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impo... | WNC Data Pull.ipynb |
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# <a id='StartingPoint'></a>
# # ONNX classif... | ONNXclassifier/onnxClassify.ipynb |
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# # Project 1
#
# # Used Vehicle Price Prediction
# #... | exercises/P1-UsedVehiclePricePrediction.ipynb |
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import cv2
import numpy as np
import matplotlib.pyplot... | notebooks/filter_crop.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lesson18_create_movie.ipynb |
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class hashSet(object):
def __init__(self, numB... | Haseeb DS/HashSet.ipynb |
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# from __future__ import print_statement
# import ... | fdcAPI.ipynb |
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import pandas as pd
import zipfile
import numpy as np
... | HW2.ipynb |
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# # Python: Advanced
# ## Classes
#
# **Classes** are... | programming_notes/_build/jupyter_execute/python_advanced.ipynb |
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# # Линейная регрессия и основные библиотеки Python дл... | supervised-learning/linreg-height-weight/peer_review_linreg_height_weight.ipynb |
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import sys
sys.path.append('../sample/')
from ann ... | test/test_mcmc.ipynb |
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# # Introduction
#
# Three groups: microsatellite inst... | python/statistics/.ipynb_checkpoints/TCGA-MSI-MSS-relative-figure-checkpoint.ipynb |
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# # Example powerbook usage
#
# In this example, we're... | examples/basic-example/Example.ipynb |
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import csv
import pickle
import datetime
from sklearn.... | team_project/OLS-almostfinal.ipynb |
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# # Lab 3: Functions and matrix algebra
# **Data Scien... | Lab_03.ipynb |
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# ## Undistort & Transform
#
# Now lets combine everyt... | 02-Camera-Calibration/.ipynb_checkpoints/Undistort&Transform-checkpoint.ipynb |
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import numpy as np
import pand... | SVM/SVM_project1.ipynb |
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# # Cart-pole Balancing Model... | reinforcement_learning/rl_cartpole_ray/rl_cartpole_ray_gymEnv.ipynb |
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import os
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imp... | notebooks/PR-MVP.ipynb |
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# # SEP Tutorial
import numpy as np
import sep
# Imp... | SEP.TUTORIAL.ipynb |
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# # Deep Learning: Fundamentals (cont.)
# ## 5. Neural... | _archived/keras/keras_2.ipynb |
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# ## Reading and Interpreting the Dataset
... | Data Bias Assignment (1).ipynb |
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# <img src="./assets/illustration.png" sty... | start.ipynb |
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# # Learning Objectives
#
# - What is Generator in Pyt... | Lessons/.ipynb_checkpoints/advance_python-checkpoint.ipynb |
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# Cargar funciones de la librería de python data a... | ScriptsAndData/.ipynb_checkpoints/isolationForest-checkpoint.ipynb |
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# Import Libraries
import numpy as np
import pand... | data output/data until 05-13-17 + night office data/Machine learning.ipynb |
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# # Clustering comparative analysis
#
# **Original cod... | Comparative_analysis.ipynb |
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... | test/34_art38_organoleptico_CONTROLE-Copy1.ipynb |
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import pandas as pd
# # Time series / date functional... | week_03/TimeData_Pandas.ipynb |
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# # 我們使用最基礎的 Gradient Descent 方法來找到y=f(x)=Wx+b 當中的 W 和... | GradientDescent.ipynb |
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# + [markdown] id="HJ0S9kEasyjc"
# ## Imports and setu... | regular-classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clean_Code_in_Python.ipynb |
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import pandas as pd
# + jupyter={"outputs_hidden"... | Project_08 (1).ipynb |
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from sklearn import datasets
from sklearn.model_se... | statistics-notebook/tests/notebooks/scikit-learn.ipynb |
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# # Data Science Internship at Widhya
# ## Mission: I... | Instagram Post Reach Predicition/Instagram_Post_Reach_Prediction.ipynb |
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# # Random Forest
#
# Before we get into the guts of ... | notebooks/.ipynb_checkpoints/Random Forest-checkpoint.ipynb |
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# # Model Agnostic explainability with KernelExplainer... | Chapter07/KernelExplainers.ipynb |
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# # Mask Generation with OpenCV
#
# ## Introduction
#
... | notebooks/Step1 - Mask Generation.ipynb |
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# # %%
# # Plots on selected mode... | Insights_potus_kld_plots_and_leaders.ipynb |
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from abc import ABC, abstractmethod
from anytree ... | topic_02/lab5.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cyberpunk2020_character_sheet_and_rolldice.ipynb |
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# This notebook was prepared by [<NAME>](https://githu... | graphs_trees/tree_height/height_solution.ipynb |
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from IPython.core.interactiveshell import ... | nbs/02_02_stocks_time_series.ipynb |
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import json
data = [json.loads(line) for line in open(... | Phase1/Project19/k-means - bounding boxes.ipynb |
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# # Interaction Ground... | learn.ipynb |
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import pandas as pd
... | subjects/diffusion maps/demos/Diffusion Maps - Annulus Dataset.ipynb |
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# ### 载入环境
from damndata.damn_geoSpider import g... | examples/.ipynb_checkpoints/scrapCode-checkpoint.ipynb |
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import math as m
def add(a,b):
return a + b
... | Topic Wise Problems/Functions/Functions.ipynb |
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# # Logic: `logic.py`; Chapters 6-8
# This notebook d... | logic.ipynb |
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# + id="k0dvbuCzd5qK"
# Model Building
from sklearn.feature_selection import ... | module3-ridge-regression/213_guided_project_notes.ipynb |
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from collections import defaultdict, Counter
from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import seaborn as... | notebooks/Блуждающие огни.ipynb |
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import pandas as pd
import numpy as np
mean_df = pd.r... | EDA-OpenData.ipynb |
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# # Wavelet Features
# ## Data Preparation
# +
impor... | feature_extraction_deep_learning/notebooks/06_data_prep_predictive_modelling.ipynb |
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# # Berea Sandstone Simulation Using PoreSpy and OpenP... | examples/notebooks/networks/extraction/predicting_effective_permeability_of_berea.ipynb |
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# %load_ext sql
# %config SqlMagic.feedback = Fals... | notebooks/Narrow to Lane County.ipynb |
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# # LambdaMART in Python
#
# This is an implementation... | notebooks/elasticsearch/tmdb/lambda-mart-in-python.ipynb |
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# + [markdown] deletable=true editable=true
# # jQuery... | notebooks/notebook_tests/jqueryui test.ipynb |
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# # 3. Model tests
# ## 3.04 Example: GradientBoost
#... | notebooks/3_model_tests/3.04_GradientBoost.ipynb |
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# # Objective
#
# # Packages
import pandas as pd
import numpy as np
import... | notebooks/diagnosis.ipynb |
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# # MAT281 - Laboratorio N°02
#
#
# <a id... | labs/lab_02.ipynb |
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## k-近傍分類器
# +
import numpy as np
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# # ECE 590, Fall 2019
# ## Problem Set 1
# * ### __... | HW1_Jupyter_template_ECE590_Bingying_Liu.ipynb |
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# ## icepyx PyPI Statistics
# Use PyPIStats library to... | doc/source/tracking/pypistats/get_pypi_stats.ipynb |
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# ## Why text is bad for you
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from datetime import date, timedelta
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# + [markdown] id="5uoyav_d-V1s"
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import tensorflow as tf
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import staintools
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from PIL import Image
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# + [markdown] id="view-in-github" colab_type="text"
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from sys import argv
from math import log, exp
fro... | code/Pens/IsoForest-Pens.ipynb |
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// [![Binder](https://mybinder.org/badge_logo... | reinforcement_learning_gym/pendulum_dqn/pendulum_dqn.ipynb |
# -*- coding: utf-8 -*-
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# # <center>Block 9: Optimal transport with entr... | ipynb_r_mec_optim/B09_entropicregularization.ipynb |
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# # Run the MICE imputation
#
# This is simply a jupyt... | step3_MICE_imputation.ipynb |
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# # Make Predictions with Linear Regression
# ## Mini-... | minilabs/make-predictions-with-linear-regression/linear_regression_minilab.ipynb |
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# # Working with raster data in python
#
#
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# # I. INTRODUÇÃO
# ## Contexto
#
# Este notebook é r... | exercises_statistic/IBGE_project/analise-estatistica-pt4.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="uKgZQAB_cS3X" outputId=... | Scratch_CNN_4_class.ipynb |
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# # Unit 5 - Financial Planning
#
# +
# Initial impor... | Starter_Code/financial-planner.ipynb |
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# ## 5-2. Quantum Circuit learning
# **Quantum Circui... | notebooks/5.2_Quantum_Circuit_Learning.ipynb |
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# # Normalization
# The `normalize` is a helper funct... | docs/tutorials/normalize.ipynb |
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# # Apple Stock
#
# Check out [Apple Stock Exercises V... | 09_Time_Series/Apple_Stock/Exercises-with-solutions-code.ipynb |
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# # ML Model Test: Ranking
#
# This is a f... | src/Ranking_Training.ipynb |
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# + id="515b43fc" outputId="5d3df113-3a59-42e5-9434-84... | titanic_classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # PyUnitWizard in your library
# *-Instr... | docs/contents/user/In_Your_Library.ipynb |
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# # Select and distribute additional Auditory Percetio... | jupyter_notebooks/9_1_round_5_annotations_out.ipynb |
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# # Sentiment Analysis
#
#
# ---
#
# With the rise of ... | sentiment-analysis/Sentiment-Analysis-Gradient-Boosting/Gradient-Boosted-Classifier_sentiment_analysis.ipynb |
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import os
EXAMPLE_DIR = os.getcwd()
os.chdir(os.path.j... | examples/franka_box_packing_extended/main.ipynb |
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# + [markdown] id="Ejys4qb9K4yp" colab_type="text"
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# # Delaying a connection with a node
#
# Nodes allow for all sorts of advanced behavior
# that is typically done by modifying the code of a n... | docs/examples/usage/delay-node.ipynb |
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# # Flux.pl
# The `Flux.pl` Perl script takes four in... | Exploration_Flux/5_Flux_script.ipynb |
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# # Iterative methods for solving linear systems
#
#
#... | notes/06a_linear_systems_iterative.ipynb |
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# # Lightning Talk Panel
#
# ## Notebooks
... | 4_Jan_2022/0_talk-1-11-2022-python-panel-rough-agenda.ipynb |
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# ### Implement from scratch
class MinHeap:
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import numpy as np
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