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// -*- coding: utf-8 -*-
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// ![xleaf... | notebooks/LayerGroup.ipynb |
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# ## Beer Production
#
# Forecasting the beer prices
... | Projects/Misc - Machine Learning/EDA/TT_Beer_Production.ipynb |
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# + [markdown] id="MHkcIl4E-Fgf"
# # Tutorial: TF-Ranking for sparse features... | tensorflow_ranking/examples/handling_sparse_features.ipynb |
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# hash: 3f857618d8b6a3d270a8a45aea13fd0dc2a28a90... | linear/fisher.ipynb |
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# !pip install psycopg2-binary
conn_string... | scripts/accounts.ipynb |
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# # Appendix — How the Ju... | content/99. Technical Appendices/99.1 nbev3devsim notebook architecture.ipynb |
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# # !wget https://huseinhouse-data.s3-ap-southeast... | pretrained-model/xlnet/tokenizer/preprocessing-parliament.ipynb |
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# # 0.0. IMPORTS
import pandas as pd
import inflectio... | m02_vid01_store_sales_prediction.ipynb |
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from rdkit import Chem
# %timeit m = Chem.MolFromSmil... | Tom/RDkit_tests.ipynb |
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import os
import sys
import glob
import matplotlib... | small_run/data analysis.ipynb |
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(ql:quickload :cytoscape-clj)
... | examples/layouts.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ## Steps... | AnalysisAndViz.ipynb |
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# + id="jAUXOqe33I-o"
Файл Test_data.csv, содержащий в себе данные о платежны... | Big data analysis/For_DIfferent_Stuff/Cognive/Interview.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Marketing Dataset_.ipynb |
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# + [markdown] id="UW2AmzvGJbq4" colab_type="text"
# #Installing and Importin... | Day 5/Sentiment_Analysis.ipynb |
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# **Prj02.** (L04) This is an application of BSM evalu... | src/MA6628_JiaminJIAN_Prj02.ipynb |
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# + [markdown] id="FmghCVDvVPao"
# # **Task discription:**
#
# ---
#
#
# Set-... | vegetation_reflecance_simulation_v1.ipynb |
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// %classpath add jar ../../resources/ja... | test/ipynb/groovy/Classpath_magic_autocoplete.ipynb |
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# # American Gun Deaths
import csv
import datetime
f ... | American Gun Deaths.ipynb |
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from nltk.tree import Tree
import nltk
from benepar2 i... | src/.ipynb_checkpoints/tagging experiements-checkpoint.ipynb |
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# ### Лекция 6. Контейнеры и итераторы
# https://en.c... | 2021/sem1/lecture_6_containers_iterators/lecture.ipynb |
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from IPython.display import Image
# + [markdown] nbpr... | Tutorials/CNTK_103B_MNIST_LogisticRegression.ipynb |
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# # Forecasting Simple Time-Series
# This example sho... | docsrc/source/_static/Examples/DCF/Forecasting/Simple/Forecast Sales COGS Simple.ipynb |
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# ## 機器學習100天——第4-6天：邏輯迴歸 (Logistic Regression)
# --- ... | ipynb_zh-TW/Day 4-6 - Logistic_Regression.ipynb |
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import os
import keras
import tensorflow as tf
import ... | grad_cam_activation_map.ipynb |
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# dependencies
import pandas as pd
import numpy as np
... | Mission_to_Mars/.ipynb_checkpoints/mission_to_mars-checkpoint.ipynb |
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# # NumPy: матрицы и операции над ними
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# В это... | 01_math_and_python/02_matrix_operations.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/Supervised.ipynb |
# ##### Copyright 2021 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/graph/assignment_linear_sum_assignment.ipynb |
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# ## SQLAlchemy
# - python에서 사용하는 ORM
# - ORM이란
# ... | 2018_07_27_SQL_ALCHEMY.ipynb |
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# + pycharm={"is_executing": false}
import jenkspy as ... | ClassCodes/11Esfand.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | index.ipynb |
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# # papeles package - institutions networks per topics... | scripts/papeles - institutions and topics analysis.ipynb |
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import pandas as pd
import cv2
import numpy as np
from... | data_analysis/.ipynb_checkpoints/preprocessing_full-checkpoint.ipynb |
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#
# # 2D Line of Best Fit
#
# ### Fit a li... | Mathematics/Linear Algebra/Python Visualization Notebooks/scikit-spatial/plot_line_2d.ipynb |
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# [Language Use <](2_Languages.ipynb) | [> Noteb... | analysis_notebooks/3_Owners.ipynb |
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# + id="Z03qx2oKw0CO" colab_type="code" outputId="c8cd5134-2167-4bb8-b991-e9f... | matrix_one/day5woman.ipynb |
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# # Unit Test for C/C++
#
# Unit testing frameworks fo... | notebook/Unit7-A-UnitTest_CPP.ipynb |
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# %% [markdown]
#
# ... | HARK/BayerLuetticke/notebooks/OneAsset-HANK.ipynb |
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# ## k2-261
import sys
sys.path.append('/home/jp/gith... | notebooks/k2-261.ipynb |
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# # `compute-grad-PyTorch`
#
# Task: compute the gradi... | static/fundamentals/compute-grad-PyTorch_soln.ipynb |
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# +
#default_exp nbtemplate
# +
#all_flag
# remove this cell to use with tes... | 03_nbtemplate.ipynb |
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import numpy as np
import tensorflow as tf
# __Forwa... | Hidden Markov Model.ipynb |
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# # Textual Similarity
#
# This notebook is de... | 07-Textual-Similarity/01-Textual-Similarity.ipynb |
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# <font size="4" face="verdana" color="red... | BraineryByte_OpenSeesPyGraphics_IntegrationPointCurvatures.ipynb |
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# # Plotting the clusters into the folium map
# # clu... | meeting points.ipynb |
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from transformers import DistilBertTokenizer, DistilBe... | tse-rnn.ipynb |
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# # Now You Code 2: Paint Pricing
#
# House Depot, a b... | content/lessons/04/Now-You-Code/NYC2-Paint-Matching.ipynb |
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# # Modeling and Simulation in Python
#
# Case Study: ... | code/queue.ipynb |
# -*- coding: utf-8 -*-
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# # EEP/IAS 118 - Coding Bootcamp, Part 2
#
# ##... | Spring2020-J/Sections/Coding Bootcamp/Coding Bootcamp Session Part 2a.ipynb |
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# # Minimum cost path
import sys
def minCost(cost, ... | 26 DP-2/min_cost_path.ipynb |
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# %matplotlib inline
#
# PyTorch: 张量和自动梯度
# ---------... | build/_downloads/e3bb4787757a08beb7c577b09c259829/two_layer_net_autograd.ipynb |
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import re
file = open("/Users/anilkumar/projectEEG/ro... | MRNA.ipynb |
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import numpy as np
import pandas as pd
ser = pd.Serie... | 23 - Python for Finance/1_Useful Tools/11_Importing and Organizing Data in Python - Part II (7:01)/Importing and Organizing Your Data in Python - Part II - Lecture_Yahoo_Py2.ipynb |
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# Dependencies
# ---------------------------------... | jupyter_notebook_code/database_update_create.ipynb |
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import numpy as np
from sif.kernels import SquaredExpo... | examples/gaussian_process/Gaussian Process Classifier.ipynb |
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# # Bayesian Hierarchical Linear Regression
# Author: ... | notebooks/source/bayesian_hierarchical_linear_regression.ipynb |
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# Tutorial 6: More Ray Tracing
# =====================... | howtolens/chapter_1_introduction/tutorial_6_more_ray_tracing.ipynb |
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import gc
import time
import numpy as np
import pandas... | Mercari Price Suggestion Lightgbm.ipynb |
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import pandas as pd
import numpy as np
from datetime i... | Final_Try_BOND_65.40.ipynb |
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# # Segmentation with clear and with noisy background ... | notebooks/segmentation_with_noisy_background.ipynb |
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# Two strings are anagrams of each other if the letter... | Interview Preparation Kit/2. dictionaries and hashmap/7. sherlock and anagrams.ipynb |
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# ... | Movie Recommender System.ipynb |
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# #### Main Pipeline
# By: <NAME>
# +
import ... | notebooks/main_pipeline.ipynb |
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# # Monitor german credit risk model with Watson OpenS... | cloud/notebooks/python_sdk/monitoring/Monitor credit risk model with Watson Openscale.ipynb |
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# source: https://www.kaggle.com/kyakovlev/... | accuracy/M5_Three_shades_of_Dark_Darker_magic/feature_engineering_for_mean_encoding_categorial_values.ipynb |
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# ## Example to run the vegetation grow model adapted ... | examples/Run_model_singlearea.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | .ipynb_checkpoints/Kalman_Space_Ship-checkpoint.ipynb |
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# ### Custom WikiCorpus
# * [tutorial](https://github.... | preparation/train-doc2vec.ipynb |
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# This notebook is forked from **<NAME>**'s original n... | chapter03/DecisionTree.ipynb |
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import torch
from torch import nn
# + pycharm={"name"... | Deep-Learning-Notes/4 Calculation/4-Gpu-Calc.ipynb |
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# # Turtle graphics
#
# * https://docs.python.... | TurtleSimplest.ipynb |
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# + id="gL8mdWHkD_fU"
from sklearn.datasets import fetch_openml
from sklearn.... | Tarea_2.ipynb |
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# # Subplots
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import matplotlib.pyplot as plt
imp... | plotting/Week3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Geron_Chap_10_2.ipynb |
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import pickle
import glob
import os
import nump... | tsc/process_datasets.ipynb |
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import sys
sys.path.append("../")
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# # Rain Analysis
# ### Purpose
# This notebook will l... | notebooks/2.1.3-rec-snow-depth-analysis.ipynb |
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# [<NAME>](https://orcid.org/0000-0001-7225-9992),
# Profes... | system_properties_ct/groupdelay_AB91F8317C.ipynb |
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# + [markdown] id="ItXfxkxvosLH"
# # TensorFlow and Te... | docs/2notebook/Example_0_tensorflow.ipynb |
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from matplotlib import pyplot as plt
from matplotlib i... | Examples/DETcurve.ipynb |
# -*- coding: utf-8 -*-
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# # Ansibleのセットアップ
#
# Kafkaコネクタのセットアップ... | server/kafka-connect/000-Ansibleのセットアップ.ipynb |
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import cv2
face_classifier = cv2.CascadeClassifie... | detect_face_video.ipynb |
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import pandas as pd
shared_link = 'https://dl.b... | standby.ipynb |
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# # Longest common subsequence (LCS)
#
#
#
# The longe... | Sequences/Longest Common Subsequence.ipynb |
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# # Ridge and Lasso Regression
#
# Ridge ... | Unit04/Ridge and Lasso Regression.ipynb |
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# ### Preliminaries
# +
# Show all figures inline.
... | opc_python/gerkin/prediction-limits.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Machine Learning Models/UnSupervised Learning/Clustering/code.ipynb |
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# In this example we will see how to use MiniSom to cl... | examples/Clustering.ipynb |
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# #!/usr/bin/python
import hashlib
import re
sal... | Day 04/AoC - Day 4 The Ideal Stocking Stuffer.ipynb |
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# # Core Proteome
DATE_TASK = "2022-03-06-ecoli-p... | _research/2022-03-06-ecoli-phapecoctavirus-core-genome.ipynb |
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# 1 Crie um programa que recebe uma lista de números e... | Ex02.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | Python-Data-Cleaning-Cookbook-master/4_OutliersMultivariate/outliers_univariate.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MRST_inside_colab.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ProjectMicrobe.ipynb |
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# Copyright (c) ... | notebooks/.ipynb_checkpoints/04_CreateImage-checkpoint.ipynb |
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# %load_ext nb_black
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from pymongo import MongoCl... | services/dataprocessing/test_modules/Dimensionality Reduction.ipynb |
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# # Clean Forward Returns
# ## Install packages
impo... | lesson-27/clean_forward_returns.ipynb |
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# # 2. Markov chains and their stationary distribution... | notebooks/02_markov_chains.ipynb |
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from collections im... | CodeChef/CHNGIT.ipynb |