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# <a href="https://colab... | FederatedLearning.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
#... | ML Study Group Talk.ipynb |
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# <a href="https://colab... | Plotting_and_Exploring_Datasets.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | docs/source/nb_tsdrg.ipynb |
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# + code_folding=[]
# # %load... | DigitCount.ipynb |
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# ### Given policy evaluate value by Temporal Differen... | Basic_gridWorld/Temporal_difference_learning.ipynb |
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# ## Creat... | data/BuildingDataset.ipynb |
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# # Matplotlib and iPyWidgets
# In this jupyter noteb... | jupyter/Matplotlib and iPyWidgets - canvas.ipynb |
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# ## Sentence Quality Classification
#
# Classifiy sen... | sentence_quality_classification_bert.ipynb |
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# # Example 02: General Use of RegressionMetrics
#
# [... | examples/metrics/example_02_RegressionMetrics.ipynb |
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# + [markdown] tags=[]
# # 유효한 비디오 추출 과정
#
# 먼저, 공개한 웹... | data/Analyze_COMS.ipynb |
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import pandas as pd
import requests
from lxml import e... | emblebi_webinar_rest_api.ipynb |
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# ## 6.10 Homework
#
# The goal of this ho... | alexeygrigorev_zoomcamp/week06/homework.ipynb |
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# + [markdown] id="LNbzpORsUapk"
# # Reddit Scrapper
... | redditScrapper.ipynb |
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# # MAX31855 Temperature
# To run this script, select ... | Python/MAX31855/MAX31855-GUI.ipynb |
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# # Histograms
import numpy as np
import pandas a... | 01-Introduction to Computational Statistics/01-Histograms.ipynb |
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import os
import pandas as pd
import math
import sys
i... | confidence_interval.ipynb |
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# # 데이터 전처리
# ## 넘파이로 데이터 준비하기
#
... | 02/2-2.ipynb |
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# ## Analyse the Publications data from Kenya¶
# So we... | notebooks/Data_visulization.ipynb |
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# # One Degree-of-Freedom (DoF) Hamiltonian Bifurcatio... | content/act1/hamiltonian_bifurcation/ham_bif.ipynb |
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import pandas as pd
import numpy as np
import random
f... | Bayesian Project Analysis Notebook.ipynb |
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# # Creating an image mask
#
# Calibration cannot comp... | notebooks/08-02-Creating-a-mask.ipynb |
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# # Conformal Geometric Algebra
# ## Intro
... | docs/ConformalGeometricAlgebra.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 07_ensemble_learning_and_random_forests.ipynb |
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# <a href="https://colab... | blinky_beadpull.ipynb |
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import numpy as np
import pandas as pd
from utils.data... | RNN_LSTM_stance.ipynb |
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from sklea... | Dermatology.ipynb |
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# %load_ext autoreload
# %autoreload 2
import num... | STS_v3/debug.ipynb |
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# # Get Data
# %load_ext lab_black
# %loa... | v1/notebooks/old-versions/0_get_bikeshare_data.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | 04. Working with Images and Text/.ipynb_checkpoints/Quiz-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Sentiment_analysis.ipynb |
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# ## Examples of aggregating and grouping data
import... | code/ch6-aggregating-grouping-merging/1-Aggregating-Grouping-Example.ipynb |
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import numpy as np
import pandas as pd
import glob
im... | SQLi DT.ipynb |
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# ### Основы Python и пакет NumPy
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#
import nump... | Seminars/Seminar_1/numpy_practice.ipynb |
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import heapq
from operator import itemgetter
cons... | code/Elementary/Checkio_big_price.ipynb |
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# # Gradient Descent Optimization
# +
import numpy as... | gradient_descent_optimization.ipynb |
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# + id="Cx-zGfMleo87" colab_type="code" colab={}
# + [markdown] id="S_7Yjv5... | natural_language_processing/word_embedding_using_keras.ipynb |
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# + colab={} colab_type="code" id="gw6aOs69e4Wj"
impor... | 01-Lesson-Plans/22-Big-Data/3/Activities/05-Stu_Big_Data_Review/Unsolved/Q1_unsolved.ipynb |
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# ### Importing the Libraries
# + id="XnIpJnkHuT-D"
i... | CNN.ipynb |
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import torch
import torch.nn as nn
import torchvision
... | PyTorch_Udemy/08_Residual Network.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | JupyterNotebook/PMJ_Development_Notebook.ipynb |
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# ... | HW2/HW2 - 1 .ipynb |
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# # How to remove common systematics from Kepler light... | docs/source/tutorials/04-removing-cbvs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | plot_test/3dplot.ipynb |
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# # Answers for Arithmetic Questions
# **Question 1**... | .ipynb_checkpoints/Arithmetic_answers-checkpoint.ipynb |
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# This tutorial continues part one, and recovers plane... | tutorials/03 Multiple planets - K2-3, a red dwarf with 3 Super-Earths.ipynb |
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# ## Pré-processamento de texto e divisão de dados de ... | Pre-processamento.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | PMC.ipynb |
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import numpy as np
import pandas as pd
from sklearn.mo... | Ensembling methods/Using the Decision tree technique to determine weight at birth.ipynb |
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# # MLToolKit Regression Example
# ## Generated Datase... | MLToolKit Regression Example - Generated Dataset.ipynb |
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import numpy as np
import scipy as sp
import sympy as ... | examproject/Group DYE Code - Examproject final.ipynb |
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# # Import libraries
import sys
sys.path.append('../'... | jupyter/production_condition_dataset.ipynb |
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import numpy as np
from scipy.optimize import curve_fi... | notebooks/.ipynb_checkpoints/Stab_2_state_H-checkpoint.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as p... | inference.ipynb |
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# # Introduction
#
# ## Using Jupyter
#
# Jupyter is a... | Lab4_MongoDB/COMP6235 MongoDB Tutorial 1819.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W3D2_DynamicNetworks/student/W3D2_Tutorial2.ipynb |
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# # Dictionary based time series classification in skt... | examples/dictionary_based_classification.ipynb |
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import h5py
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# + [markdown] slideshow={"slide_type": "slide"}
# # T... | The Split-Apply-Combine Pattern in Data Science and Python.ipynb |
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# # Linear Regression
#
# _Notebook orignially contrib... | Machine Learning/sklearn examples/Linear Regression/Linear Regression .ipynb |
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using Revise
using StructuredMeshing, Plots
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m... | examples/SimpleExample.ipynb |
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# + active=""
# 说明：
# 段式回文 其实与 一般回文 类似，只不过是最小的单位是 ... | Dynamic Programming/1106/1147. Longest Chunked Palindrome Decomposition.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MachineLearning/How_to_predict_cancer_survival_with_TensorFlow.ipynb |
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# # CLASSIFICATION OF TRAFFIC SIGNS USING LE-NET ARCHI... | images/Traffic Signal Classification Using La-Net Architecture.ipynb |
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# # Dataset prepratation
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from PIL import Image
d... | ML_HW#3/Question8.ipynb |
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# + colab={} colab_type="code" id="3wmHXH0XbQVf"
impor... | src/tf_CNN.ipynb |
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import numpy
from scipy import ndimage
import pandas
f... | examples/notebooks/append_bands_example.ipynb |
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inp = int(input("Enter matrix dime... | Data Science/Numpy/Untitled4.ipynb |
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# # Part 3: Pandas Exercise
#
# Pandas was built on Nu... | 3_Pandas_Exercise.ipynb |
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from datetime import datetime
import pandas as pd... | old/pandas_approach/pandas_solution.ipynb |
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# + [markdown] colab_type="text" id="rTXmSmgNusA3"
# #... | L3/L3-A00354777.ipynb |
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import cortex
import requests
import time
def... | inference/Cortex_Post.ipynb |
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# ### Automate Mouse Events using pynput
#
# #### Expl... | Automate_Mouse_Events_using_pynput.ipynb |
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import pandas as pd
df = pd.read_csv('data/amazon_ce... | scratch_work/comparing_sentiment_analysers.ipynb |
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# Esistono molti modi diversi di approcciarsi alla ris... | ParmiSomigliAdUnSempliceEsempio.ipynb |
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# # Working with IPython and dask.distributed
#
# [das... | examples/dask.ipynb |
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# Install external libraries
# !pip install requests ... | workflow.ipynb |
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# # Excercises Electric Machinery Fundamentals
# ## Ch... | Chapman/Ch8-Problem_8-22.ipynb |
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# # Imports
import pyaurorax
import datetime
import p... | examples/notebooks/search_data_products.ipynb |
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train_data = pd.read_csv("../data... | websites/HCKT02/generate_data.ipynb |
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# Dynamics of a single particle ... | examples/single_particle_in_free_space/single_particle_in_free_space.ipynb |
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# ## Importing Libraries
import pandas as pd
import w... | Tkinter UI.ipynb |
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# ## Visualizing Attractors
#
# An [attractor](https://en.wikipedia.org/wiki/Attractor#Strange_attractor) is a set of values to which a numeri... | examples/topics/strange_attractors.ipynb |
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# Model without CRF
from keras.utils.np_u... | Save+load_bilstm_model_npt.ipynb |
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# ## Reference:
#
# <NAME>. (2019). Accurate image rec... | .ipynb_checkpoints/W-stacking-improved Optimised with decreased w-planes (W=4, x0=0.25)-checkpoint.ipynb |
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import pandas as pd
import numpy as np
from scipy impo... | RegressionModels/Logistic Regression/Austim_screaniin_classifier.ipynb |
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# # Datasets:
# - ABS sensus for Vic in postcodes
# - ... | notebooks/00_Data-collection.ipynb |
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# !pip install pymongo
# !pip install bs4
# !pip insta... | Missions_to_Mars/Mission_to_Mars.ipynb |
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# + [markdown] id="9teObmxrP0FE"
# ##### Copyright 2021 The TensorFlow Author... | site/en/tutorials/understanding/sngp.ipynb |
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# title: "Convert Pandas Categorical Data For Scikit-Learn"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Convert Pandas Categorical Column Into Integers For Scikit-Learn"
# type: technical_note
# draft: false
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# + [markdown] id="vPKTIRAtx232" colab_type="text"
# # Thompson Sampling
# +... | Reinforcement learning/Thomspon_Sampling_Me.ipynb |
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# <center><img src="src/bqplot.svg" width="50%"></cent... | 2018-11-14-PyParis-widgets/notebooks/2.bqplot.ipynb |
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# %matplotlib inline
import csv
import fnmatch
imp... | notebooks/clusterimages.ipynb |
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搭建环境，运行PARL
#安装环境
... | notebook/lesson1_MakeEnv.ipynb |
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# # Exercise 6
#
# ## SVM & Regularization
#
#
# For t... | exercises/E6-SVM&Regularization.ipynb |
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# Exercise 1 - BioBlend
# =====================
#
# **... | ex1_bioblend.ipynb |
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# ## Seminar 03 - Functions
# form submissions with o... | week03_functions/seminar/seminar03.ipynb |
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# + [markdown] id="zsb-Cvf6lnVX"
# <img src="https://p... | ParlAI_Tutorial.ipynb |