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# ## Change detector in gas hydrates
#
# Set up... | scratchpad/gas_hydrates_beamtime/change_detector.ipynb |
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# + id="eyOw4mAuxpaB" executionInfo={"status": "ok", "timestamp": 16409990796... | solution_notebooks/Finding a Shared Motif.ipynb |
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# <img src="../images/dask_horizontal.svg" align="righ... | notebooks/08-dask-delayed.ipynb |
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# <a href="https://colab... | MeanSquareError.ipynb |
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# # Week 3
#
# I hope you're getting the hang of thing... | lectures/Week3.ipynb |
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# # Ice - Albedo Feedback and runaway glaciation
# He... | courseware/Snowball Earth in the EBM.ipynb |
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# ## This notebook prepares several datasets for testi... | notebooks/Data Setup/pandas n-D integers Data Setup.ipynb |
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i... | fine_tune/notebooks/LCQMC/EDA.ipynb |
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# # MP1: CS 498 DSG (Spring 2020)
# ##### <NAME>
#
# ... | AV_DataAnalysis.ipynb |
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# # Use the Shirt Class
#
# You've seen what a class looks like a... | lessons/ObjectOrientedProgramming/JupyterNotebooks/1.OOP_syntax_shirt_practice/shirt_exercise.ipynb |
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# # Fitting PAT measurements
# Authors: <NAME>, <NAME... | docs/notebooks/analysis/example_PAT_fitting.ipynb |
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# # Training evaluation
# %load_ext autoreload
# %aut... | XAVI - 6 - Training evaluation.ipynb |
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# **Chapter 10 – Introduction to Artificial Neural Net... | 10_introduction_to_artificial_neural_networks.ipynb |
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# + [markdown] button=false new_sheet=false run_cont... | Classification_Loan-defaulter.ipynb |
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# %load_ext autoreload
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... | notebooks/logit_predictor_example.ipynb |
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# # Visualizing Image Data
#
# This notebook will demo... | work/notebooks/WWT-VisualizingImagery.ipynb |
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(* name: ioc... | Produits_defectueux/Produits_defectueux_OCaml_sujet.ipynb |
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# ### Trade Demo
#
# #### Goal:
# - Load ... | notebooks/Experimental/Ishan/ADP Demo/Data Owner - Canada.ipynb |
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# + id="ZpU8UlEisTZt"
# !pip install autokeras -q
# ... | 8.1-Handling-large-scale-datasets.ipynb |
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from IPython.core.display import HTML
with open('../st... | Python/Exercises/Blatt-09-Gruppenloesung.ipynb |
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fro... | notebooks/Experimental/Ishan/ADP Demo/Debugging/Debug_Publish.ipynb |
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# # Phase Estimation
#
# The **"Phas... | PhaseEstimation/PhaseEstimation.ipynb |
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# + [markdown] id="MhoQ0WE77laV"
# ##### Copyright 2019 The TensorFlow Author... | site/tr/r1/tutorials/distribute/training_loops.ipynb |
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# # A Quick Introduction to Data Analysis ... | introduction-to-pandas-theory.ipynb |
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# + id="GIaCGX4o2QHD"
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# # Spectral Vertex Nomination
#
# This demo shows how... | docs/tutorials/vertex_nomination/SpectralVertexNomination.ipynb |
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# # Introduction to Qiskit
# Welcome to the Quantum Ch... | IBMquantumchallenge2020/Challenge1_BasicQuantumCircuits.ipynb |
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# import libraries
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# # Additional training functions
# [`train`](/train.... | docs_src/train.ipynb |
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imp... | .ipynb_checkpoints/SO_survey CRISP-DM-Copy1-checkpoint.ipynb |
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# + [markdown] tags=["header"]
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... | notebookToHtml/biosignalsnotebooks_html/Categories/Record/sampling_rate_and_aliasing.ipynb |
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# + dc={"key": "4"} deletable=false editab... | Exploring the Bitcoin Cryptocurrency- Market -codecademy/notebook.ipynb |
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# This notebook shows a sample workflow for running hydrology simulations using the GSSHA rectangularly gridded simulator, supported by a suit... | examples/topics/GSSHA_Workflow.ipynb |
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# _You are currently looking at **version 1.2*... | Assignment+2.ipynb |
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# # 521153S, Deep Learning Final Project: Mini Image c... | DeepLearning_project/Project-checkpoint.ipynb |
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'''
Load packages for working with data
'''
import... | Homework/Part 1/Homework_5/levon.khachatryan.ipynb |
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# # The Context Manager aka the Measurement Object
#
#... | docs/examples/DataSet/Dataset Context Manager.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="ZOma4jpKeYm6" outputId=... | Deep learning assignment/working_flowerclassification_28_with_Augmentation_L.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python/scientific/heatmap/heatmaps.ipynb |
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import numpy as np
import pandas as pd
from pandas_pro... | notebooks/Springboard Capstone 2 Data Wrangling 30 day download.ipynb |
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import pandas as pd
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from datetime i... | Modelagem/pre_analysis/pre_analise_au5_amostra.ipynb |
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infile = r'C:\Users\xavier.mouy\Documen... | tests/old_tests/aTest_Xarray2.ipynb |
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# !vw -h | head -n10
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sys.path.append(os.environ['GOTMW... | visualization/jupyter_notebook/plot_map_forcing_regime_all.ipynb |
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# # Webscraping 40k Hindi songs
# We'll be scraping h... | Scraping_giitaayan/Parallel Scraping/2/HindiWebscraping40k_Phase2.ipynb |
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# ### Entity Linking with spaCy
import rd... | notebooks/Entity_Linking.ipynb |
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# + [markdown] id="SRxqMakh3PRY" colab_type="text"
# Copyright 2019 Google LL... | NASBench.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Chapter 15: Off to analyzing text
# Way to go! Yo... | Chapters/Chapter 15 - Off to analyzing text.ipynb |
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# # Average Monthly Temperatures, 1970-2004
#
# **Date:** 2021-1... | jupyter/2_time_series/2_03_ljk_decompose_seasonal.ipynb |
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# # The Shared Library with GCC
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# When your program... | notebook/Unit8-2-GCC_DLL.ipynb |
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# ***The content below is a TensorFlow port of the tu... | NLP_with_TensorFlow/1_basics_(tutorial)/1-2_word embedding - encoding lexical semantics.ipynb |
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# # Projeto II - SCC0250
# ## <NAME> - 10724239
# ## <... | projeto cg/projeto.ipynb |
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### A1 ###
import numpy as np
import matplotlib.p... | 00/MarioGaimann_getting_started.ipynb |
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# # <a id="top"></a>Intersecting model grids with shap... | examples/Notebooks/flopy3_grid_intersection_demo.ipynb |
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import csv
import json
import os
import pandas as pd
som... | documentation/src/generate_dataset_from_somef_json.ipynb |
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# # NUMPY
#
# Numpy is an important python library whi... | algorithms/ml/numpy/Numpy operations.ipynb |
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# + [markdown] id="R8C06s763Mie"
# <div align="center">
# <h1><img width="30"... | notebooks/09_Data_Quality.ipynb |
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import matplotlib.pyplot as plt
import sklearn.dat... | examples/Example-MAF.ipynb |
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import sys
sys.path.append ('./ model / model')
sys... | Serving.ipynb |
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# ## Calculating the Risk of a Security
# *Suggested ... | 23 - Python for Finance/3_Measuring Investment Risk/2_Calculating a Security's Risk in Python (5:55)/Calculating the Risk of a Security - Solution_CSV.ipynb |
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# # Introduction Basic statistics in R
#
# Here, we will work with rand... | E_Biostatistics/Playground/Basic statistics.ipynb |
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from PIL import Image, ImageFont, ImageDraw,ImageE... | stitching.ipynb |
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# # A2C (train)
# [Deep Reinforcement Learning with Po... | 2018-2019/assignment 9 (A2C)/A2C_train.ipynb |
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# # Table Visualization
#
# This section d... | doc/source/user_guide/style.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | machine-learning-notebooks/.ipynb_checkpoints/02-mobilenet-transfer-learning-Mod-checkpoint.ipynb |
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# ## Observations and Insights
# - The genders of th... | pymaceuticals_starter.ipynb |
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# # Prior distributions
#
# One important aspect of Ba... | docs/source/tutorials/priordistributions.ipynb |
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# layout : jupyter
# title : datetime object 관련
# category : Code Snippet
# tags : python
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# # Dataset of CAT usage across time
#
# The phab task... | CAT-usage-historic.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | projects/theory/RNN_working_memory.ipynb |
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# ## Configurations for Colab
# +
import sys
IN_COLAB... | 07.n_step_learning.ipynb |
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import numpy as np
import pandas as pd
import matp... | 01_Isolation Forest.ipynb |
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# # Music Machine Learning - Probability basics
#
# ##... | 04a_probabilities.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # NumPy
# +
import numpy as np
#Creamos un np arra... | NumPy.ipynb |
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# + [markdown] raw_mimetype="text/latex"
# (c) <NAME> ... | solutions/SOL_04_lagrange_full.ipynb |
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var1 = 10
type(var1)
print(var1)
10+15... | lesson1.ipynb |
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# # Kepler Data
# ## The Data
# SIMBAD info: htt... | figures/Kepler.ipynb |
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# + [markdown] id="YpGFMiKfiTuk" colab_type="text"
# # PyTorch Metric Learnin... | examples/notebooks/Inference.ipynb |
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# # Example Notebook
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import math
import unittest
... | Example.ipynb |
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# # Making multipanel plots with matplotlib
#
# #### F... | test_multipanel.ipynb |
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# # Selección óptima de portafolios II
#
# <img style=... | Modulo3/Clase14_SeleccionOptimaPortII.ipynb |
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import numpy as np
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import matplotlib.p... | Basic ConvNet/Basic ConvNet Model.ipynb |
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# ### Import reui... | examples/Batch - Calcite-Gypsum Evaporation.ipynb |
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import os
os.environ['SPARK_HOME'] = '/home/envmo... | machine_learning/rf_and_logistic_notebook.ipynb |
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# %matplotlib inline
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# The... | notebooks/03-szymanskir-knn-model-feature-tweaking.ipynb |
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import pandas as pd
import numpy as np
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# ### Today concepts
# Applying Linear Regression algo... | Day-2/02_Day2_27Oct2020.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lecture07.ipynb |
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# # Introduction to keras
#
# > Keras is a high-level ... | 00-keras-intro-sequential-api.ipynb |
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x=[2,6]
y=[4,9]
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