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# # Test JLD2 compression
using Revise
using ... | simulation/compression_tests.ipynb |
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# # Inference and Validation
#
# Now that you have a t... | Part 5 - Inference and Validation.ipynb |
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##########################################... | einvoice/docs/jupyterlab/urn_hash_work.ipynb |
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# <a name="loesung02"></a>Solutions exercise 02
# ===
... | 02-solutions.ipynb |
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import os, sys
import pandas as pd
sys.path.append('.... | notebook/test_transformer.ipynb |
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# # Creating RESTful APIs using Flask and Python
# ##... | Creating RESTful APIs using Flask and Python.ipynb |
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# 随机森林
# --------------
# **集成学习**(ensemble learning)通... | ML/RandomForest/RandomForest.ipynb |
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# # Data Cleaning:
# - html.parser remover
# - stemmer
# ... | preprocesser/test.ipynb |
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#creating a list
marks=[1,2,3,4,5,6,7,8,9... | 23. List.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | hw-5.ipynb |
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import numpy as np
import pandas as pd
from skimage.f... | GradeAutofiller/DMv2/TRAINING/HOGNN_MODEL.ipynb |
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# # Project 3: Smart Beta Portfolio and Portfolio Opti... | project_3_smart_beta/project_3_starter.ipynb |
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# # FloPy
#
# ### Henry Saltwater Intrusion Problem
#
... | examples/Notebooks/flopy3_SEAWAT_henry_problem.ipynb |
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# # Machine Learning: Intermediate report
#
# + Your n... | assignment/(YourID)_report2.ipynb |
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# # Numerical plots
# ## distplot
# ## joinplot
# ## p... | Data visualization/Seaborn by KrishNaik.ipynb |
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import pandas as pd
import matplotlib.pyplo... | general.ipynb |
# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/furniture_moving.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | sagemaker-pipelines/tabular/lambda-step/sagemaker-pipelines-lambda-step.ipynb |
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# # Round Trip Tear Sheet Example
# When evaluating t... | pyfolio/examples/round_trip_tear_sheet_example.ipynb |
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# # AE outlier detection on CIFAR10
#
# ##... | examples/od_ae_cifar10.ipynb |
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# +
import ipyvolume as ipv
import numpy as np
from c... | T1/10_volumetric_modelling/wrench_clean.ipynb |
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import sys
sys.path.append("..")
impo... | CIFAR/CIFAR-notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DeepDream.ipynb |
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# # Loading packages
import numpy as np
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# + [markdown] id="Nd2OOOVXxXS1" colab_type="text"
# This study guide should ... | Applied_Modeling_Study_Guide.ipynb |
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# # Семинар 5
#
# Исследуем зависимость положения разд... | week5_lin-class/sem05-svm-viz.ipynb |
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# Download and prepare the Credit Approval data set fr... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/MACHINE_LEARNING/PYTHON_FEATURE_ENGINEERING/Chapter03/00_CreditApprovalUCI_dataPrep.ipynb |
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# %matplotlib nbagg
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# # Identify Unknown images
# ## Setup the environmen... | faces/notebooks/unknown-labeling-trigger.ipynb |
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# # Training a ConvNet PyTorch
#
# In this notebook, y... | assignment2/Q5_PyTorch.ipynb |
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# ### 高斯核函数
import numpy as np
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from pymodulo.SpatialStratification import GridStratification
f... | example.ipynb |
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# # Funciones de utilidad y aversión al riesgo
#
# <im... | Modulo3/Clase11_FuncionesUtilidad.ipynb |
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import tensorflow as tf
import kapre
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# # LoRa Data Analysis - UCB vs. TS
#
# We first decl... | comparison/.ipynb_checkpoints/lora-ucb-vs-ts-checkpoint.ipynb |
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# # Overview
# - nb044ベース(cv:0.9385, sub:0.941)
# - lg... | nb/.ipynb_checkpoints/065_submission-checkpoint.ipynb |
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# + [markdown] id="xXKfRxJ0MuE_"
# #Using California Housing Problem
# + id=... | Hands-on-ML/Code/Chapter 10/Functional_API.ipynb |
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# # **4. Multi class clasisification for RockPaperScis... | 4. Multi class clasisification for RockPaperScissors.ipynb |
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# # Calibrating the Traffic
#
# After all ... | examples/Jupyter_Notebook/input_data_inspection/calibrating_the_traffic.ipynb |
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# # 9 Jan
import numpy as np
import pandas as pd
impo... | Titanic.ipynb |
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# # P... | 03-Preregistration.ipynb |
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# Enable importing of utilities
import sys
sys.pat... | notebooks/IGARSS/igarss_chad_03.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## 支持向量机... | part02-machine-learning/2_6_svm.ipynb |
# -*- coding: utf-8 -*-
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# # Introduction to Git and GitHub
# #... | learn-github/1-introduction.ipynb |
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import pandas as pd
import num... | experiments/job.curate_data/curate_ts_data.ipynb |
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import os
from google.cloud import storage
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# + [markdown] id="8mGJmHWihAuJ"
# lambda를 사용하면 아래와 같은 함수 정의를 간단하게 나타냄
# + c... | python_lambda.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # GANITE(Tensorflow): Train and Evaluation
# Thi... | notebooks/ganite_train_evaluation.ipynb |
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# # Activation Functions
import numpy as np
def sig... | .ipynb_checkpoints/0-activation_functions-checkpoint.ipynb |
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# # Prepare data
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import requests
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# ## Observations and Insights
#
# ## Dependencies a... | pymaceuticals_starter.ipynb |
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class Graph:
def __init__(self, nVertices):
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# 0. 학습 환경 설정하기
# 1... | season2/02.regression.ipynb |
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# # House price pred... | ai/1.5.Real_Estate/realEstate.ipynb |
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# # Comprehensions
#
# Comprehensions in Python provid... | code/10. Comprehensions.ipynb |
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// + dotnet_interactive={"language": "fs... | Notebooks/NB06c_Label_efficiency_BN.ipynb |
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# # <ins>Tutorial 2.1: Conditionals & Loops</ins>
# *A... | files/astr211_tut2-1.ipynb |
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'''Create a program that asks the user to enter th... | Daily/Practice Python.ipynb |
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f... | notebooks/visualize_model.ipynb |
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# ![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABA... | Python/.ipynb_checkpoints/03 Python OOP - dziedziczenie-checkpoint.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python-v3/3d/3d-axes/3d-axes.ipynb |
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# + id="KhLptlrdVwee" colab_type="code" outputId="83d0129c-1e1f-43cb-9dfb-685... | ResNet-50/ResNet_50_training.ipynb |
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# ### Importando bibliotecas
import panda... | modulo1.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Kjm9KflC4JPy" outputId=... | ECON3382datacleaning.ipynb |
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# <a href="https://colab... | coffee_tuning_blog用.ipynb |
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import os
import re
import pickle
import time
impo... | feature_set_categorical.ipynb |
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# Lesson 2 Assignment JNB -- Kaggle Galaxy Zoo
#
# 10 ... | FAI_old/lesson2/L2HW.ipynb |
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# ## <NAME>
# ### 16 Jan 2020
# ###... | PythonCode/one_torque_model/010_OneTorqueParallelSims.ipynb |
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# # Test Time Augmentation
# One of the most obvious pr... | 07_TTA.ipynb |
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# ## Part3: Create a class with an insert method to in... | Exam2Part3.ipynb |
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# # Naive Bayes
# Naive Bayes is one of the most famou... | Classification/NaiveBayes/NaiveBayes_HF.ipynb |
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# # Clustering Challenge
#
# Clustering is an *unsuper... | challenges/.ipynb_checkpoints/04 - Clustering Challenge-checkpoint.ipynb |
# %matplotlib inline
from fenics import *
parameters["plotting_backend"] = 'matplotlib'
import pylab
# +
from __future__ import print_function
# Use -02 optimization
parameters["form_compiler"]["cpp_optimize"] = True
# Define mesh and geometry
mesh = Mesh("dolfin-2.xml.gz")
x = SpatialCoordinate(mesh)
n = FacetNorm... | notebooks/03_static_nonlinear_pdes/apa/stokes_example.ipynb |
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# ## Point Data
#
# Here we are going to plot some mar... | CourseContent/Notebooks/Mapping/5 - Working with point data.ipynb |
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# # Demonstrate Aggregation of Descriptive Statistics
... | examples/aggregation_example.ipynb |
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import numpy as np
import pandas as pd
from pandas... | Python for Finance - Code Files/109 Monte Carlo - Euler Discretization - Part I/Online Financial Data (APIs)/Python 3 APIs/MC - Euler Discretization - Part I - Lecture_IEX.ipynb |
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import numpy as np
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# # Método CRISP-DM
# - Cross Industry Standard Process - Data Mining
# - Método cíclico para gerenciamento de projeto.
# - 1º Ciclo CRISP co... | Notebooks/0.0-Introducao.ipynb |
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# + [markdown] _uuid="06da34af0c189cb0c29beb679dfa202b... | 8 HOUSE PRICES/reach-top-10-with-simple-model-on-housing-prices.ipynb |
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# # Deploy Watson ML (PMML)
# Deploys a P... | component-library/deploy/deploy_wml_pmml.ipynb |
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# # Demo 1 - Solving a model file
# ... | docs/Gurobi/notebooks/Demo 1 - Solving a model file.ipynb |
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// TokenLibrary is invoked under the hood for obtaining AAD tok... | Notebooks/Scala/Obtain credentials using TokenLibrary.ipynb |
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# # Writing Containers to a tabular format
#
# The `Ta... | docs/examples/table_writer_reader.ipynb |
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import pickle
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