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import numpy as np
import pandas as pd
from... | 4_Applied ML with Python/Course/Week-1/Assignment_1.ipynb |
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st, patt = input("Enter str: "), input("Enter patt... | Topic Wise Problems/Dictionaries/Minimum indexed character.ipynb |
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# # С помощью разнообразных описательных статистик (ко... | HW2/HW2.ipynb |
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import requests
from bs4 import BeautifulSoup
import t... | eBay_webscrape_sql.ipynb |
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# %matplotlib inline
from __future__ import print_func... | ipynb_viirs1/Fig10.ipynb |
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# # Simulating Grism Images with ```pyLINEAR```
#
#
# ... | notebooks/pylinear_simulate_grism.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | kaggle_notebooks/statistical-test-brain-tumor.ipynb |
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# + id="jcS7rdawZbWP" colab_type="code" colab={}
# !pip install --upgrade tab... | matrix-two/dw-matrix-day3-first-simple-model.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="ojbE9IEhSfnv" outputId=... | Butterfly-Classification-Dockship/Butterfly-Classification.ipynb |
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# #### Importing modules
import json
imp... | Q9_Asgn1.nbconvert.ipynb |
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# %load_ext cypher
import operator
import numpy as np
... | languages.ipynb |
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spark
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def getTables(qu... | day4/notebooks/data/scala/lgde-spark-scala-table-name.ipynb |
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# # Spark Train Logistic Regression
#
# Train Logisti... | train/spark-train-lr.ipynb |
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# Approximates the solution to Szabos fractional wave ... | 2D Code/Szabo2D.ipynb |
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# # !pip install pycorenlp
# # !pip install stanfo... | codes/old-experiments/language-analysis-on-false-positive.ipynb |
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# # Lecture 5:Draw Simple Shapes 绘制简单图形
# - **Name (姓... | assignments/2021-05-01/Sophie_assignment_005_marked.ipynb |
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# ## Chapter5.1 scikit-learn 간단하게 살펴보기
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from skle... | Part2/Chapter5.1.ipynb |
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# This example notebook uses the averaging functions f... | notebooks/development/01_09_19_averaging_Chad_P01_data.ipynb |
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import numpy as np
import xarray as xr
import scip... | QS2019_model2_random_forest_regression.step2_visualze_model_performance.ipynb |
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import os
import folium
print(folium.__version__)... | examples/Features.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | notebooks/LongitudinalOSA_PCoA_Graphs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Maximum_Sum_of_Two_Non_Overlapping_Subarrays1031.ipynb |
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# Import Module
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# Loa... | new.ipynb |
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# # Part 1
i... | 2018/ferran/day03/no_matter_how_you_slice_it.ipynb |
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# # Mini Intro to Textual Analysis: Wordlist
# by Dr <... | notebooks/session_5/episode_2/minipy_text.ipynb |
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# + id="rfazuNhy0IZ5"
import pandas as pd
import numpy as np
import seaborn a... | EDA.ipynb |
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# # High Resolution Confl... | supplemental_replication_files/single_feature/make_predictions.ipynb |
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from collections import Counter
import emoji
import ma... | lexical/experiments/notebooks/011.ipynb |
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# # ChemTONIC: A Brief Guideline and Examp... | BriefGuideline.ipynb |
# -*- coding: utf-8 -*-
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# %%
try: from negi_stuff.mo... | negi_stuff/presentations/intro_jlab/01-intro_jlab.ipynb |
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# # Hello World Notebook
#
# **Notebook Authors:** <NA... | hello_world.ipynb |
# -*- coding: utf-8 -*-
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# # Méthodes de projection... | NLP/projectedgradient.ipynb |
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# **5)** In a wind tunnel,... | P1/Questao_5.ipynb |
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# # LeNet-5 - Adapted
# importando o framework tensor... | semana16-29-01-2021/2-arquiteturas-famosas-cnn/lenet/lenet-model.ipynb |
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# # CLEWs Modelling Dashboard
#
# This notebook is int... | tools/visualisation/CBC_results.ipynb |
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# # Object-Oriented Programming in Python.
# * OOP i... | Notebooks/Example-011-OOP.ipynb |
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# ## Mini Project on Machine Learning
# In this proje... | Glass classification.ipynb |
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import pandas as pd
import sqlalchemy
from sqlalch... | .ipynb_checkpoints/ETL Project 2-checkpoint.ipynb |
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# # SET MODE:
SCORING = False #Choose True or False
REPR... | PairwNN.ipynb |
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/ + [markdown] azdata_cell_guid="e24f11e5-f0f6-4dbf-b132-53dd0eed76... | A Practical Starter Guide to SQL Notebooks/04 - Nightly ETL Load Error.ipynb |
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# # Analyse du portfolio yahooFinance
# D'abord, on i... | portfolio_analysis.ipynb |
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# # Generating Keywords for Google Ads
#
# Automatical... | generating_keywords_for_g_ads/summary.ipynb |
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# default_exp stability_margins
# -
#... | 12_Stability_Margins.ipynb |
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# # W207 Final Project
# Erika, <NAME>, Geoff, Leslie
... | W207 Basic Programs LT v2.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | src/datacleaning/Chapter 9/4_wide_to_long.py.ipynb |
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# 1. import csv library
import csv
import pandas as p... | bid_postal-FInal.ipynb |
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# + [markdown] nbsphinx="hidden" slideshow={"slide_typ... | notebooks/visualisation/wradlib_overlay_cartopy.ipynb |
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# Imports
import numpy as np
import matplotlib.pyplot... | MoonLander.ipynb |
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# # Step 1c - Calculate Transport Costs
# This notebo... | Implementations/FY21/ACC_BGD_National/Optional Step 1c - Assign Transport Costs.ipynb |
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# # DAT257x: Reinforcement Learning Explained
#
# ##... | Module 7/.ipynb_checkpoints/Ex 7.3 Actor Critic - Dev-checkpoint.ipynb |
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# ## Covariance Analysis
#
# Based on the computation ... | code/notebooks/covariance/Covariance Analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | renewable_en.ipynb |
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# # 17장. 서포트 벡터 머신
# 이 노트북을 주피터 노트북 뷰어(nb... | 17.ipynb |
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# # Billboard
# ## Breaking Down The Pop Song
#
# +
i... | Billboard/.ipynb_checkpoints/Billboard-checkpoint.ipynb |
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# ## 1.Load MNIST Database
import keras
from tensorfl... | Deep learning project/MNIST - Object Recognition in Images CNN.ipynb |
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import random
class Deck():
def __init__(sel... | Game.ipynb |
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# # ShareNet Example Usage
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# %matplotlib inline
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# + colab={"base_uri": "https://localhost:... | Segmentation/part7_unet_colab_customized.ipynb |
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# # Things you might not know you can do with nbdev
# ... | _notebooks/2020-07-24-nbdev-deep-dive.ipynb |
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# # Determination of camera distortion from chessboard... | calculate_camera_distortion.ipynb |
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# # LDA on CNN Corpus #
#
# In this notebook, I will r... | notebooks/LDA on CNN.ipynb |
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import pandas as pd
import os
import matplotlib.pyplot... | analysis/Nature Medicine 2020-04/Symptoms_prevalence_Fig2.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python/layout/axes/axes.ipynb |
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# # Wine Quality Classifier
# <p><b>Status: <span sty... | python/03-data-analysis/mlp-tensorflow-1.x/mlp-classification-tensorflow1.x-wine.ipynb |
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# * podział na komponenty (rodzic, dzieci, widoki) [1 ... | biu/labs/1_termin/Laboratorium 3 - 09.10.2019.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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studentfile = open("students.csv", "r")
for line in st... | ejercicio1.ipynb |
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# # 机器人世界
#
# 与人类一样，机器人通过它的“感官”来感知世界。例如，无人驾驶汽车使用视频、雷达与... | Lessons&CourseWorks/3.ObjectTracking&Localization/2.RobotLocalization/1.1D_Robot/1. 1D Robot World, exercise-zh.ipynb |
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# + slideshow={"slide_type": "skip"}
# Configuracion p... | 01_analisis_preliminar/01_analisis_preliminar.ipynb |
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# # Deep Learning Toolkit for Splunk - Notebook for Te... | notebooks/binary_nn_classifier.ipynb |
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# ## Sliding SIR Modelling for Different Countries
#
#... | notebooks/SlidingSIR.ipynb |
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# # Hospital Readmissions Data Analysis and Recommenda... | Reduce Hospital Readmissions Using EDA/sliderule_dsi_inferential_statistics_exercise_3.ipynb |
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# ## TL;DR
#
# - [Pull Request 2924](https://github.co... | notebooks/transition1559.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # NLP Text Generation
#
# ## This Noteb... | Data_Preprocessing.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
from numpy.linalg import cholesky
from numpy import linalg
def gaussSample(mu, sigma, n):
A = cholesky(sigma)
Z = np.random.normal(loc=0, scale=1, size=(len(mu), n))
return np.dot(A, Z).T + mu
def ridge(X, y, lam):
"""
This function can be c... | notebooks/book1/04/biasVarModelComplexity3.ipynb |
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# ## Load and Process Dataset
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# Dataset source: htt... | Data_Pre-Processing.ipynb |
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# # Initial Look at Basemap
# ## Create a ... | Notebook/Basemap Look.ipynb |
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# # How to remove scattered light from TESS data using... | docs/source/tutorials/04-how-to-remove-tess-scattered-light-using-regressioncorrector.ipynb |
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from sklearn.model_selection impor... | Archived JN Files/.ipynb_checkpoints/Logistical Regression-checkpoint.ipynb |
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import scip... | Mortgage Propensity Modelling/notebooks/.ipynb_checkpoints/prepare_categorical_features-checkpoint.ipynb |
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# Import our dependencies
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# # Bayesian Updating with Conjugate Priors
# When th... | ml4trading-2ed/10_bayesian_machine_learning/01_updating_conjugate_priors.ipynb |
# -*- coding: utf-8 -*-
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##%noruncode
##%overwritefile
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# # Python's Main Scientific Libraries
# Prepared for... | morning/python_sci_libs.ipynb |
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