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# # Practice Session 08: Connected components and k-co... | practicum/OLD-ps08_components_k_cores.ipynb |
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# + id="0phJzvmTrLJG"
# !pip uninstall tensorflow keras
# + id="WWaJcRwBrPGt... | Generate_Text/Text_Generate.ipynb |
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# # An introduction to Logistic Regression
#
# This no... | LogisticRegression2/LogisticRegressionTitanic_Spark.ipynb |
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# <img src="http://akhavanpour.ir/notebook/images/srtt... | 03-extra.ipynb |
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# <table align="left" width="100%"> <tr>
# <t... | silver/C07_Bloch_Sphere.ipynb |
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# + id="-XxqkeqNEI0D" colab_type="code" colab={}
impor... | prediction/Deep_Learning_Models.ipynb |
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% # Machine learning in critical care tutorial
%
% ... | mlcc/lab2-intro-ml/mlcc2_svm_workshop.ipynb |
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import os
import tarfile
import urllib
DOWNLOAD... | Regression/Housing.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 1000} id="-l_C63V... | evaluation/Evalution.ipynb |
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import warnings
import pandas as pd
from datetime import da... | .ipynb_checkpoints/CryptoAnalyzer-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Anika_Nacey_DS_Unit_1_Sprint_Challenge_3.ipynb |
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# # Basic core
# This module contains all the basic f... | docs_src/core.ipynb |
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# %matplotlib inline
import pandas as pd
import nu... | Training/Two Class Problem.ipynb |
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# # 1. install/ check we have installed pandas
# run ... | pandas1.ipynb |
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from funct... | docs/source/_static/images/make_incubation_period.ipynb |
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import pandas as pd
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#Import the Data set
df = pd... | Car.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Twitter_Sentiment_analysis.ipynb |
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# <a href="https://colab... | Extra_trees_assessment.ipynb |
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# # Finite element solver for an elastic rod
# We cre... | 02-elastic_bar_linear_fem.ipynb |
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# # Extracting runs from one DB file to another
#
# Th... | docs/examples/DataSet/Extracting-runs-from-one-DB-file-to-another.ipynb |
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#there are 83 red geysers in the original list, 51... | red geyser 1.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python/basic/bar/bars.ipynb |
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from cyjs import *
from IPython.displ... | cyjs-jupyter/examples/smallNetwork/smallNetwork.ipynb |
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# # E-distance with high-dimensional data
#
# - sampl... | demos/e-distance-demo.ipynb |
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import torch
x = torch.ones(2, 2, requires_grad=True)... | src/pytorch for former torch users - autograd.ipynb |
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# # FMR standard problem
# ## Problem specification
# ... | doc/user_guide/ipynb/ferromagnetic-resonance-stdprob.ipynb |
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# ## Problem Statement:
#
# ### RBI Cash demand foreca... | RBI_TimeSeries.ipynb |
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import pandas as pd, numpy as np
import matplotlib.pyp... | ep/archive/ep-solo_countries.ipynb |
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# # The basic interface for remote computation with IP... | IPython-parallel-tutorial/tutorial/Remote Execution.ipynb |
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# + [markdown] colab_type="text" id="vLF409jI94Dg"
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import tensorflow as tf
import numpy as np
import matp... | Generative adversarial networks/Deep dream using Inception/Deep dream basic.ipynb |
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# + [markdown] tags=[]
# # Wprowadzenie do... | lekcja1.ipynb |
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# ## 範例重點
# * 學習如何在 keras 中加入 BatchNorm
# * 知道有無 BN 對訓... | 2nd-ML100Days/homework/D-083/Day083_BatchNorm.ipynb |
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# ### 範例
# 接下來的程式碼會示範如何定義一個簡單的 CNN model
import numpy... | Day44/Day44_train_facial_keypoint_Sample.ipynb |
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# ## Python statistics essential training - 03_04_twov... | Statistics Python Essential Training - Linkedin Learning/2). Visualizing and Describing Data/03_04/03_04_twovariables_end.ipynb |
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#... | 2020-01-beginner/course-material/py_class_4.ipynb |
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# # Register and pair for a single movie
#
# First, pr... | notebooks/singlemovie.ipynb |
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import numpy as np
import json
from keras.mode... | notebooks/pipeline/pipeline_17.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ![i... | 05_pandas.ipynb |
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# # Using Variational Autoencoder to Generate Faces
#... | apps/variational-autoencoder/using_variational_autoencoder_to_generate_faces.ipynb |
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# + [markdown] colab_type="text" id="v1CUZ0dkOo_F"
# #... | site/en/r2/tutorials/generative/pix2pix.ipynb |
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import pandas as pd
import numpy as np
import matp... | 04-other-analysis/Autoregression_retail_sales.ipynb |
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import os
import numpy as np
import matplo... | Architecture_Visual.ipynb |
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# Imports for gplearn and pydotplus in order to se... | SunspotSymbolicRegression-WithGridSearch.ipynb |
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import scanpy as sc
i... | notebooks/open_scanpy_objects.ipynb |
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import pandas as pd
import gc
# # 1. generate file wi... | solutions/rank-3/generate_datasets.ipynb |
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// # Welcome Spokane .NET User Group!
/... | 2021.04.13-System.CommandLine/SystemCommandLineSamples.ipynb |
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#loading packages & dependencies
#When the %pylab magic functi... | 05-Mathematic-Implementation/DS-RegressrionTechniques/RegressionTechniquesComparision.ipynb |
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# # Analyzing Portfolio Risk and Return
#
# In this Ch... | Module_4_Challenge_Files/Starter_Code/risk_return_analysis.ipynb |
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# %pylab inline
from solveMDP import *
Vgrid = np.loa... | 20211003/simulation.ipynb |
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# <center>
# <img src="https://cf-courses-data.s3.... | 4. Deep Neural Networks with PyTorch/4. Softmax Rergresstion/4. multiple_neurons.ipynb |
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# # Consensus Signatures
#
# A consensus signature can... | 1.Data-exploration/Consensus/L1000/L1000_moas_median_scores_calculation.ipynb |
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import molsysmt as msm
molecular_system = msm.convert... | sandbox/Test_MolSysMT_Info.ipynb |
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# # Deep Learning Explained
#
# # Module 5 - Lab - Opt... | Module5/OptimizatonForDeepNetworks.ipynb |
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class TicTacToe:
def __init__(self):
s... | python3.6/Tic-tac-toe.ipynb |
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import numpy
import theano.tensor as T
from theano imp... | Lisa Lab tutorials/Theano Basics/ Basic Tutorial-1.ipynb |
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# author=cxf
# date=2020-8-8
# file for filter and... | model_training/2.extract_features/1.filter_and_merge_data.ipynb |
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import numpy as np
import pandas as pd
import tens... | src/spectralParameterization-Notebooks/2.1Spectral_Representation_ConvolutionLayer-test.ipynb |
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# +
import numpy as np
import pandas as pd
import os
i... | EDA/.ipynb_checkpoints/similar_words_by_word2vec_or_tsne-checkpoint.ipynb |
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# # 更多字符串和特殊方法
# - 前面我们已经学了类，在Python中还有一些特殊的方法起着非常重要的作... | 7.24.ipynb |
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#import dependencies
from bs4 import BeautifulSou... | mission_to_mars.ipynb |
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# ### 数据归一化
import numpy as np
import matplotlib.pypl... | data/scaling.ipynb |
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using Plots;
gadfly();
include("../fdtd/update.jl... | tasks/Task3_Zero_Reflection_TFSF.ipynb |
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# Run ExtractPhyloWGSResults.py and Rscripts/Proce... | notebook/HGSOC/OV2295_SS3_Evaluation.ipynb |
# -*- coding: utf-8 -*-
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options(warn=-1)
shhh <- suppressPackageStar... | P3/p3.ipynb |
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# + id="L9OiyQHo3YhE"
import pandas as pd
# + id="xM4nKtiR3xe-"
df = pd.read... | US Cars Dataset/US_Cars_Analysis.ipynb |
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# # Boolean Assigmnet
a = True #Declare a... | Amrita/Boolean_Assisgment.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
fr... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# %matplotlib inline
import spiceypy
import math
... | spiops/test/.ipynb_checkpoints/spirec_sketch-checkpoint.ipynb |
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# # Introduction librairies sklearn, pandas
# - Pandas... | formation/TP-01-Python pour Data Scientists/ml_housing-Correction.ipynb |
(* -*- coding: utf-8 -*-
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(* name: ioc... | Salle_devoir_surveille/Salle_devoir_surveille_OCaml_solution.ipynb |
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# ## Face Generation Demo
#
# This notebook demonstrat... | demo.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | KushRawal_Kaggle_Lambda - Copy.ipynb |
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import pandas as pd
import numpy as np
import os,glob
... | analysis/supervised learning on lda with RF - 02.ipynb |
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# ### Movies for Along Shelf Flux
# +
#KRM
import n... | MoviesNotebooks/MoviesTransportAlongShelf.ipynb |
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# + [markdown] extensions={"jupyter_dashboards": {"ver... | BMI565_Data_Visualization_&_Interactivity_with_Ipython_Widgets.ipynb |
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# + [markdown] colab_type="text" id="TCXpDyvdn_XX"
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# name: conda-env-unidata-python-workshop-p... | notebooks/CF Conventions/NetCDF and CF - The Basics.ipynb |
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# # Pipeline without Text C... | 07-Pipeline_without_clustering.ipynb |
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// # Load your own MXNet BERT model
//
// In the... | jupyter/mxnet/load_your_own_mxnet_bert.ipynb |
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# ## <center> Slice in a volume bounded by an isos... | 16-Brain-slice.ipynb |
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# +
def total_1(m,n):
i=0
k=n-m
while i < ... | chapter2/homework/computer/3-29/201611690535(1).ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | 09-LinearRegression1/09-LinearRegression1_Activity.ipynb |
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# # Telecom churn - Case study
# Team members:
# ... | telecom_churn.ipynb |
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# # CNN for Classification
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# In this and the nex... | Intro-To-Computer-Vision-1/1_5_CNN_Layers/4_2. Classify FashionMNIST, solution 1.ipynb |
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import sys
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import ceo
i... | notebooks/FDSP_control.ipynb |
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os.environ['CUDA_VISIBLE_DEVICES'] = ''... | session/squad/prepare-squad-dataset-xlnet.ipynb |
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# + [markdown] origin_pos=0
# # 概率
# :label:`sec_prob`
#
# 简单地说，机器学习就是做出预测。
#
# 根据病人的临床病史，我们可能想预测他们在下一年心脏病发作的*概率*。
# 在飞机喷气发动机的异常检测中，我们想要评估一组发动... | d2l/mxnet/chapter_preliminaries/probability.ipynb |
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# + id="CzfwhS6KNKKH" executionInfo={"status": "ok", "timestamp": 16060054846... | assignment_07/poetrybywords.ipynb |
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# # Atividade Integradora
import findspark as fs
fro... | hist/Processamento Yelp 02jul.ipynb |
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# # Mixed precision training
# This module allows the... | docs_src/callbacks.fp16.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled13.ipynb |
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import cv2
import numpy as np
from tqdm import tqdm
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# # Dataquest Guided Project: Profitable App Profiles ... | Guided Project–Profitable App Profiles for the App Store and Google Play Markets.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# <i>Copyright (c) Microsoft Corporation. ... | examples/03_evaluate/als_movielens_diversity_metrics.ipynb |
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# + active=""
# ## Characteristics of New Housing
#
# ... | 1-Data_Prep.ipynb |
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# <h1>Reboot: Box-Plots for Education Competition</h1>... | Box-Plots for Education.ipynb |
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# <a href="https://colab... | demo/gsheet_demo.ipynb |
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# # Data analys... | notebooks/part-1-analyze-customer-data.ipynb |