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# ### Imports
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# ## Exercise
#
# This exercise is designed to help yo... |
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# # Problem
# - From: [3Blue1Brown Youtube](https://www... |
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# # Programming Exercise 7:
# # K-means Clustering and... |
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# # Estimation of effective connectivity using MOU pro... |
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# # Introduction
# In this project, the similarity be... |
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# # Scipy Stats Jupter notebook
# #### Sc... |
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#Automatic film scanning for Film Carr... |
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# HIDDEN
from datascience import *
from pro... |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... |
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#
# # For Double-pendulum, the Hamiltonian is
#
# Dou... |
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# Data Science Libraries
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# # Homework -2 Group 5A
# +
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impo... |
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# # Intro
# Online portfolio optimization is... |
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# Dependencie... |
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# <br><br><br><br><br>
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# # Histograms in Scientific ... |
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# + id="-4bB-RtpHBWR"
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# + [markdown] id="yHlDlg9tWeXk"
# # Introduction
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from numba import cuda
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im... |
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import numpy as np # linear algebra
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# + [markdown] id="pLHzceXgWYCE" colab_type="text"
# # <NAME> 19626
# + id="... |
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# + id="pg1TQh139rDz" colab_type="code" colab={}
from fractions import Fracti... |
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# + [markdown] id="view-in-github" colab_type="text"
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#Importing Libraries
from bs4 import BeautifulSoup
fro... |
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# + deletable=true editable=true slideshow={"slide_typ... |
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# Generate learning data (Euler truncation errors) fro... |
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# # richman non-stationarity score (上級チュート... |
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# # Climate event detection task
# Sandbox for preproc... |
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# # SymPy Tutorial
#
# *<NAME>* <br/>
# *Last Updated:... |
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# ### Run in Google CoLab! (Open in new window or new ... |
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# # Statistical learning
#
# The difference between st... |
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# ## Explore The Data: Explore Continuous Features
#
#... |
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# ## First Assignment
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# + [markdown] id="n7U4-xz8TLbk"
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# # Motivation for Implicit Time Integration
# ## CH E... |
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# ## Spring mass damper
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# + [markdown] id="Khw8BuO9cxCr"
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# # model 3-4:近距離の点をクラスター化するモデル
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# # EDA of the state.x77 R dataset
# ## 3rd discussio... |
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# + id="RiQPyEYUwGRY" colab={"base_uri": "https://localhost:8080/"} outputId=... |
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# # Homework (12 pts) - Time Series
#
# The following ... |
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# # Implementing PCA using Scikit-Learn
# I will use ... |
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# # <center>Analyzing NYC Traffic Collision Data</cent... |
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# # NEST implementation of the `aeif` models
#
# #### ... |
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# To measure PP1 intensities
# import necessary modu... |
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# + active=""
# \tableofcontents
# % These TeX command... |
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# # 5-layer convolutional neural net
# ## Keras first... |
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import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="view-in-github" colab_type="text"
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# +
import pathlib
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# Standard imports
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# # Notes on Quantitative Risk Management
# > Using ma... |
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# + [markdown] cola... |
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# # particleScanning
# ## Creating a virtual particle from a serie... |
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# ## Baysian Ridge and Lasso regression
# +
import ma... |
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# **How many COVID cases will there be?**
#
# Factors:... |
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# ## Template Matching based labeling
# +
import nump... |
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# + colab={} colab_type="code" executionInfo={"elapsed... |
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# %load_ext autoreload
# %autoreload 2
# +
import mat... |
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import time
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# # Think Bayes
#
# This notebook presents example cod... |
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from IPython.display import Image
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# +
import matplotlib.pyplot as plt
import numpy as np... |
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import numpy as np
import cv2
import copy
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# # WeatherPy
# -... |
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from statistics import median
from random i... |
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# + id="wXeSV0BxFgzV"
from google.colab import drive
drive.mount('/content/dr... |
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# ## Interpreting your pruning and regularization expe... |
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# + [markdown] toc=true
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# + tags=["re... |
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# # Affine transforms using Scipy
# In thi... |
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# + This notebook is part of *Quiz review 3* in the OCW MIT course 18.06 by Prof <NAME> [1]
# + Created by me, Dr <NAME>
# + Head of Acute... |
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