0, "y": 0} deepnote_cell_type="code" d... | TMLCC-Chem bot.ipynb |
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# # Descriptive
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import pandas as pd
import nump... | stats_method.ipynb |
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import pandas as pd
from sqlalchemy import create_engi... | 3. Load data.ipynb |
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# # Principi AI
#
# L'intelligenza artificiale dalla s... | 3.machine learning/1-Principi_AI.ipynb |
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import featuretools as ft
from featuretool... | predict-malicious-cyber-connections/Create Feature Matrices from LL Cyber Data.ipynb |
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## creo dos variables que empiezan en 0, los dias ... | 01-intro-101/python/practices/01-snail-and-well/your-solution-here/Practica_01_snail_and_well_Raquel.ipynb |
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import glob
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# ## Covid Project
#
# In this data science pr... | 2021-10-04-Corona-V6.ipynb |
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# %matplotlib inline
# %load_ext autoreload
# %aut... | jupyter-notebooks/Random forest pipeline analysis.ipynb |
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# + id="cAJ1JuabN2Tc" colab_type="code" colab={}
import pandas as pd
import n... | notebooks/COVID_JohnsHopkins.ipynb |
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# ## MNIST Training, Compilation and De... | sagemaker_neo_compilation_jobs/mxnet_mnist/mxnet_mnist_neo.ipynb |
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## Import all depend... | Mission_to_Mars.ipynb |
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# # Numpy Review
# # 1- Basic Introductio... | Tutorial/Jupyter/Numpy Review.ipynb |
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# # Regression Week 3: Assessing Fit (polynomial regre... | Studying Materials/Course 2 Regression/Assessing Performance/week-3-polynomial-regression-assignment-blank.ipynb |
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# # Gender Classification Using Names
#
# ### This pro... | ML_models_Flask/Kanchi_Tank/data/Gender-Classification.ipynb |
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import numpy as np
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#definiciòn de matriz de coefi... | algebra_lineal/sln_ecuaciones/gauss_solver.ipynb |
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# + id="CZLeOG22FAqa"
# !python -m pip install konlpy
# + id="u4Tp2RA-FYVh"
... | NLP/seq2seq_preprocess.ipynb |
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# + [markdown] id="WzfdUE-RDKZe" colab_type="text"
# #Face Recognition using ... | face_recognition_.ipynb |
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import quandl
imp... | data_ingest_&_clean.ipynb |
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# # Notebook showing some very basic QA on main... | Sandbox/Main_explore.ipynb |
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# # [LEGALST-123] Lab 11: Math in Scipy
#
#
# This lab... | labs/11_Math in Scipy/11_Math_in_scipy_solutions.ipynb |
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# # Distributions
# + [markdown] tags=["remove-cell"]... | soln/chap03.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | .ipynb_checkpoints/step_verification-checkpoint.ipynb |
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import numpy as np
import os
import m... | Documents/PreTrainedAPI/usecase3 backup/Cat vs Dog-checkpoint.ipynb |
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import tensorflow as tf
import numpy as np
import time... | classification-comparison/Deep-learning/rnn-vector-hinge.ipynb |
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import pandas as pd
import re
import os
import json
im... | parser/silkroad2/silkroad_additional.ipynb |
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# 1、线图效果（关系图改造）
# ======
# +
import tushare as ts
imp... | sample_code/echartsDemo.ipynb |
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# ## Introduction
# -----
# You (an electrical enginee... | Notebooks/C2M1L1.ipynb |
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# ## Collections Module
# Counter
from collections i... | 15-modules.ipynb |
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# python version : 3.x
import tensorflow as tf
# ... | MachineLearning/placeholder_variable.ipynb |
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# # Ray Concepts - Data Parallelism (Part 1)
#
# Now l... | ray-core/02-DataParallelism-Part1.ipynb |