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import panda... | Python/Credit_Card_Fraud_detection/Credit_Card_Fraud_Detection.ipynb |
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# # 14 - Difference-in-Difference
#
# ## Three Billboa... | causal-inference-for-the-brave-and-true/14-Difference-in-Difference.ipynb |
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# # Implementation of Quick Sort
#
# A quick sort firs... | code/algorithms/course_udemy_1/Sorting and Searching/Implementation of Quick Sort.ipynb |
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# # Shrek the Third DataFrame
# Recall from the [Analy... | code/DreamWorks_code/Shrek3_DataFrame.ipynb |
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# # Chapter 3 All about tensors
# > A summa... | _notebooks/2021-09-07-chapter3-tensors.ipynb |
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# + [markdown] section="__no_section__"
# # Import sec... | resources/example2.ipynb |
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# # Estimating the biomass of marine protists
# Our es... | protists/marine_protists/marine_protists.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Burglary.ipynb |
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# name: python391jvsc74a57bd06e942df4d85f9e057d39df3ee298da624173670... | art of data/topics/inference/archive/significance_test.ipynb |
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import glob
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import tensorflow as tf... | notebooks/multrigger-word-modeling.ipynb |
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import numpy as np
import tensorflow as... | 02_cnn_cifar10/02_cnn_cifar10.ipynb |
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# %matplotlib inline
from pyvista import set_plot_them... | examples/01-filter/extract-edges.ipynb |
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# -... | 4. Natural Language Processing with Attention Models/Week 2 Summarization with Transformer Models/Assignment 2 Transformer Summarizer.ipynb |
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# # Planar Point Patterns in PySAL
#
# **Author: <NAME... | notebooks/pointpattern.ipynb |
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import numpy as np
import matplotlib.pyplo... | IntroDataScience/streaming/02_regresion_lineal/regresion_lineal.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Oanda_RelativeStrength_EG.ipynb |
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from IPyt... | keras_model_mfcc/1. Initial classifiers for 30 epochs.ipynb |
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import numpy as np
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# %load_ext autoreload
# %autoreload 2
im... | docs/contents/user/topology/get_sequence_alignment.ipynb |
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# Example with magics
# ==========
# The usual matplo... | tests/sphinx_supp_py2/raw_examples/example_magics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + id="BqkGR-LB_-Bf"
import pandas as pd
import numpy... | notebooks/01-replication/02-ice-plot-from-scratch.ipynb |
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# # Exercises: HPC
# ### ... | exercises/07_Exercises-performance.ipynb |
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def testing_adjacent_elements(current_list, prev_list,... | .ipynb_checkpoints/RandomPlots-checkpoint.ipynb |
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# # KMeans 算法探究
#
# 聚类算法是一种非监督算法，当你拥有大量的无标签数据的时候，最方便的做... | DataModeling/K-means/kmeans.ipynb |
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# + id="q0UKXn5mqg2v" colab_type="code" colab={"base_uri": "https://localhost... | Day3_Simple_Model.ipynb |
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# Programming languages are much simpler than human la... | notebooks/02/Expressions.ipynb |
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# ## Single Subject viewer: version v1.3, April 21 - M... | 3D_viewer_v1.3_fistulogram_binary_single_subject_analyze_published.ipynb |
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# # Introduzione alla programmazione Python by <NAME... | .ipynb_checkpoints/Introduzione a python-checkpoint.ipynb |
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import matplotlib.pyplot as pl... | EDA #3.ipynb |
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# # Data Analysis and Machine Learning App... | notebooks/Clustering.ipynb |
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# # Preparación de datasets
#
# En este pequeño script... | python/ejercicios/houses/build_datasets.ipynb |
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# ! wget -N http://archive.ics.uci.edu/ml/machine-lear... | ml/lab.ipynb |
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# + deletable=true editable=true
import re
import ker... | notebooks/Hack - Cascade 1D.ipynb |
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# # Policy Gradient
#
#
# ## Learning Policies Directly
#
# ### Constraints ... | 12_Policy-Gradient.ipynb |
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# # Exclusion
#
#
# %load_ext autoreload
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | python/hail/docs/tutorials/09-matrixtable.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Linear_Regression_from_scratch.ipynb |
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# # Sentiment Analysis - CP322
# ## <NAME>... | Project_helpme.ipynb |
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# ### Preparing the Dataset
# #### Importing the li... | notebooks/pca-features.ipynb |
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# %autoreload 2
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import numpy as np
import pandas as pd
import os
i... | Examples/Creator_example.ipynb |
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# ## Demonstration of optimization of GTM hyperparamet... | Python/demo_opt_gtm_with_k3nerror.ipynb |
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# # 基于 GraphSage 的无监督学习
#
#
# GraphScope提供了处理学习任务的功能。本... | tutorials/zh/6_unsupervised_learning_with_graphsage.ipynb |
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# + tags=["hide-input"]
import matplotlib.pyplot as pl... | posts/2018/2018-06-04-makeitpop.ipynb |
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import pandas as pd
company_df = pd.read_csv("ful... | Section 3 Code/.ipynb_checkpoints/Applying mathematical operations 3-checkpoint.ipynb |
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# # Merging East River Tree Stem Geolocation Points
# ... | Forest_Inventory_Dataset/Tree_Geolocations/00_EastRiver_Merge_Tree_GPSPoints.ipynb |
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import matplotl... | 2018_05_26_Integral_review.ipynb |
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// <p><font size... | notebooks/ingest_clickstream_events.ipynb |
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# + [markdown] nbpresent={"id": "782a07bf-0... | xgboost/MushroomClassification/mushroom_xgboost_localmode.ipynb |
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# # Document Embedding with Amazon SageMake... | introduction_to_applying_machine_learning/object2vec_document_embedding/object2vec_document_embedding.ipynb |
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# # Gradient descent algorithm for Scenario 2
#
#
# In... | scratch work/Yuqing-Data-Merge/.ipynb_checkpoints/Scenario2-v9-checkpoint.ipynb |
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# # Data on spread of salary
# ![... | src/cleaning_salary_distribution_data.ipynb |
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#slicing
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# ! pip install -e "d:/code/sdk-cli-v2/src/azure-ml"
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# # TFF/Anthos Hello World
#
# Before running the note... | notebooks/hello-world.ipynb |
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# Define data directories
# # %cd C:\Users\Natall... | prepare_data.ipynb |
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# + [markdown] colab_type="text"
# # MixUp augmentatio... | examples/vision/ipynb/mixup.ipynb |
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# # International CO2 Emissiions
# # By Utplaksh... | International CO2 Emissions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import math
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# now the first step in preprocessing,
# in order to... | TrainModel.ipynb |
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# ## map2loop: The Northern Territory
#
# <img src='..... | notebooks/4. NT leaflet example.ipynb |
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# # Welcome to my first Binder
# This notebook is my ... | index.ipynb |
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# + [markdown] id="Y9eJv789s5EL"
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# #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Nov-15-20 13:58
# @Author : <NAME> (<EMAIL>)
# @Link : http://example.or... | feature.ipynb |
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# # OpenCV Overlay: Filter2D and Dilate
# <img src="a... | boards/ZCU104/notebooks/2__Overlays-filter2d_and_dilate.ipynb |
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# # Embeddings model
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# ps use conda Kernel = (emb... | Embeddings_to_process_features/facenet_embeddings_model.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | Gardenkiak/Programazioa/for sententzia.ipynb |
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# # Regularized logistic regression
# +
import pandas... | hw2/logreg/logreg_reg.ipynb |
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from google.cloud import bigquery
from google.cloud.ex... | readmissions/notebooks/sandbox.ipynb |
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# _You are currently looking at **version 1.3*... | Michigan_AppliedDataScienceWithPython/AppliedMachineLearning/Assignment+1.ipynb |
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import tensorflow as tf
import tensorflow_hub as hub
f... | notebooks/UCF101Estimator.ipynb |
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# + [markdown] papermill={"duration": 0.033613, "end_t... | music-classifier.ipynb |
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from datetime import datetime, date
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im... | graphs/Graph.ipynb |
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# + [markdown] id="A5Aig8imNspl"
# # S2orc (exploration, ... | notebooks/99. Journal Analysis project - Francesco.ipynb |
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# + _cell_guid="47c31b0b-53a9-ee29-2e3f-ab39e6cc2d0e"
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clean_up=True # removes gams-related files in work-fol... | examples/Abatement/A2.ipynb |
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# # Python Data Visualization Project
# ## Importin... | 07_Data_Visualization_with_Python/Final Assignment/Data Visualization Python.ipynb |
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# ### N-gram language models or how to write scientifi... | week03_lm/seminar.ipynb |
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# # 22 - Model Deployment
#
# by [<NAME>](albahnsen.co... | notebooks/22-ModelDeployment.ipynb |
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#import module
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# + [markdown] tags=[]
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#SKIP_COMPARE_OUTPUT
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# + id="VK4LSq3HhSGG" colab_type="code" outputId="8fd08a4e-7716-4bbd-9ccd-42b... | RESNET.ipynb |
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import astropy.coordinates ... | apogee-jhelum/notebooks/Aidan-Ally-orbit.ipynb |
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# #!python -m pip install --upgrade pip
# -
#show... | Projects/churn project.ipynb |
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# # Clustering Algorithmen
# In diesem Notebook wird ... | solutions/7_Clustering-Solution.ipynb |
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# # Training Neural Networks
#
# The network we built ... | Part 3 - Training Neural Networks.ipynb |