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# # 机器学习工程师纳米学位
# ## 模型评价与验证
# ## 项目 1: 预测波士顿房价
#
#
# ... | P1_boston_housing/boston_housing.ipynb |
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import sys
sys.path.append('C:\\Users\\<NAME>\\Desktop... | jupyter/Debug predict method with categorical data.ipynb |
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# # `Using your algorithmic skills to problem solving'... | .ipynb_checkpoints/Problem 3(ASSIGNMENT)-checkpoint.ipynb |
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#
# # Input data
#
# ## Weather forcing
#
# The first example us... | mini_book/input_data.ipynb |
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# # Introduction to Sampling
# +
# import os for oper... | Chapter03/Resampling Methods.ipynb |
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# # Dallas Cowboys Season 2021 ... | code/raw_dallas_stats.ipynb |
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# + id="I-OvGM4wqZeI"
#importing libraries
import numpy as np
import pandas a... | 1c_d2.ipynb |
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# # Typical Course Schedule (3 meetings/week)
# - 3 l... | course-outline-html-3perWeek.ipynb |
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# # Estatística - Distribuição de Weibull
# * Calcula... | Data_Science/Estatistica/Distribuicao_Weibull.ipynb |
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import tensorflow as tf
import matplotlib.pyplot as ... | TransferLearning-EfficientNet/TransferLearning-EfficientNet.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Learning_word_embeddings.ipynb |
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# + [markdown] id="-BqviuI5h5pB"
# [![Open In Colab](h... | colabs/savedmodel_to_tflite.ipynb |
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import matplotlib.pyplot as plt
from scipy.stats impor... | Module2/Python_Data_Analysis_code/Chapter 4/central_tendency.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Mura_Wrist_shoulder_.ipynb |
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# # Biblioteca Pandas
#
# Este tutorial é sobre a util... | Versao2/PyTrigo-V2-4-Pandas.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | 02-Python-for-Data-Analysis-NumPy/02-Numpy Indexing and Selection.ipynb |
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# # Movie Factors That Most Correlate With Large Box O... | MovieAnalysis.ipynb |
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# <a href="https://colab.research.google.com/github/jo... | notebooks/5-probability.ipynb |
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# # Socket Worker Server Tutorial
#
# This tutorial is... | examples/torch/toy/SocketWorker Server.ipynb |
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# # Appendix A: Citation
# If you use `Si... | examples/A_citation.ipynb |
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import pandas as pd
import sqlite3
import sqlalchemy
... | fixtures/database/CSVs_into_database.ipynb |
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# + [markdown] id="TQrXpzY7U9qF"
# #Mock Data
#
# There have been some models... | notebooks/Roberts_Mock_data_ver2.ipynb |
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from __future__ import print_func... | genkeras5.ipynb |
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# Define the Aven... | Python_SQL/day-01/02/assemble_Avengers_solved.ipynb |
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pos = [[529.463, 1451.327, 0.0],[528.914, 1448.883, 0.... | module_simulation.ipynb |
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# Import modules
import cv2
import numpy as np
import ... | Exercise02/Exercise02.ipynb |
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import tensorflow as tf
import numpy as np
from tenso... | Recognizing Hand written digits.ipynb |
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import pandas as pd
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from datetime i... | other/pandas-timestamp.ipynb |
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COPY departments FROM '/tmp/departments.csv' DELIM... | queries.sql.ipynb |
from bokeh.sampledata import us_counties, unemployment
from bokeh.plotting import *
county_xs=[
us_counties.data[code]['lons'] for code in us_counties.data
if us_counties.data[code]['state'] == 'tx'
]
county_ys=[
us_counties.data[code]['lats'] for code in us_counties.data
if us_counties.data[code]['sta... | examples/plotting/notebook/texas.ipynb |
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# Standard imports
import pandas as pd
import matp... | mavenn/development/20.09.27_simulation.ipynb |
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import pyautogui
from pynput.keyboard import *
# # De... | .ipynb_checkpoints/Test_Autoclicker-checkpoint.ipynb |
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# TRY IT YOURSELF
#
# 6-1. Person: Use a ... | 02_PYTHON/week05/pra/Tema6_libro.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | book1/mlp/flax_intro.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/03-basic-gan.ipynb |
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import gym
e = gym.make('CartPole-v0')
obs = e.reset... | notebook/Chapter02_cartpole.ipynb |
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# + id="uB_z2nIOR_Dg" colab_type="code" colab={}
from fastai.vision import *
... | ImageWoofTests/5 Epoch Tests/9000+Mish.ipynb |
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# # Project title
#
# ### Project authors:
#
# ### Cre... | notebooks/barebones-notebook.ipynb |
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# Imports
import pandas as pd
import numpy as np
... | 15XW62 - Machine Learning/2/2.ipynb |
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# default_exp bert_preprocessing.bert_utils
# %load_ex... | source_nbs/03_bert_utils.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 10_time_series_forecasting_in_tensorflow.ipynb |
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# ---------
#
# # Enhanced BiGram model
#
# ----------... | module2/BiGram/BiGram_barebones_Harry_Potter.ipynb |
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# # Homework
# ## Question 1
#
# Fill in the body of ... | Lectures/Lecture2/intro/Python Intro Homework.ipynb |
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import pandas as pd
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# #### In this exercise, we will perform some data cleaning tasks:... | notebooks/Data Cleaning in R.ipynb |
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# !ls
# %%t... | sagemaker_notebook.ipynb |
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# # Building OceanParcels Fields f... | notebooks/atlantis/parcels/LoadOceanParcelsFields.ipynb |
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# + [markdown] id="AYV_dMVDxyc2"
# ['
# language: python
# name: python37664bitvelapipenvde09592071074... | ds/practice/daily_practice/20-07/20-07-13-195-mon.ipynb |
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# Part of https://github.c... | prior.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
... | Recursive_unique_binary.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Desafio 6/DF6_Lit_2.ipynb |
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# + [markdown] colab_type="text" id="AZRZxkhYsjTw"
# #... | misc/reproducibility/stg_1_prepare.ipynb |
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# # Last Significant Bit (LSB)
#
# Implementation of L... | demo.ipynb |
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# How many stacked exposures are required for a de... | notebooks/preliminary/EMGW Detection Distance v2.ipynb |
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# Import the usual libraries
import numpy as np
im... | dev_utils/MIRI_4QPM.ipynb |
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from IPyt... | data_management/megadb/importer_notebooks/example_importer.ipynb |
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def factorial(n):
result = 1
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from __future__ import absolute_import
from __future__... | Code/.ipynb_checkpoints/Convolutional Neural Network-checkpoint.ipynb |
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# Lambda School Data Science, Unit 2: Predictive Model... | module4/assignment_kaggle_challenge_4.ipynb |
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# # Basic demonstration of creating a... | doc/nb/bright-source-mask.ipynb |
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# # Python Web Crawler 4 - Urllib
# ## Request
# +
... | python/Crawler/ipy/crawler4 - urllib.ipynb |
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import argparse
import easydict
import numpy as np
... | .ipynb_checkpoints/query_2-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# # 0. Gradient Descent
# - 너무 간단한 알고리즘
# ... | study/machine-learning/r/ML-4.ipynb |
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# <h1> Pyreto: A Python library for fitting Pareto dis... | index.ipynb |
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import numpy as np
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from skim... | notebook/paper_figures.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | cbir-project-review-3-tech-sprinters (1).ipynb |
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# # 对象和类
# - 一个学生，一张桌子，一个圆都是对象
# - 对象是类的一个实例，你可以创建多个对象... | 9.17.ipynb |
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# + [markdown] run_control={"frozen": false, "read_onl... | notebooks/converted_notebooks/fix_images_with_negative_pixels.ipynb |
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# + [markdown] deletable=true editable=true
# # Create... | courses/machine_learning/deepdive/05_review/labs/3_tensorflow_dnn.ipynb |
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# # Running GridAPPS-D
# ## Starting the ... | module-content/docs/source/installation/1.4-Running-GridAPPS-D.ipynb |
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# Get DOIs using scinthesis
from scinthesis.scraper i... | ipynb/data_collection/download_additional_articles.ipynb |
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# ## Example
def printName(name):
"""This functi... | Machine Learning and Artificial Intelligence/01. Fundamentals-of-Programming/03.Python-for-Data-Science_ Functions/01.Function-Introduction.ipynb |
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# hash: 0f7edb3fff6ef08813ce9cd6ff758f742b93fa6a... | COMP9517/proj/find_car.ipynb |
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# # -----------------:The Sparks Foundation Internship... | Task2 - Prediction using Unsupervised ML (Sparks Foundation internship programme).ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | apriori.ipynb |
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# ### Using the Request Library to Import a .csv Data ... | COVIDTools/.ipynb_checkpoints/RequestDeschutesCOVID-checkpoint.ipynb |
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# + id="67KkJzjicDh8" colab_type="code" colab={}
pip i... | model_runner_notebooks/Transformer_Runner.ipynb |
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import vtk
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# # Posterior Predictive Checks in PyMC3
#
# PPCs are ... | docs/notebooks/posterior_predictive.ipynb |
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import pandas as pd
modulo1 = pd.read_csv('Enaho01-20... | TRANAJO FINAL/pruebaaaa de la t3.ipynb |
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# Understand nltk.Text.similar
# ---------------------... | NLP/3_nltk/nltk.Text.similar.ipynb |
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# # Examples
#
# Below you will find various examples ... | 1_4_Feature_Vectors/3_2. HOG Examples.ipynb |
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from numpy import NaN, NAN, nan
nan
NaN
NAN
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# ... | python/en/_pandas/Pandas for Everyone/ipynb/05-missing.ipynb |
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# name: python38164bitpyudemyconda8c705f49a8e643418ce4b1ca64c8ab63... | Chapter6_ObjectOriented/inheritance.ipynb |
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import ds4se.facade as facade
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# From https://github.com/luphord/longstaff_schwar... | derivatives/longstaff_schwartz/from_luphord.ipynb |
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# # Hands On Astropy Tutorial
# **Tutors:** <NAME>
#
... | astropy/astropy_hands_on.ipynb |
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x=pd.read_excel("Sample - Superst... | Revision class 2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Basic Graphics
# %matplotlib inline
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# + [markdown] id="K26iFUZ6L0Yt"
# # Develop Deep Learning Models for Natural... | Develop Deep Learning Models for Natural Language in Python/Chapter 10 - Project_ Develop a Neural Bag-of-Words Model for Sentimental Analysis.ipynb |
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# # Preprocessing Data (part 2)
# Group 3
# ### Impor... | Preprocessing part 2.ipynb |