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# # Анализ данных на Python
#
# ### Семинар 6. Множест... | sem06_dict/2011_sem06_set_dict.ipynb |
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# # Mastering PyTorch
#
# Edited by <NA... | 3. Learning-Pytorch/1.3. what_is_torch.nn_really.ipynb |
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# + id="l661l2MGzKN_" colab_type="code" colab={}
# !mkdir -p "/content/drive/... | Day_1_car_prices_forecasting.ipynb |
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# ... | third_party/rlkit_library/notebooks/train_goalBC_sim_relabeled.ipynb |
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# <i>Copyright (c) Microsoft Corporation. All ... | examples/02_model_hybrid/ncf_deep_dive.ipynb |
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# Load the data
import pandas as pd
X = pd.read_cs... | Exercise02/Exercise02.ipynb |
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# + id="IDuphEV0ufdm" colab_type="code" colab={"base_uri": "https://localhost... | Time_series_analysis/ts_moving_avg.ipynb |
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# <table width="100%"> <tr>
# <td style="back... | bronze/.ipynb_checkpoints/B06_Coin_Flip-checkpoint.ipynb |
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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "ddba1d47-1f8d-483d-8d80-b9d493276c9e", "showTitle": false, "title": ""}
d... | pySpark/Multiclass classification_Alt_Last_Layer.ipynb |
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# # Predicting Boston Housing Price... | Tutorials/Boston Housing - XGBoost (Batch Transform) - Low Level.ipynb |
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# + [markdown] colab_type="text" deletable=true editab... | notebooks/ml_fairness_explainability/explainable_ai/labs/xai_structured_caip.ipynb |
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import os
import glob
... | test3.ipynb |
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# # Intensity Resolution Def... | d210127_cr_calculators/resolution_definition.ipynb |
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# ## <center> Real Time Stock Price Prediction</center... | final stock price prediction.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | Build Function to Explore Space.ipynb |
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# We have some models that are trained on a subset of ... | notebooks/predictions.ipynb |
# -*- coding: utf-8 -*-
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# Lists are the R objects which contain elements... | 6. R - Lists.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
from imgaug i... | keras-unet-linknet/unet_fold1.ipynb |
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# + [markdown] colab_type="text" id="view-... | notebooks/extras/X2_Airbnb.ipynb |
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# # Softmax Sklearn CIFAR10
# +
# import the necessar... | notebooks/deep-learning-for-computer-vision-with-python/109_Softmax_Sklearn_CIFAR10.ipynb |
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# # RNN for Classifying Names
# In this n... | 7_RNNs_ClassifyNames.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | DS_Sprint_Challenge_7a.ipynb |
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# +
# %load_ext autoreload
# %autoreload 2
# %matplotl... | notebooks/publications/old/fig5_dnf_analysis_and_illum_opt.ipynb |
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# + [markdown] id="Rkh-DMFHRIuF"
# # Demo of pre-trained anime character iden... | examples/demo_oml.ipynb |
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# install py2neo to connect python to the platform... | JupyNeo4j/KnowledgeRepresentationEntities.ipynb |
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import torch
import torch.utils.data
from torch.autogr... | project_cnn_run_2.ipynb |
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import pandas as pd
import os
from datetime import da... | analyse_csv.ipynb |
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# + [markdown] id="view-in-github" colab_t... | AlphaFold2.ipynb |
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# name: python388jvsc74a57bd046e16dc5765237a024e1f11c34a9a67322... | hotels.ipynb |
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# # SARIMAX: Introduction
# This notebook replicates ... | examples/notebooks/statespace_sarimax_stata.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | unsupervised/03_association_rules/02_apriori.ipynb |
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# # TO-DO LIST
# - Label Smoothing
# - https://w... | Cassava Leaf Disease Classification/code/10. FixMatch(SEDD_719).ipynb |
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# # Character level language model - Dinosaurus Island... | courses/Sequence Models/WEEK 1/Dinosaurus_Island_Character_level_language_model_final_v3a.ipynb |
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# # First Deep Learning Model
import numpy as np
# %m... | course/1 First Deep Learning Model.ipynb |
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# # Using Telen VanBarel construction to solve for roo... | CHEBYSHEV/DEMO.ipynb |
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import pickle
import pandas as pd
import numpy as np
impor... | jupyter_notebooks/make_training_set_multicore.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | training/02.distributed-pytorch-with-horovod/02.distributed-pytorch-with-horovod.ipynb |
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# + [markdown] toc=true
# <h1>Table of Con... | code/.ipynb_checkpoints/NN_based_models_v4-3-checkpoint.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | online_judges/merge_ranges/merge_ranges_solution.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | traffic_sign_classifier_project.ipynb |
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import pandas as pd
import numpy as np
import matp... | Trang/heart_disease_exploratory.ipynb |
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# # 2-2 Intro Python Practice
# ## Lists
# <font size=... | Python Fundamentals/Module_2_Practice_Python_Fundamentals.ipynb |
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# <h1>The median and average home values across all Bo... | analyze_data_set.ipynb |
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import pybaseball
df = pybaseball.batting_stats_bref(2... | statsmerge.ipynb |
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from __future__ import absolute_import
from __futu... | models/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
# Written by <NAME> for CoderDojo Twin Cities - www.coderdojotc.org
def write ( minecraft, text, material ):
letters = { 'A' : [[1,0,0,1],[1,0,0,1],[1,1,1,1],[1,0,0,1],[0,1,1,0]],
'B' : [[1,1,1,0],[1,0,0,1],[1,1,1,0],[1,0,0,1],[1,1,1,0]],
'C' : [[0,1,1,0],[1,0,0,1],[1,0,0,0],[1,0,0,1],[0,1,1,0]],
... | classroom-code/examples/minecraft_letters.ipynb |
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# # Keyboard Shortcuts
# + language="html"
# <style>
... | docs/notebooks/00 Keyboard Shortcuts.ipynb |
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# + [markdown] colab_type="text" id="9w0LU6S7GGEr"
# #... | lectures/lecture0.ipynb |
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import pandas as pd
import numpy as np
import json
js... | examples/cobi_bike/processing_cobi_data.ipynb |
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/ + [markdown] azdata_cell_guid="e1f157c0-5... | TSQL/BI Metrics in PoBI vs SQL.ipynb |
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# + [markdo... | so-co2-airborne-obs/_prestage-obs/process_aircraft_pfp.ipynb |
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# # GooPyCharts Demo Notebook
# ## Import GooPyCharts
... | MachineLearning/gpcharts test.ipynb |
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# ## Recap
# So far, you have loaded your data and rev... | learntools/machine_learning/nbs/ch3-testing.ipynb |
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import sys
#sys.path.insert(0, '/Users/c... | weekday_analytics/weekday_analytics.ipynb |
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# # Employing Naive Bayes Classifiers to d... | 2.3 -- Testing Naive Bayes for demographic groups.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | prac1.ipynb |
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# ## Demo 3: HKR classifier on MNIST dataset
#... | doc/notebooks/demo3.ipynb |
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# + id="zeHYl-s4UUnj" colab={"base_uri": "https://localhost:8080/"} execution... | assignment2/TensorFlow.ipynb |
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# ### Note
# * In... | PyCitySchools/PyCitySchools_starter.ipynb |
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# # Purpose
#
# Convert RGBA PNG image to a gray... | python/images_convert_RGBA_to_gray.ipynb |
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# + [markdown] kernel="SoS"
# # Can I define steps in separate fi... | src/user_guide/external_scripts.ipynb |
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# + [markdown] colab_type="text" id="G8sAZl707dlV"
# #... | music_chord_progression.ipynb |
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# # Hacker News post mining for show HN and Ask HN pos... | HackerNews.ipynb |
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# ###This notebook covers:
# ###Lesson 2A-L1 Images as... | .ipynb_checkpoints/Lesson 2A-L1-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="7je53AV_Spq9"
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebook/Practical_Guide_to_Sentence_Transformers.ipynb |
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# + id="wH_vQSTZ0SsW"
import pandas as pd
import numpy as np
import tensorflo... | ANN_churn.ipynb |
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import pandas as pd
import seaborn as sns # Why sns?... | notebooks/Visualization-1.ipynb |
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# # Automated Machine Learning
#
# #### Forecasting... | how-to-use-azureml/automated-machine-learning/forecasting-forecast-function/auto-ml-forecasting-function.ipynb |
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# # 🖼️ Diagrams
# ## PlantUML (iPython)
import ipla... | diagrams.ipynb |
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# + id="E934hrzgTSEB"
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impor... | Statistics_project.ipynb |
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import numpy as np
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import reco... | Comparison_3D_spatial_network.ipynb |
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# # %load train_cropped.py
import numpy as np
from... | train_cropped.ipynb |
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#Ref: https://github.com/Lancelotl/Gale-Shapley/bl... | Assignment1-Q9-B.ipynb |
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from fbprophet import *
# +
hadoop(자바 기반 오픈소스 프레임워크)
... | Spark.ipynb |
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import torch
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torch.ones(5,4)
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# # BitPanda
# ## Imports and Params
# +
from Ionomy... | docs/source/notebooks/bitpanda.ipynb |
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# # Text processing from the command line
#
# It's oft... | notes/text-cmd-line.ipynb |
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# %matplotlib nbagg
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from c... | notebooks/WBS_Ops_FTE_plots.ipynb |
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# # Import all the necessary libraries
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# # A2: Bias in the Data
# <NAME> <br>
# In this noteb... | data_512_a2/data_512_a2.ipynb |
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# # Univariate Distribution Similarity
#
# [![open in ... | docs/tutorials/nb_distribution_statistics.ipynb |
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import powerlaw
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# + [markdown] id="c10QRmlWYxnn"
# # 1d CNNs for sentiment classification
#
#... | notebooks-d2l/cnn1d_sentiment_jax.ipynb |
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# + [markdown] id="g3EbbVLwIJ74"
# # Horizontal DAS + ... | .ipynb_checkpoints/BradyHotSprings-checkpoint.ipynb |
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# <h2> Assignment 2</h2>
#
# <p>This time, you're goin... | Module2/02b - Data and Features Lab.ipynb |
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# %load_ext autoreload
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# # Linear Regression
#
# A simple linear regression m... | LinearRegression/hourly-weather-wind_direction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Algoritmos en cuerpos finitos
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from IPython.di... | examples/finite_fields_tests.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | others/sentiment-analysis-kernel-airline-baseline.ipynb |
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import zarr
import sys
import allel
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# ## DELETE THIS SESSION AFTER EDITING
# + language="... | notebooks_dev/03_fit.ipynb |
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# + [markdown] colab_type="text" id="HnU0fNSuG2aD"
# #... | courses/business/managingmlprojects/labs/bias_tfdv_facets.ipynb |
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from pathlib import Path as path
import os
# +
locati... | Simulations/THz/testing/.ipynb_checkpoints/pathlib_module_tutorials-checkpoint.ipynb |