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# # Convolutional Neural Networks: Step by Step
# ###... | CNNStepByStep.ipynb |
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# #### Removing Data Part II
#
# So, you now have seen... | CRISP_DM/Removing Data Part II.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# ## ... | notebooks/07_Regulaere_Ausdruecke.ipynb |
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# # 'River meanders and the theory of minimum varianc... | tutorials/Note_River meanders and the theory of minimum variance.ipynb |
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# # "A Comparison of TF-IDF, Word2Vec, and Transfer Le... | _notebooks/2020-10-31-Text-Classification-Comparison.ipynb |
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# + [markdown] deletable=true editable=true
# ## Impor... | Jutai_migration_rates.ipynb |
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# # %load toxicavenger.py
import numpy as ... | .ipynb_checkpoints/toxic-checkpoint.ipynb |
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# # Tirgul 7- Decision Tree and Random Forest
# +
imp... | tirgul_7.ipynb |
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# # Training on Cloud ML Engine
#
# **Learning Objecti... | courses/machine_learning/deepdive/05_review/5_train.ipynb |
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# + id="SvQXkW3vDEKZ" colab_type="code" outputId="855b5274-b7a0-45e4-e404-6be... | Iris Classification.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W2D5_GenerativeModels/W2D5_Tutorial1.ipynb |
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# # 關於 Movielens 協同舉薦作業
#
# ### 檔案說明
# > 第一部分使用用戶協同推薦算... | movielens/work.ipynb |
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import requests
import ultron8
from ultron8 import debugger
from ultron8 ... | example_notebooks/session-debug-notebook.ipynb |
// -*- coding: utf-8 -*-
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// --... | JupyterNotebooks/Lessons/Lesson 4.ipynb |
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# **Chương 5 - Máy Vector Hỗ trợ**
#
# _Notebook này c... | 05_support_vector_machines.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="U4eQ_Ck5wStf" outputId=... | DataProcessing/ProcessNewData.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Udemy/Refactored_Py_DS_ML_Bootcamp-master/17-K-Means-Clustering/03-K Means Clustering Project - Solutions.ipynb |
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# + id="intelligent-american" outputId="48187e6e-d2bb-... | models/2-Gleb/SecondWinnerGleb_1_kidney.ipynb |
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# # Object-Oriented Programming
# We've talked about ... | Object Oriented Programming/Object-Oriented Programming.ipynb |
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# # Introduction to the Dataset
# Many American cities... | PredictingBikeRentals.ipynb |
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#
#... | notebooks/6-jmk-machine learning data as is.ipynb |
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from tensorflow.examples.tutorials.mnist import input_... | Digit+recog+v2.ipynb |
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# # ML Pipeline Preparation
# ### 1. Impor... | ML Pipeline Preparationm.ipynb |
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# + [markdown] id="Fb2i1jZ-nHKa"
# # Course Outline
# * Step 0: 載入套件並下載語料
#... | hocor2020/notebook/session-5.2.ipynb |
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# ## Goal
# The main purpose of this notebook is to de... | notebook/prepare_phenotype_and_run_gwas-with_variant_qc.ipynb |
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# #### Note:
# - I removed adni from labels, becau... | exp08.1-select_pos_neg_candidates.ipynb |
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# # Bar Graph for Multiple Genes given from RNA Sequen... | Bar Graph for Multiple Genes.ipynb |
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# + [markdown] id="MyyEW_2tWK5J"
# #INITIALIZING DRIVE
# + colab={"base_uri"... | notebook/Split_generator.ipynb |
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# ### This notebook demonstrates the use of post-class... | demo_notebooks/MapBiomas_Spatial_Temporal_Filters.ipynb |
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# # T... | Tutorial-3_Synapses-and-Networks/Synapses.ipynb |
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# # Chapter 1: Life Satisfaction
#
# This notebook con... | notebooks/chapter-1.ipynb |
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# # Javascript library in a notebook: pig
#
# Tries [p... | _doc/notebooks/nb_pig.ipynb |
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import os
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import nu... | HeteroEncoder_analyse.ipynb |
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# db = int(input('Database ID (2 for 4 chamber and... | examples/cmri_mpca/CMR_PAH.ipynb |
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from __future__ import print_function
import nilmtk
im... | notebooks/extract_activations.ipynb |
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import numpy as np
import nibabel as nb
# %pylab inlin... | 2_WM_Segmentations_and_correlations.ipynb |
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import pandas as pd
# + pycharm={"... | simulations/load_paths_deta_tau_angle.ipynb |
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# # N... | intro_python/python_tutorials/jupyter-notebook_intro/Using Nbconvert.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/main/python/SupportVectorMachines.ipynb |
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# ## Statistical Outlier Removal filter
#
# 본 챕터에서는 No... | docs/500-noise-filter/510-Statistical_filter.ipynb |
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# # Drought Prediction in the Mediterranean
from sklearn.ensembl... | withHeatFlux.ipynb |
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# ## MNIST
#
# MNIST stuff.
# ## Get Data
#
# from A... | dev/mnist/remote.ipynb |
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# [Источник](https://github.com/georgeliu1998/tf_and_c... | Lectures notebooks/(Lectures notebooks) netology Machine learning/14. Introduction to neural networks/tf_and_colab.ipynb |
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# + [markdown] id="OUMmqbXU9-nh" colab_type="text"
# Даны значения зарплат из... | lesson3/lesson_3_DZ.ipynb |
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# # Extract Medals data using Pandas
# +
import reque... | Scraping/DataExtraction/.ipynb_checkpoints/ExtractDataScript-Copy1-checkpoint.ipynb |
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# %pylab inline
import re
import math
import string
im... | Home Work SpellChecker.ipynb |
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# # Case 3. Downloading and extracting the dataset
# <... | Case 3. Downloading and extracting the dataset.ipynb |
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# # Datasets
#
# ## 機器學習資料集/ 範例一: The digits dataset
#... | Datasets/ipython_notebook/ex1_the_digits_dataset.ipynb |
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import argparse
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# + id="7TIu55xv_yax"
import pandas as pd
url='hamilton-air-quality.csv'
data... | Backend/mackhacksairquality.ipynb |
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# # 4. Classifying the P300
#
# The first tutorial cov... | eeg-bci/4. Classifying the P300.ipynb |
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# %matplotlib inline
#
# Compile Keras Models
# =====... | exp/tvm_jupyter/nnvm/from_keras.ipynb |
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participants = ["ALLAOUI", "CIRG_UP_KUNLE", "OMEG... | submissions/.ipynb_checkpoints/evaluation-checkpoint.ipynb |
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# ## Setup
import torch
from torch import tensor
impo... | content/units/04models/lab/lab04-walkthrough.ipynb |
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# title: "DataFrames counting"
# date: 2020-04-12T14:41:32+02:00
# author: "<NAME>"
# type: technical_note
# draft: false
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# + [markdown] id="MfBg1C5NB3X0"
# # Distributed training with TensorFlow
#
#... | courses/machine_learning/deepdive2/production_ml/labs/distributed_training_with_TF.ipynb |
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from matplotlib import pyplot as plt
import math
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# # Evaluate different architecture
#
# Here we set up... | Multy_Layer_Perceptron.ipynb |
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# Import the necessary packages.
from Images2Movie... | Images2Movies/RUNME.ipynb |
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# + [markdown] id="3lkHZaiYCYt0" colab_type="text"
# #... | gan-mnist/MNIST_GAN_Exercise.ipynb |
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# # LSTM Stock Pred... | Starter_Code/.ipynb_checkpoints/lstm_stock_predictor_closing-checkpoint.ipynb |
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# hash: df955ce39d0f31d56d4bb2fe0a613e5326ba6072... | gallup_runs.ipynb |
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# + id="zX4Kg8DUTKWO" colab_type="code" colab={}
#@title Licensed under the A... | Week 2/NLP with Tensorflow/Week_4_Poetry.ipynb |
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# + [markdown] id="7znzR-dT0PQY" colab_type="text"
# # Cornell Box + Path Tra... | cornell_box_pt_numpy.ipynb |
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from unet import *
model=unet(input_size=(144,144,1))
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# ### clinvar missense prediction w/ feature intersect... | notebooks/clinvar_test_focus_pos_wo_training.ipynb |
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# `wsgiref.sim_server` 모듈로부터 `make_server` 함수를 가지고 옴
... | simple_wsgi.ipynb |
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# # Hospital General Information from Hospital Compare
#
# The main CMS ... | HospitalCompare/readHospitalGeneralInformation.ipynb |
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# hash: 67b393f23005f5647497c50fa99fb2... | applications/test/dbsReactiveThermalFoam/TimeSplitting/differentCokeCombustionODESolvers/reactiveThermalValidations_4thRK/validate/validate.ipynb |
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import numpy as np
import seaborn as sns
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# ## Working with functions
# In this exercise we wil... | notebooks/2_python_basics/4_working-with-functions.ipynb |
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# Analyze Orcas Queries in Anchor Context
# -
# !... | src/jupyter/analyze-orcas-queries-in-anchor-context.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import smatrix as sm
filename = ''
data = sm.Spar... | examples/new_interface.ipynb |
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# # scikit-learn中的逻辑回归
# +
import numpy as np
import ... | c6_logistic_regression/07_Logistic_Regression_in_scikit_learn.ipynb |
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# <style>div.container { width: 100% }</style>
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set.seed(1)
x = rnorm(100)
eps = rnorm(100, mean=0, sd=0.25)
y = -1 +... | Chapter3/Exercises/Ex13.ipynb |
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# DON'T
def function():
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# # KNN-CLASSIFIER for teleCustomer
# <h4>The K- Near... | Classifier/KNN-Classifier.ipynb |
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# _You are currently looking at **version 1.1*... | Assignment/Assignment+1.ipynb |
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# ## Datetime - epoch is from Unix time 0 (midnight 1/... | PS2.ipynb |
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# # How to store a light curve in FITS format?
#
# Onc... | docs/source/tutorials/2.08-making-fits-files.ipynb |
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# # CompEngine dataset analysis
# ## Analysis #4: Get ... | 4_extracting_mtf_tsmfe/tspymfe_mtf_extraction.ipynb |
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# + id="k_5UhNA8gI5N"
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# + [markdown] id="x1MC8MkgV2gW" colab_type="text"
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# # Numpy Tutorial
# > A tutorial on Numpy
#
# - ... | _notebooks/2021-04-30-Numpy Tutorial.ipynb |
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# ## Analyze A/B Test Results
#
# This project... | Project 4 - Analyze A-B Test Results/Project 4 - Analyze AB Test Results.ipynb |
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# # FloPy $-$ MODFLOW 6
#
# ## Plotting Model Arrays a... | examples/Notebooks/flopy3_mf6_plotting_freyberg.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 28septiembre.ipynb |
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# ## Homework 01. Simple text processing.
# %load_ext... | homeworks/homework01/homework01_texts.ipynb |
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import json
import pandas as pd
import numpy as np... | eda/12-yelp-api-json-to-dataframe.ipynb |