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# ## ENSC 813 Project
#
# # Classifying car images in ... | notebooks/nb_02_binary_classification_00.ipynb |
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import sys
import os
import numpy as np
import pan... | parsing/parse_all_transcripts_run-AgamP4.11.ipynb |
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pip install emoji
import emoji
import pandas as pd
im... | emoji prediction 14032021.ipynb |
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# # 1millionwomentotech SummerOfCode
#
# # Week 3 Intr... | summer-of-code/week-03/.ipynb_checkpoints/day2-checkpoint.ipynb |
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# As we discovered in the [Introduction](Introduction.... | examples/user_guide/Plotting.ipynb |
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# # MNIST Image Classification with TensorFlow on Vert... | notebooks/image_models/labs/2_mnist_models_vertex.ipynb |
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import os
import json
import pickle
import dateti... | facerec_segment/scores_selection.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | exercises/L03-Exercises-Solutions.ipynb |
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#Importing necessary packages in Python
# %matplo... | German-data-analysis.ipynb |
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# _You are currently looking at **version 1.1*... | Applied_ML_with_Python/Module_2.ipynb |
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import csv
import logging
import requests
from bs4 imp... | eigacom_star_rating/eigacom_star_rating_scraping.ipynb |
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#Import required libraries
import os
import argpar... | LEGO/LEGO.ipynb |
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from agent import *
from environment import *
from con... | HumanModeling/main_get_classifier_data.ipynb |
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# # Lecture 2: Story Proofs, Axioms of Probability
#
#... | Lecture_02.ipynb |
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# %matplotlib inline
import numpy as np
from matp... | baseline/Comparisons.ipynb |
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import itertools
import seaborn
import pan... | notebooks/plot_spectra_hyspex.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tarea6.ipynb |
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# **Equations**
#
# *T... | book_equations.ipynb |
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# + [markdown] id="Lpno_zUJT8ms"
# # Cryptographically secure pseudorandom nu... | examples/csprng.ipynb |
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import os
import numpy as np
import h5py
import sc... | jupyter_notebooks/FigS4.ipynb |
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# # Annotating Your Data
import holoviews as hv
import holoviews.util
hv.extension('bokeh')
# As introduced in the [Getting Started guide](.... | examples/user_guide/01-Annotating_Data.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | dataset_0/notebook/house-price-prediction-for-beginners.ipynb |
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# # Taxicab (tramcar) Problem --- Using PyMC3
#
# (Fro... | Taxicab (tramcar) Problem (from K. Murphy ML Book) Using PyMC3.ipynb |
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# ## Fetch the necessary data
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import t... | GetTheData.ipynb |
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# Alabama updates daily at 4:30pm CDT
from selenium i... | AL by county.ipynb |
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import csv
si_list = []
with open('dictionary.csv... | Untitled.ipynb |
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# <img src="https://hms.harvard.edu/themes/harvardmedi... | notebook/GWAS_tutorial_with_HMS_additions.ipynb |
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# <img src="../Pierian-Data-Logo.PNG">
# <br>
# <stron... | PYTORCH_NOTEBOOKS/01-PyTorch-Basics/03-PyTorch-Basics-Exercises-Solutions.ipynb |
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import sys
sys.path.append('../')
from tqdm import tqdm
import ma... | notebooks/prepare_npy.ipynb |
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# # Continuous Control
#
# ---
#
# Congratulations for... | Exercise_II_Continuous_Control/.ipynb_checkpoints/Crawler-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2019 The... | tools/templates/notebook.ipynb |
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# # Transform UNIONS multi-band catalogue
... | CFIS-W3/transform_mb_other.ipynb |
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# + [markdown] id="UyOeoIVvDS-I"
# # **Membership Operator in Python🐍**
# +... | Python/Operators/Python_3_3_What_are_Membership_and_Identity_Operators_.ipynb |
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# + [markdown] id="kORMl5KmfByI"
# # Advanced Au... | docs/jax-101/04-advanced-autodiff.ipynb |
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import pandas as pd
from rdkit import C... | notebooks/sdf_to_cids_smiles_mol.ipynb |
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# # Project: Part of Speech Tagging with Hidden Markov... | HMM Tagger.ipynb |
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# # Sampling of strong times
# ## I. The stron... | ipynb/StrongTimes.ipynb |
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import sent2vec
import glob
from multiprocessing impor... | s2v_sushma.ipynb |
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# We will build a Linear regression model ... | third_project/linear-regression-tutorial (1).ipynb |
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from matplotlib import pyplot
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# ## Deploy <font color='red'>For Seller t... | Steel Surface Defects Classifier.ipynb |
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import pandas as pd
import geocoder
import time
import... | .ipynb_checkpoints/lomonosovsky_vizualization-checkpoint.ipynb |
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# ## Load data using CSV
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import pandas as pd
df =... | hands-on-time-series-analylsis-python/Chapter 2/Data wrangling using pandas and pandasql.ipynb |
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import numpy as np
import xarray as xr
# #Data downlo... | First Wrf data.ipynb |
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#default_exp utils
# -
#hide
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# # How to fit a rise time to an exponential instabili... | HowTo.ipynb |
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# # Assignment 2
#
# (๑• .̫ •๑)
#
# Your last pokemon ... | assignments/assignment2/assignment2.ipynb |
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# # Homework and bake-off: Relation extraction using d... | hw_rel_ext.ipynb |
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# This Python 3 environment comes with many helpfu... | .ipynb_checkpoints/code-checkpoint.ipynb |
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# # Developing an AI application
#
# Going forward, AI... | Image Classifier Project.ipynb |
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from pyspark.sql import SparkSession
import dateti... | notebooks/Observation.ipynb |
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from pathlib import Path
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# **Chapter 11 – Training Deep Neural Networks**
# _T... | 11_training_deep_neural_networks.ipynb |
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file = 'g... | estandarizacion-nombres-mujeres.ipynb |
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# ## Import libraries
# * **Numpy** is the fundamenta... | Session 2/Data Preprocessing Code/Data Preprocessing.ipynb |
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# Companies that had a 2016 entry, ... | notebooks/Analysis.ipynb |
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# # Spam data download
# This small script will allow... | Aqueduct/lab/data_download.ipynb |
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import torch
from transformers import *
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# config ... | korquad/usage.ipynb |
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# + id="TWArjayNEra8" colab_type="code" colab={"base_uri": "https://localhost... | nb2_apprentissage.ipynb |
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# # Now You Code 4: Shopping List
#
# Write a ... | content/lessons/09/Now-You-Code/NYC4-ShoppingList.ipynb |
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import ... | notebooks/nb-preprocess-gefcom2014-solar.ipynb |
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# # Project: Identify Customer Segments
#
# In this pr... | Project_3/Identify_Customer_Segments.ipynb |
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# # Basic scVI Tutorial
# cd ../..
# ### Loa... | docs/notebooks/basic_tutorial.ipynb |
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import json
from pathlib import Path
from functools im... | src/training/2.0_model_training.ipynb |
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# # Check Environment
# This notebook checks that you ... | course/0_Check_Environment.ipynb |
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from finviz.screener import Screener
import nest_a... | Squeeze Box Parser.ipynb |
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import pandas as pd
import numpy as np
import sklearn
... | McKinsey/McKinsey bank data exploration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | test1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Victor_Araya_Act_2.ipynb |
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# # Get SEV from Corelogic File
# # University of Mi... | src/final/.ipynb_checkpoints/sev-checkpoint.ipynb |
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# + [markdown] nbgrader={}
# # Turning In Your GitHub ... | assignments/assignment13/GitHubRepos.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | WEEK_3_WORKING_WITH_DATABASES.ipynb |
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# ## Simple Linear Regression with NumPy
... | myExercises2/simple-linear-regression.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | House Prices_Advanced_Regression_Techniques_EDA.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | 1002_hyperparameter_tuning_cv_Search.ipynb |
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# # Verifications Post-analysis
# ## Lib
... | notebooks/post_analysis_checking.ipynb |
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import asyncio
from typi... | experiments/asyncio.ipynb |
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# # Tutorial for AQCEL
# ・Quantum Gate Pattern recogni... | demo/tutorial.ipynb |
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# + id="-LZqwObchh5i" colab_type="code" colab={}
# #!pip install datadotworld... | matrix_one/Day3.ipynb |
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# + [markdown] id="V8-yl-s-WKMG"
# # EfficientDet Tutorial: inference, eval, ... | efficientdet/tf2/tutorial.ipynb |
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# Importing packages
import pandas as pd
import numpy ... | ocr_classification.ipynb |
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# # Detect Bash command
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# forces CPU usage
# impo... | Code/5. detect_glomerulus_bash.ipynb |
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# ### Spell Checker Notebook
# Builds a frequencty di... | data/spell_check.ipynb |
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# %matplotlib inline
#
#
# # FreeSurfer integration w... | dev/_downloads/bd04f5896aa164e42641929000e3e800/plot_background_freesurfer.ipynb |
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# <img src="images/usm.jpg" width="480" height="240" a... | labs/C2_machine_learning/05_overfitting/04_reducir_overfitting.ipynb |
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// [this doc on github](https://github.c... | samples/notebooks/csharp/Samples/DataFrame-Getting Started.ipynb |
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# %store -r x_train
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# %store -r y... | Model_Training.ipynb |
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# ## Pandas
#
# #... | .ipynb_checkpoints/Pandas Assignment-checkpoint.ipynb |
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# # Practical examp... | Resources/Data-Science/Deep-Learning/AudioBooks NN/TensorFlow_Audiobooks_Machine_Learning_Part1_with_comments.ipynb |
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# # LAMP FPGA
# This notebook executes the LAMP model ... | src/lamp_dpu.ipynb |
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# # Table of contents
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# 1. [Load the dataset](#load_the_datas... | 03_FPMC.ipynb |
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# <i>Copyright (c) Microsoft Corporation. ... | examples/02_model_hybrid/lightfm_deep_dive.ipynb |
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# # Debugging XGBoost training jobs in real... | sagemaker-debugger/xgboost_realtime_analysis/xgboost-realtime-analysis.ipynb |
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# + [markdown] id="UrjQGgr5nUHC"
# <h1> Imports
# + i... | Reptile/Reptile_sinewave.ipynb |
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import sys
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... | investigate_feature_eng_gold_stand_gtec.ipynb |
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# # Visualizing the Titanic Disaster
# ### Introducti... | 07_Visualization/Titanic_Desaster/Solutions.ipynb |
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# # Interactive Seed ... | interactive_ClickCount_tutorial.ipynb |
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# # Lift and coverage for tops
# %run ../dstools/ml/m... | demo/lift-coverage-table.ipynb |
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# Visualization of the KO+ChIP Gold Standa... | TRN_Notebooks/ChIP_Atac17_bias50_TFmRNA_TFmRNA.ipynb |