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# + [markdown] id="n6AwFwbXNebs" colab_type="text"
# #Data Loading
# + id="g... | MP_neuronAndPerceptron.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | soccer-line-detection.ipynb |
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# <p>
# <img src="http://www.cerm.unifi.it/chianti/ima... | notebooks/pascal-array-doubly-indexed-unfolding.ipynb |
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import re
from bs4 import BeautifulSoup
import pandas ... | scripts/extractor/extract_from_html.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | FinalExam.ipynb |
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library(knitr)
library(tidyr)
library(purrr)
library(dplyr)
library(... | src/load-telemetry.ipynb |
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# # Enron EDA
# ## 1. Loading the dataset
import num... | eda.ipynb |
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def is_palindrome(s):
""" (str) -> bool
Retur... | Python/Class Demos/.ipynb_checkpoints/Python Doctest Example-checkpoint.ipynb |
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# + jupyter={"source_hidden": true}
# %load_ext autore... | examples/action_tests.ipynb |
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# This file produces a useful table for us to match co... | Step 3 - FIDE Country Codes/Country Scripts/FIDE country codes.ipynb |
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# + [markdown] id="bIAYbYajk1w9" colab_type="text"
# <div class="alert alert-... | PyTorch Exercise/Deep Learning with PyTorch/DL-with-pytorch - 9 [RNN].ipynb |
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# # Functions
#
# A [function](https://doc... | Python/1. Python Basics/Notebooks/1. The Basics.- Startups/1.0 Fundamentals Continued/1.4a Functions in Python.ipynb |
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import pandas as pd
import numpy as np
from graph... | sparks/graphframe/degree_center_spark.ipynb |
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# + [markdown] id="f489ad4d-001" colab_type="text"
# #1. Install Dependencies... | colabs/dv3po_custom_signals.ipynb |
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# # The Bermuda Triangle
# ## ipywidgets
#
# Here are... | complex-numbers/bermuda.ipynb |
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"""
The MIT License (MIT)
Copyright (c) 2021 NVIDIA
Pe... | stand_alone/aFe2_2level_learning_mnist_minibatch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_LS_DS_133_Introduction_to_Bayesian_Inference_Assignment.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | c3/signal_processor.ipynb |
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# <h3 align=center>Function</h3>
# complet... | 3.3_notebook_quizz_functions.ipynb |
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# + [markdown] id="beObUOFyuRjT"
# ##### Copyright 2021 The TF-Agents Authors... | site/en-snapshot/agents/tutorials/5_replay_buffers_tutorial.ipynb |
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# + [markdown] nbsphinx="hidden"
# # Realization of Re... | recursive_filters/cascaded_structures.ipynb |
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import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packa... | tensorflow/23.pyspark-kafka/notebooks/tensorflow-streaming.ipynb |
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# # Example to use *pandas_datareader* and `to_excel()... | src/docker/docker-jupyter-sql/notebook/datareader_to_excel.ipynb |
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# # Prueba de uso de Jupyter con R
# $\displaystyle \int_a^bf(x)dx$
op... | R/clases/1_introduccion/prueba_jupyterlab_python_R.ipynb |
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# ## DataFrames For DataScientists
# 1. SparkContext()... | extras/003-DataFrame-For-DS.ipynb |
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import pandas as pd
import numpy as np
import sqli... | data/Forecast/.ipynb_checkpoints/Impute Data 11.22.19-checkpoint.ipynb |
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file = open("data/swidish_auto_insturance/AutoInsurSwe... | Mini Projects/swidish_auto_insturance.ipynb |
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##Importing most of the libraries we have used in ... | AB_NYC_Price_Prediction.ipynb |
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# # Linearizing with Taylor Series
#
# Taylor series r... | Supporting_Notebooks/Linearizing-with-Taylor-Series.ipynb |
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from statsmodels.graphics.tsaplots import plot_acf... | projects/Programing/python/jupyter/Untitled2.ipynb |
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# hash: 1b78ff499ec469310b6a6795c4effbbf... | Code/Day 1_Data_Preprocessing.ipynb |
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@show VERSION
using Symbolics
@variables a b ... | 0020/Symbolics.jl example.ipynb |
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# ## Train BERT WordPiece Tokenizer (from scratch)
# ... | dna_bert/train_bert_wordpiece_tokenizer.ipynb |
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# <figure>
# <IMG SRC="https://raw.githubuse... | raw/exploratory_computing_with_python/notebook3_for_and_if/py_exploratory_comp_3.ipynb |
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# + cell_id="00000-8fa71168-b686-40c3-96e4... | materials/simulation/society.ipynb |
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#import libraries
import qrcode
impor... | PythonQRCode.ipynb |
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import sys
## find 'core' package
sys.path.insert... | notebooks/tables/generate_columnar_dataset_poc.ipynb |
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# %matplotlib inline
#
# # Plotting Geodesic Distance... | example-notebooks/surface_analyses/plot_geodesic_distance.ipynb |
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import pandas as pd
import numpy as np
import json... | classif_texts_ML.ipynb |
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import numpy as np
import cvxpy
import scipy
import sc... | notebooks/scs_benchmarks.ipynb |
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# # A Guid... | ex_mult_pool.ipynb |
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# # Particle-Field interaction example
#
# This notebo... | parcels/examples/tutorial_particle_field_interaction.ipynb |
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# # Audio Decoder in DALI
#
# This tutorial presents, ... | docs/examples/audio_processing/audio_decoder.ipynb |
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import numpy as np
import scipy.special
import pandas ... | individual_translation/.ipynb_checkpoints/jacqueline_translate_oneside-checkpoint.ipynb |
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# ## Machine Learning with Additive Manufacturing
#
# ... | Additive_Manufacturing.ipynb |
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# %pylab inline
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# A very simple test of the fast.ai v1.0 library with ... | Titanic_fastai.ipynb |
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# In the [previous lesson](https://www.kaggle.com/pras... | Chapter02/are-you-being-sarcastic-sarcasm-detection-nlp.ipynb |
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# # Patterns with prime number location in spiral of i... | development_notebooks/prime_spiral_2_png.ipynb |
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from pyspark.ml.evaluation import BinaryClassificationEva... | files/exercises/mushroom_classification_RF_CV.ipynb |
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import pandas as pd
import datetime
import numpy... | notebooks/process_weprog_submission.ipynb |
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# # Export JSON models to pickle for speed
# +
import... | FBA_tutorials/models/Recon3D_301/Export_json_models_to_pickle.ipynb |
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# # Locus selection
# When inspecting the results of t... | docs/.ipynb_checkpoints/locus_selection-checkpoint.ipynb |
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import requests
import pandas as pd
from bs4 import Be... | Web_Scraping/Scraping classifieds_06.04.2019_inclass.ipynb |
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# # Quantum Nearest Neighbour: distance based classifi... | artificial_intelligence/qnn_base.ipynb |
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# # Régression sans inversion
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# Ce notebook mesure l... | _doc/notebooks/ml/regression_no_inversion.ipynb |
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# # Getting the necessary data
# You just need to do ... | Chapter02/Working_with_BAM.ipynb |
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name = str(input("Name : "))
eng ... | Week - 6/Creating CSV File from Scratch/Creating CSV File from Scratch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Project Report
# ## Summary : <p> The project that... | Udemy_Course_Recommendation_Dave.ipynb |
# -*- coding: utf-8 -*-
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# # Optimization
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# **Prerequi... | code_notebooks/1.1-quantecon/scientific/optimization.ipynb |
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# ## (2.5) SVM und das XOR-Problem <span style="color:... | 2_7_support_vector_machines/2_5_Aufgabe - SVM - Solution.ipynb |
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# # Terdapat 2 dasar tipe sistem rekomenda... | Python/Project/Project Machine Learning with Python = Building Recommender System.ipynb |
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# + [markdown] id="QInJpfQdFZVV" colab_type="text"
# # Pandas - Data Aggregat... | notebooks/4.3 Pandas 4 - Data Aggregation.ipynb |
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# # Building a ME-model
# +
from __future__ import... | docs/building_a_model.ipynb |
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# # Title
#
# **Exercise: B.1 - MLP by Hand**
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# # De... | docs/lectures/lecture28/notebook/s7-exb1-challenge.ipynb |
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# %pylab
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# %load_... | data_mining/03List/K-Means.ipynb |
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# + [markdown] id="kS1Jp6FkhvIy" colab_type="text"
# [![Open In Colab](https:... | finance/finance.ipynb |
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# # Setup
# +
import requests
# !pip install musicbr... | Music.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | 02_neural_networks/2-lenet.ipynb |
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# datetime contains functions and classes for working ... | Python-Standard-Library/DateAndTimes/datetime.ipynb |
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import pandas as pd
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pypoll_file = os.p... | PyPoll/.ipynb_checkpoints/pypoll-checkpoint.ipynb |
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# # Array multinode
import numpy as np
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... | exercises/2.51.ipynb |
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import pandas as pd
import numpy as np
bc_data=pd.rea... | Machine Learning Experiment 4.ipynb |
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# I would suggest to just utilize the C headers once t... | old/bindingsGeneration/SafeMethods_Concept_parser.ipynb |
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# # 0.- Desciption:
#
# This notebook solves the sourc... | notebooks/Drafts/5-chromatic_aberration.ipynb |
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data = pd.read_csv('datatran2019.... | docs/pre.ipynb |
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comGuess = int(random.randint(0,100))
u... | random python .ipynb |
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# <img src="volume_test.png" width="700"/>
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# # NetCDF Zarr Sequential Recipe: NOAA OISST
#
# This... | docs/tutorials/netcdf_zarr_sequential.ipynb |
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import matplotl... | myproject.ipynb |
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with open('/Users/alger/data/Crow... | notebooks/116_cnn_outputs.ipynb |
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# ### Preprocessing
import numpy as np
import pandas ... | Chapter 9/R Lab/9.6.5 Application with Gene Expression Data.ipynb |
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# default_exp callback.noisy_student
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# ### ORBIT Example - Cash Flow and NPV
#
# Last Updat... | examples/Example - Cash Flow.ipynb |
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# # ganram
# # GAN-BASED DATA... | GANRAM_project.ipynb |
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# # TensorFlow Basics
import tensorflow as tf
# Make... | 02-TensorFlow-Basics/00-TensorFlow-Basic-Syntax.ipynb |
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# + id="0SRyzt5S_75J" colab_type="code" colab={"base_uri": "https://localhost... | week09_policy_II/w9_TRPO_tf.ipynb |
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# ## KNN
#
# O algoritmo dos vizinhos mais próximos te... | .ipynb_checkpoints/KNN-checkpoint.ipynb |
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sys.path.append('.... | section_advanced_localization/kld_kidnap.ipynb |
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# + [markdown] colab_type="text" id="YOykQi5n4e5u"
# T... | courses/fast-and-lean-data-science/04_Keras_Flowers_transfer_learning_playground.ipynb |
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# # 4: Lists Solutions
#
# 1. Reverse a given list, e.... | 04 Lists/04_Solutions.ipynb |
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# Author: <NAME> ([Github](https://github.com/gyglim),... | code/Experiments/Lasagne_examples/examples/Video features with C3D.ipynb |