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# # Protein expression (MDAnderson RPPA)
#
# The goal ... | notebooks/Protein expression.ipynb |
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import pandas as pd
from sklearn.model_selection impor... | DeepLearning/MLPdata1.ipynb |
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# # Watson Assistant Dialog Flow Analysis
# <img src=... | notebooks/Dialog Flow Analysis Notebook.ipynb |
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# + [markdown] id="mLcmGG387N5t" colab_type="text"
#
# # Motivations
#
# ![al... | Google_Dopamine_(LIVE).ipynb |
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# # Creating a Neural-Network from scratch
# > A tutori... | _notebooks/2020-09-22-nn-from-scratch.ipynb |
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# Looping using while
_test = ["AUD","IDR","JPY","USD"... | #01 Python Fundamental/#12_looping_statement.ipynb |
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# name: python374jvsc74a57bd0b39ab04170b6c60b52a31d4a7ab4d204539d261a537423dd50ae2a4297d5... | _notebooks/2021-06-10-p1.ipynb |
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# # WeatherPy
# -... | starter_code/WeatherPy.ipynb |
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impor... | model.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} grad... | Char2Char generation and syllabification.ipynb |
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# + pycharm={"name": "#%%\n"}
import pandas as pd
# +... | ML/Week5-2.ipynb |
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import pandas as pd
from IPython.display import displa... | 03_Analysis/ExploreAuthors.ipynb |
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# # Welcome to qso_toolbox
# ## This library of python... | examples/GettingStarted.ipynb |
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import os
import pathlib
# For loading geotiff data
i... | notebooks/exploratory/1.0_kmg_landscape-metrics-example.ipynb |
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# # Introductory applied machine learning (INFR10069) ... | 08_Lab_4_Clustering_PCA_and_Evaluation.ipynb |
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import collections as cl
t = int(input())
for _ in ra... | Solved problems.ipynb |
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# # QR Factorisation
#
# We will look at two different... | Matrix Factorisation/QR-Solution.ipynb |
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import http.client
import... | notebooks/jaklinger/microsoft_academic_knowledge/academic_graph_search.ipynb |
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# # Your First Quantum Game
# If you've already read ... | notebooks/ch-demos/first-quantum-game.ipynb |
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# # HyperLearning AI - Introduction to Python
# An int... | 06. Functions and Modules Part 1.ipynb |
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# Be sure to restart the noteb... | PhraseAnalysis.ipynb |
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import numpy as np
import pandas as pd
imp... | 04. Box Plot.ipynb |
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# 自定义层
# 构造一个没有任何参数的自定义层
import torch
... | artificial-intelligence/d2l-pytorch/notes/18_build_layer.ipynb |
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# #!pip install selenium
# #!pip install webdriver... | .ipynb_checkpoints/mission_to_mars-checkpoint.ipynb |
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# + deletable=true editable=true
from os import path
f... | Ch04/04_04/04_04.ipynb |
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# %matplotlib inli... | qiskit_transpiler/transpiled_initialization_circuits.ipynb |
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# # Perspective Transform
# ## Import all the necessa... | Computer Vision/basics/perspective_transform.ipynb |
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# # Home
# In this interactive notebook we will go th... | content/introduction.ipynb |
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# + [markdown] _cell_guid="c6e42e34-db68-49ef-8070-a69... | 8 HOUSE PRICES/predicting-house-prices-regression-techniques.ipynb |
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# %matplotlib inline
# # Isochrone fitting using gaia... | demo.ipynb |
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# ## Explore The Data: What Data Are We Using?
#
# Usi... | ml_feature/03_Explore_Data/03_01/End/03_01.ipynb |
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# # Data Augmentation
#
# ### Let's look at our untouc... | Data Augmentation Demos.ipynb |
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# + id="pYl-PPaVY1fO" colab_type="code" colab={}
# #!pip install datadotworld... | matrix_one/day3.ipynb |
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import random
import numpy as np
import sys
sys.path.a... | samples/gaussian_mixture.ipynb |
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# + [markdown] colab_type="text"
# # Sequence to seque... | examples/nlp/ipynb/addition_rnn.ipynb |
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using RDatasets
irisdf=dataset("datasets","iris")... | dataScience/stats/stats.ipynb |
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# # 3.1 线性回归
# +
import torch
from time i... | code/chapter03_DL-basics/3.1_linear-regression.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/templates/foo_solution.ipynb |
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... | Curso-SQL/DB0201EN-Week3-1-4-Analyzing-v5-py.ipynb |
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# # Klasifikasi menggunakan KNN
#
# Notebook ini merupakan bagian dari buku *... | jupyter/classification_knn.ipynb |
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# ## Pandas Profiling: NASA Meteorites example
# Sourc... | examples/meteorites/meteorites.ipynb |
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# %pylab inline
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#Graph comp kaiser model z=0
e0z=... | code python/plot_xi_1D.ipynb |
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# # Figure 1(i): 3D State Plots with Profiles
# This n... | notebooks/figure-1ii-3D-states-with-profiles.ipynb |
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numbers = [1,2,3,4,5,6,7,8]
numbers[2:len(numbers)]
n... | pythoncourse/Slicing.ipynb |
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# # Covariance Matrix
# ## Install libraries
import ... | portfolio_risk_and_return/m3l4_covariance.ipynb |
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# %load_ext autoreload
# %autoreload 2
import torch
import t... | detr.ipynb |
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# # GP Classifier
from functools import partial
impor... | gaussian-processes/classifier.ipynb |
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from __future__ import print_function
import datet... | Archive/working_set_reuse.ipynb |
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# # Linear Regression (OLS)
#
# ### Key Equation: $Ax ... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/MACHINE_LEARNING/HACKERMATH_FOR_ML/Module_1b_linear_regression_ols.ipynb |
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import pandas as pd
impor... | champion-scores/champion-scores.ipynb |
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# # A simple DNN model built in Keras.
#
# In this not... | quests/serverlessml/04_keras/solution/keras_dnn.ipynb |
# -*- coding: utf-8 -*-
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using AvailablePotentialEnergyFramework, Statistic... | plots_notebooks/Composites_Plots_nomask.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__a... | 1_retrain_from_checkpoint.ipynb |
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# <h1>**Data Bootcamp Final Project**</h1>
# <h2>**Suc... | UG_F16/Jaehurn-Nam-Movies.ipynb |
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# # EEG/MEG signal preprocessing
# ### ANSWERS TO THE ... | EEG_tutorial_exercise_solutions.ipynb |
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import os
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"... | flopco_keras/examples/model_stats.ipynb |
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L1= [10,20,30,40,50]
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L3 = L1+L2
prin... | Practise notebook on Mathematical Operations on Arrays - 1.ipynb |
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# _You are currently looking at **version 1.2*... | Course3_Applied_Machine_Learning_in_Python/Assignment+3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DS_Unit_1_Sprint_Challenge_2_Data_Wrangling.ipynb |
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import pandas as pd
import os
os.chdir("20")
files =... | User Independence Analysis/Random Forest (Code + Result Analysis + Log)/others/UI/Untitled.ipynb |
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# # Alice creates a qubit
from cqc.python... | notebooks/Alice.ipynb |
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# # Implementing HMM for POS Tagging
#
# In this noteb... | notebooks/POS-HMM.ipynb |
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# **Вопросы для повторения:**
#
# * что такое calling ... | 2020/sem1/lecture10_algo_lambdas/repetition.ipynb |
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# # B99 and NBC Show Scraper
#
# In this notebook, I'l... | Brooklyn Nine Nine Scraper.ipynb |
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# # Example of spectral contrasting
#
# Th... | docs/notebooks/python/example_contrast.ipynb |
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// # Maps
//
// The fl... | Notebooks/Maps.ipynb |
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sys.path.append(r'../../HelperF... | Soil/SoilType/SoilTypeClassifier.ipynb |
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# #[Work work, money money][repeatyoutube]
# Combine j... | WorkWorkMoneyMoney.ipynb |
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import pandas as pd
import numpy as np
from sklearn im... | NB_Fertilizer_Accuracy.ipynb |
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# name: python361064bitpythondataconda2... | .ipynb_checkpoints/convert-checkpoint.ipynb |
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# # Grouping your data
#
# + activity=false run_contr... | Ajiboye Azeezat WT-21-011/2-checkpoint.ipynb |
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# IMPORT:
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import numpy as np
import pandas as pd
... | notebooks/Draft/sakib/Test.ipynb |
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import cv2
import numpy as np
import os
from rando... | src/main/Notebooks/DogCat.ipynb |
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# In this notebook, we mainly utilize... | HouMath/Face_classification_HouMath_XGB_04.ipynb |
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# <b>Encontre o vetor $v$ colinear ao vetor $\vec {u} ... | Lista de retas/04.ipynb |
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# + id="3oF_DFbvlUyw" colab={"base_uri": "https://localhost:8080/", "height":... | Notebooks/EDA.ipynb |
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dia = int(input("Qual o dia da semana? "))
if dia == 6... | Python/exercicios_DSA/exercicios/ex011.ipynb |
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from pathlib import Path
import ... | notebooks/plan_pandas_save_pajek.ipynb |
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import numpy as np
import pan... | explore.ipynb |
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# + [markdown] colab_type="text" id="vN99YjPTDena"
# #... | _notebooks/2020-10-27-Random_forest_regression.ipynb |
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#|hide
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# # Merge Sort
# © 2021, <NAME>
# +
import sys
def m... | Sorting Algorithms/Merge Sort.ipynb |
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import matplotlib.pyplot as plt
# ... | data-science/scikit-learn/10/01-What-is-Decision-Tree.ipynb |
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from scipy.optimize import minimize
from scipy.optimiz... | notebooks/Solver-orig.ipynb |
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# + id="WP1koyfTkNDA" colab_type="code" outputId="5fbe2731-8405-47a2-9fc8-ab9... | dffnn_demo.ipynb |
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# # UDF Testing in the Notebook
#
# This notebook show... | docs/tutorials/BigQuery/UDF Testing in the Notebook.ipynb |
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# # Dependencies
# + _kg_hide-input=true
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import matplotlib.pyplot as plt
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# <a href="https://colab... | Can_You_Escape_The_Enemy_Submarines?.ipynb |
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# # Implement a linked list with append, prepend, find... | Linkedlist/sll.ipynb |
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from socket import socket
import threading
# +
# Serv... | Parallel-Chat.ipynb |
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# # Advanced Classical Machine Learning:
#
# <div clas... | notebooks/summer-school/2021/lec4.2.ipynb |
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# # Dialog skill analysis for Watson Assistant
#
# ## ... | skill_analysis.ipynb |
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import os
import ... | TestRegression.ipynb |
# +
# Illustrate expoentnially-weighted moving average
# Based on
# http://people.duke.edu/~ccc14/sta-663-2019/notebook/S09G_Gradient_Descent_Optimization.html#Smoothing-with-exponentially-weighted-averages
# http://people.duke.edu/~ccc14/sta-663-2018/notebooks/S09G_Gradient_Descent_Optimization.html
import numpy as ... | notebooks/book1/04/ema_demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Image Patches
#
# In this module, we w... | ImageAnalysis/02_ImagePatchesHomology.ipynb |