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# **Chapter 7 – Ensemble Learning and Random Forests**... | 07_ensemble_learning_and_random_forests.ipynb |
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using BenchmarkTools
# Create example array
S... | 0017/type instability of mapslice.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | TensorFlow/Intro.ipynb |
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# + [markdown] id="sZv_... | notebooks/CNN_Balanced_data.ipynb |
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import numpy as np
import pandas as pd
import mat... | 03_sequential_models.ipynb |
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# <a href="https://colab... | Book_1/ch02/Chapter_2.ipynb |
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import scda
import os
import shutil
import numpy a... | old_notebooks/scda_LDZ_test.ipynb |
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import pandas as pd
import numpy as np
import sklear... | model/anomaly-detection-notebooks/anomaly_detection.ipynb |
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import pandas as pd
df=pd.read_excel("marketing_data.... | exam (2).ipynb |
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# <a id="introduction"></a>
# # Ciencia de Datos ... | webinars/rapids_intro/02_Introduccion_a_cuDF_para_pandas.ipynb |
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# # Load data, train model
import sage
import numpy a... | notebooks/bank.ipynb |
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# + [markdown] colab_type="text" id="4f3CKqFUqL2-" slideshow={"slide_type": "... | ml/cc/exercises/estimators/first_steps_with_tensor_flow.ipynb |
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# # Network Creation
# +
# %load_ext autoreload
# %au... | createNetwork.ipynb |
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import numpy as np
# %matplotlib inline
import matplot... | FilmChannel/FastRun.ipynb |
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# + pycharm={"name": "#%%\n", "is_executing": false}
... | code/notebook/test_dev.ipynb |
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# # Variational Autoencoders
#
# ## Introduction
#
# T... | tutorial/source/vae.ipynb |
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# # San Francisco Rental Prices Dashboard
# __________... | Dashboard.ipynb |
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# # This is the Jupyter Notebook for the MAGICODE proj... | Notebook.ipynb |
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# # NumPy: Numerical Arrays for Python
# **Learning O... | days/day05/Numpy.ipynb |
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# # 1. Machine Learning
#
# ## Qué es Machine Learning... | 9ML/.ipynb_checkpoints/1_IntroML-checkpoint.ipynb |
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# # Combining Datasets: Merge and Join
# ... | day3/07. pandas - Merge-and-Join.ipynb |
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import tensorflow as tf
import tensorflow_probabil... | notebooks/coding/REC Coding.ipynb |
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# + id="9_4mVKJel0VU" colab_type="code" colab={"base_uri": "https://localhost... | PyTorch_RandomErasing.ipynb |
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# # Week 04, Assignment 03: Methods II
# # Namespaces
... | python/Assignment_One/Assignment 1.5.3_Methods_2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | C3/W3/ungraded_labs/C3_W3_Lab_1_single_layer_LSTM.ipynb |
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# <span style="font-family: Arial; font-weight:bold;fo... | 01 Fundementals of AIML/Week 3 - Data Visualization and EDA/EDA-CaseStudy_and_PandasProfiling.ipynb |
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# # O... | 7/prednaska/Generator.ipynb |
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import pandas as pd
# +
# read base zoning input file... | policies/plu/final_mix_zoning.ipynb |
# https://eli5.readthedocs.io/en/latest/_modules/eli5/sklearn/explain_weights.html
# https://eli5.readthedocs.io/en/latest/tutorials/xgboost-titanic.html#explaining-predictions
#
# Also take a look at https://eli5.readthedocs.io/en/latest/blackbox/permutation_importance.html.
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import os
import random
import numpy a... | notebooks/05_ExplainableClassification.ipynb |
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import pandas as pd
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... | pokehackathon-kedro/notebooks/Preprocessing_to_master.ipynb |
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# # RNN for Character Level... | doc/en/docs/notebook/rnn.ipynb |
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/ + [markdown] azdata_cell_guid="c294bc50-61c1-45c4-a00c-97fffa09c7... | DB-CSC371/class6.ipynb |
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# $$\newcommand{\ket}[1]{\left|{#1}\right\rangle}$$
# ... | kv_laskuharjoitukset/kierros4/.ipynb_checkpoints/tehtavat_kierros4_v2-checkpoint.ipynb |
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# # Lab 12. Data Analysis In Python
# ## l... | lab12.ipynb |
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import tensorflow as tf
import numpy as np
import cv2
import matplotlib.p... | GNR Submission/Codes/Arcface_Face_Verification.ipynb |
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# # Section 4: Hands-On Data Analysis Lab
#
# We will ... | asynchronous_lab/asynchronous_lab.ipynb |
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from sklearn import datasets
diabetes = datasets.lo... | Assignment 2 linear regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | petroweek_notebooks/petroweek2020_unit1.ipynb |
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# # [File I/O](https://docs.python.org/3/tutorial/inpu... | experimental/notebook-workspace/examples/jupyter/fileio.ipynb |
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# ## Figures for 'A review of Bayesian perspectives on sample size deriv... | sample-size-calculation-under-uncertainty.ipynb |
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# + nbpresent={"id": "d3ec1b0f-bf7a-4d20-b1c7-... | .ipynb_checkpoints/05 Summarizing the Monte Carlo output-checkpoint.ipynb |
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from pyspark import SparkContext
from pyspark.sql ... | Viagens Csv.ipynb |
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# # Testing Foursight Checks
# * This notebook prov... | LocalTest.ipynb |
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# + [markdown] id="SB93Ge748VQs"
# ##### Copyright 2019 The TensorFlow Author... | site/zh-cn/tensorboard/migrate.ipynb |
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import requests
from bs4 import BeautifulSoup
# ### N... | crawling.ipynb |
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# + [markdown] colab_type="text" id="n6ecAvsmQp1I"
# ## To run this colab, pr... | community/en/flowers_tf_lite.ipynb |
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# create dummy matrix
n_plots ... | notebooks/tryout_methods.ipynb |
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# + [markdown] colab_type="text" id="YiUdpEJYUt2Z"
# # [Pr... | Problems/Text_Classification/2_Text_Classification_Hyperparameters.ipynb |
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srand(46);
# ベクトルについて
# ... | JuliaLearning/src/cookbook.ipynb |
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# + [markdown] id="m0hTjBtvgQ7-" colab_type="text"
# #... | 03_lightGBM_GPU.ipynb |
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# # Time Series Data Analysis of Selected Low-Cost Fun... | 41fred/MFData.ipynb |
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# ### LightGBM + ADSTuner: do the ensemble... | .ipynb_checkpoints/lightgbm-adstuner-casual-registered-ensemble-checkpoint.ipynb |
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# # A notebook to Plot results
# ### Seaborn
# The f... | notebooks/Plot Results.ipynb |
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// # Kmeans over... | applications/notebooks/stable/kmeans_satellite.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | pytorch_book_ian.ipynb |
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# + [markdown] id="peQDo0VaZbGn"
# # Clase 10: Introducción a ML
#
# - ¿Qué e... | clase_10.ipynb |
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# # TensorFlow 튜토리얼 #17
# # Estimator API
#
# 원저자 [<NA... | 17_Estimator_API.ipynb |
# -*- coding: utf-8 -*-
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# # EEP/IAS 118 - Introductory Applied Econometr... | Spring2021-J/Problem-Sets/ProblemSet1/ProblemSet1_2021.ipynb |
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# + [markdown] colab_ty... | Cosine_Similarity_Case_Study/Cosine_Similarity_Case_Study.ipynb |
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# Step #0: Import libraries
import pandas as pd
impor... | SVM 2- Bank Customer Retirement Predictions.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Y4flqGKuVzRE" outputId=... | Data_Science/Doc_oclock_model.ipynb |
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# # The transport-length hillslope diffuser
# # The b... | nb/transport_length_hillslope_diffuser.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pavee/qlearning_sample.ipynb |
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# # Assumptions
#
# - Population counts are taken at w... | data_processing/convert_demography_to_birth_year.ipynb |
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import pandas as pd
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import time
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import matplotlib.pyplo... | GAN/GAN/basicgan.ipynb |
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import numpy as np
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from importer_s... | .ipynb_checkpoints/CV Week 4 Offsetting and iR correction-checkpoint.ipynb |
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# <div class="alert alert-block a... | Notebook/Section 5 - RNN and NLP - Car Example v3b.ipynb |
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# +
# imports
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# GPU CHECK
# cuda ve... | Code/project code from discovery cluster/.ipynb_checkpoints/GPU -checkpoint.ipynb |
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# # Find Errors
# *Learned Skills: basic pyth... | module0/1_python_basics/python_basics_2.ipynb |
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# Example 7 - Hydrodinamic Bearings
# =====
# In this ... | docs/examples/example_05_09_06.ipynb |
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# ### Principal Component Analysis
# #### Introduction... | PCA_HebbianLearning_SimpleExample.ipynb |
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# # How to visualize your schema with biothings_schema... | jupyter notebooks/Visualizing Schema.ipynb |
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import pan... | notebooks/candidate_prod_model_20171204.ipynb |
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# # Thinkful Data Science Fundamentals: Capstone Dat... | thinkful/data_science/my_progress/intro_data_science_fundamentals/unit_4_capstone/Analysis_of_Recent_Pipeline_Accidents_-_Final_Draft.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | naiveBayesClassifier/naiveBayes.ipynb |
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#
# # Name: <NAME>
# # E-mail: <EMAIL>
# # Linear Regr... | code/ML_BikeSharingDemand_LR_Kaggle.ipynb |
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print("hello")
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import os, shutil
# ## Data preprocessing
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im... | notebook/pytorch/data_loading.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Q... | demo.ipynb |
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# # PAMAP 2 Model 1: Artificial Neural Network
# #### ... | DigitalBiomarkers-HumanActivityRecognition/10_code/50_deep_learning/53_tensorflow_models/53_tensorFlow_PAMAP2/.ipynb_checkpoints/TF_CNN-PAMAP-checkpoint.ipynb |
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# <center><img src="./images/logo_fmkn.png... | 2021-fall-part-1/seminars/12_bayes/12_bayes_practice.ipynb |
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# # Plotting uncertainty
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# + [markdown] id="I08sFJYCxR0Z"
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import cobra
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import geohunter as gh
import pandas as pd
import ... | examples/paper_experiment.ipynb |
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# # Talktorial 3
#
# # Molecular filtering... | talktorials/3_substructure_filtering/T3_substructure_filtering.ipynb |
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from IPython.core.display import HTML
HTML('<style> .c... | Census Income Prediction.ipynb |
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# # Leer y almacenar datos usando *Pandas*
#
# Lo que ... | Leer_guardar.ipynb |
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# %matplotlib inline
df1 = pd.rea... | .ipynb_checkpoints/order_flow_prediction-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/2019_12_05_json_to_csv.ipynb |
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# %% [markdown]... | doc/source/notebooks/advanced/gps_for_big_data.ipynb |
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# # Summarizing Data in a Stream
#
# __Requirement__: ... | gs-spark/gs-spark-python/notebooks/22/Streaming-UpdateStateByKey.ipynb |
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# ### 安装git
#下载
wget https://www.kernel.org/pub/softw... | notebooks/Untitled.ipynb |