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# # Deep Learning with MNIST Dataset using Tensorflow ... | DL_mnist.ipynb |
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import glob
import pickle
import re
i... | .ipynb_checkpoints/Prev Data-checkpoint.ipynb |
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from civicpy import civic, version
version()
# ## Exp... | examples/basic_example.ipynb |
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# # Pathfinder Application (Wind and Light)
#
# Author... | Wind and Light.ipynb |
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# <script async src="https://www.googletagmanager.com/... | in_progress/Tutorial-GiRaFFE_NRPy_Main_Driver.ipynb |
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# # Scrape MyMovies Web Site
#
# ## Goal
#... | 05/Scrape MyMovies.ipynb |
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# # 0. Imports and Settings
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import pa... | m01_books_scrapping.ipynb |
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# [](https://pyt... | 11_excepciones_personalizadas.ipynb |
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# # Seminar: simple question answering
#  - [Back](Widget Events.ipynb) -... | examples/Interactive Widgets/Widget Styling.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/invert_tree/invert_tree_challenge.ipynb |
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# # Лекция 17 "Хеш-таблицы"
#
# ### Финансовый универс... | Course I/Алгоритмы Python/Part2/лекции/lec17_asd4/lec17_asd4_v6.ipynb |
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;; ## Lec20 `#23/11`
;; ... | Lectures/.ipynb_checkpoints/Lec20-checkpoint.ipynb |
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# ## Example 2: Convert TFHub Models to Ope... | aws/mo-utility/create_ir_for_tfhub.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ProjetoFinal_(ApacheBeam_Oficial).ipynb |
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import numpy as np
import pandas as pd
import matplo... | Credit Card Fraud Detection.ipynb |
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# <a href="https://colab... | 5_custom_gym_env.ipynb |
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###############################################... | Code_Builder.ipynb |
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# + [markdown] origin_pos=0
# # 实战Kaggle比赛:预测房价
# :label:`sec_kaggle_house`
#
# 之前几节我们学习了一些训练深度网络的基本工具和网络正则化的技术(如权重衰减、暂退法等)。
# 本节我们将通过Kaggle比赛... | d2l/pytorch/chapter_multilayer-perceptrons/kaggle-house-price.ipynb |
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saldo = 500
valor_saque = float(input(... | CondicionalSimples.ipynb |
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import pandas as pd
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df_dep = p... | medidas-tendencia-central.ipynb |
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# + [markdown] id="Jug0nljfnzPe"
# # Cで整数を5バイトに押し込む簡単なお仕事
# -
# ビッグデータを処理するよ... | CUint40.ipynb |
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# # King County Real Estate
# ## Designing Data-Driven... | code/Final-Copy1.ipynb |
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# ### Exercise 7 : This covers three types of inherita... | Exercises - Qasim/Python. Pandas, Viz/Questions/Exercise 7 (Single, Multiple, Multilevel Inheritance).ipynb |
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# -*- coding: utf-8 -*-
"""
Created on Tue Jun 5 ... | steadystate_Scripts/BORL_Figure_generate.ipynb |
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#
# Group Sparse inverse covaria... | experiments/.ipynb_checkpoints/plot_multi_subject_connectome-checkpoint.ipynb |
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# + [markdown] id="QWlVMMX7avna"
# ## Big O Notation & Algorithm Analysis
# #... | AlgorithmAnalysis_Notes/BigOAlgorithmAnalysis_Notes.ipynb |
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# # Visualiser des principes de base de l'IRM
# ## Que... | applications_cours2_principes_IRM.ipynb |
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import os
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# # BERTCRFNER
#
# 可用的中文预训练参数:[`bert-base`](https://st... | examples/tutorial/BERTCRFNER.ipynb |
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# %pylab inline
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# %autorel... | notebooks/Cosmic_Rim_DM.ipynb |
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from random... | 009-cnn/MNIST in Tensorflow.ipynb |
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# ## Calculate the skill of a MJO Index as a function ... | docs/source/examples/subseasonal/weekly-subx-example.ipynb |
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import random
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... | notebook/laliga_scraper.ipynb |
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# %matplotlib inline
# %reload_ext autoreload
# %autor... | Courses/DeepLearning_2/translate.ipynb |
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# # Using Amazon SageMaker Object Detection For Playin... | Detecting Playing Cards Using Amazon SageMaker Built-In Object Detection.ipynb |
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# ### read in ... | section2/Lecture9_csv.ipynb |
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# ## import the libraries to use
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# This is f... | notebooks/Acquisition_1.ipynb |
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# # Seaborn - matrix and regression plots
import seab... | python_crash_course/seaborn_cheat_sheet_3.ipynb |
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# # Word Prediction
#
# In this notebook, we are going... | word_prediction.ipynb |
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from config import Config
import utils
import os
impo... | testResults.ipynb |
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'''
**************************************************... | .ipynb_checkpoints/House Prices Advanced Regression Techniques-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 02_01_nqueens.ipynb |
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# Iris plants dataset
# --------------------
#
# **Dat... | notebooks/Iris_dataset_2.ipynb |
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# Importing libraries
import numpy as np
import matplo... | Day 7/Linear Regression/Linear Regression.ipynb |
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import collections
import os
import string
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# + deletable=true editable=true
from chempy.chemistry... | examples/NaCl_precipitation.ipynb |
# -*- coding: utf-8 -*-
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# **SVM**
# Resumo
#
#
# +
import pandas as pd
impor... | notebooks/estudos_python/machine_learning/svm/classificacao_svm.ipynb |
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# ### First, let's add more features to see if that wi... | python_taiwan/logistic_regression/yang_wang/02_debug.ipynb |
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# # Factory
#
# The code does not have to worry about ... | creational/factory.ipynb |
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# # General Overview
# ## Business Unders... | Code/tn_cleaning.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# Example ... | examples/example1.ipynb |
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# !pwd
import pickle as pk
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from sk... | TestResults_ 4_Categories_of_Restaurants.ipynb |
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# # Tag 1. Kapitel 1. Grundlagen
#
# ## Lab 1. ... | 1.1 R Basics/de-DE/.ipynb_checkpoints/1.1.10 R - Basics. Lab 1. - Solutions-checkpoint.ipynb |
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# + id="k5ZxDky2OZI4"
#default_exp query
# + id="tqmQkGtgOZJA"
#export
# mar... | query.ipynb |
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# + [markdown] id="yC6iWdubIxT2"
# # Payment Matching
# At Shopee, bank trans... | payment_ndsc.ipynb |
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# # Inverse Distance Weighting model vs Kriging - tuto... | docs/build/html/tutorials/Compare Kriging results to the IDW model (Basic).ipynb |
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# title: "Random Forest Classifier"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Training a random forest classifier in scikit-learn."
# type: technical_note
# draft: false
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# format_... | docs/machine_learning/trees_and_forests/random_forest_classifier.ipynb |
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# # PublicDatasets
# +
import sys
sys.path.append('so... | PublicDatasets.ipynb |
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# +
import os
import pandas as pd
import ... | History/Bokeh with Interact (still working on it)- Natasia Edit.ipynb |
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# # Computational Astrophysics
# ## 02. Pyplot Visuali... | 03._Visualization/presentation/02.pyplotExample02/pyplotExample02.ipynb |
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import numpy as np
from scipy.special impo... | assignments/a5/Q1.ipynb |
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# +
from __future__ import print_function, division
im... | resNet.ipynb |
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# + id="1HyoZ4SjWtVh"
import numpy as np
import pandas as pd
import matplotl... | eda.ipynb |
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# # Student Alcohol Consumption
# ### Introdu... | 04_Apply/Students_Alcohol_Consumption/Exercises.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | math_calc_ordinarydiff.ipynb |
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# ## Application fields
# + hide_input=true
from fast... | docs_src/applications.ipynb |
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# + [markdown] slideshow={"slide_type": "skip"}
# <tab... | 07_differentiation.ipynb |
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# # Example: Optimal adversaries for dense... | docs/notebooks/neuralnet/mnist_example_dense.ipynb |
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# # COVID-19 Charts
#
# Some charts and maps using COV... | notebooks/covid-19-charts.ipynb |
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# # Regression
#
# This exercise sheet covers the foll... | exercises/Exercise_06_Regression.ipynb |
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# As an introduction to tensorflow, let's use tensorfl... | session/session_5/tensorflow_example_MNIST.ipynb |
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# # Introduction
# There are several loads that act o... | notebooks/n05_kinetics.ipynb |
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# +
import pandas as pd
import numpy as np... | ee250/labML/examples/flags-knn/using_tensors.ipynb |
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import numpy as np
import matplotlib.pyplo... | day4/02. Scipy - Special function-derivative-integral.ipynb |
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location = input("Please enter your delivery location?... | .ipynb_checkpoints/project_II-checkpoint.ipynb |
# + [markdown] id="X4cRE8IbIrIV"
# If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers and 🤗 Datasets. Uncomment the following cell and run it.
# + colab={"base_uri": "https://localhost:8080/", "height": 1000} id="MOsHUjgdIrIW" outputId="f84a093e-147f-470e-aad9-80fb51193c8e"
# ... | examples/token_classification.ipynb |
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import os
import glob
import numpy as np
from shutil i... | notebooks/list-imagenet-contributors.ipynb |
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import numpy as np
from scipy.optimize import minimize
from skl... | svm/LinearSVC.ipynb |
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using GalacticOptim
using Optim
f(x, p) = -x[1]*x... | OptimizationTutorial/GalaticOptim.ipynb |
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# +
import numpy as np
import pandas as pd
import war... | Merge_Python_and_R.ipynb |
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# # Github API v3 - Collect contributions
# +
import ... | Github API ipython v3.ipynb |
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import numpy as np
import pandas as pd
import matplo... | Software_Defect_JM1_Data/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# %matplotlib inline
import tensorflow as tf
impo... | Demo.ipynb |
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# Importing libraries
import pandas as pd
from fuzzywuzzy impo... | book_rec.ipynb |
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# # [Django Q](https://django-q.readthedocs.io/en/late... | books/queue/django-q.ipynb |
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import PyPDF2
pdf = PyPDF2.PdfFileReader('data/src/pd... | notebook/pypdf2_metadata_get.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 8: P... | code/chap08-JLS.ipynb |
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# # Activity 4: Creating a TensorFlow Model using Kera... | Lesson-2/activity_4/Activity_4_Creating_a_TensorFlow_Model_Using_Keras.ipynb |