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# If Statements
# ===
# By allowing you to respond sel... | notebooks/if_statements.ipynb |
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import sys
import numpy as np
import matplotlib.pyplot... | GridSearch.ipynb |
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# # Programming Bootcamp 2018
# # Lesson 5 Exercises
#... | class_materials/File_Writing_and_Dictionaries/2018/.ipynb_checkpoints/lab5_exercises_GuChristopher_graded-checkpoint.ipynb |
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# # PySPTKによる音声の分析再合成 (PARCOR係数による全極ラティスフィルタ)
from py... | SpeechAnalysisSynthesis/pysptk_anasyn_parcor.ipynb |
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# + [markdown] id="fMKxA-slER58"
# # Hyperparameter Tuning with Image Clasifi... | hyperparameter_tuning_tf.ipynb |
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# # Data Input and Output
#
# This notebook is the ref... | Data Input and Output.ipynb |
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# # Evaluate, optimize, and fit a classifi... | Real_world_examples/Scalable_machine_learning/3_Evaluate_optimize_fit_classifier.ipynb |
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# import
import numpy as np
import pandas as pd
import... | Lab_1_ANNDA.ipynb |
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# ## Unordered List
class Node:
def __init__(self... | dsa/Basic Data Structures/List.ipynb |
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// # Scala Singletons
//
//
// > "Singleton ... | _notebooks/2021-04-26-scala-singletons.ipynb |
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import pandas as pd
import os.path
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files=[]
impor... | Leaderboard.ipynb |
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# default_exp models.utils
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# # Models utils
#... | nbs/100b_models.utils.ipynb |
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# + language="bash"
#
# cd ../improvement-prediction
#... | use-cases/generate-features-for-use-cases.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | quantum-with-qiskit/Q48_Reflections.ipynb |
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# Write a Python Script that captures images from ... | .ipynb_checkpoints/Selfie Training Data-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="ht... | Woche 3/3_6_Mehr_Daten,_bessere_Ergebnisse.ipynb |
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# # The Theta Model
#
# The Theta model of Assimakopou... | v0.12.1/examples/notebooks/generated/theta-model.ipynb |
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# # 逻辑回归中添加多项式特征
import numpy as np
import matplotlib... | c6_logistic_regression/06_Polynomial_Features_in_Logistic_Regression.ipynb |
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# + id="yEDk9UXhez8U"
import tensorflow as tf
import os
resolver = tf.distri... | _posts/lotto_tcp_one_20220303.ipynb |
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# ### Patent annotation: A novel dataset to highlight... | Jupyter notebook/Patent_annotation_dataset_related.ipynb |
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t = 1:0.1:100;
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%plot inline
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setenv("GNUTERM", "X... | Untitled.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | insercion_cliente_banco_class_A.ipynb |
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# # networkm
#
# > Network Models based on `networkx` ... | index.ipynb |
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import numpy as np
from scipy. integra... | lab-03/lab03-sadautov.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/contrib/coloring_ip.ipynb |
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# #### <NAME>, <NAME>
import pandas as pd
df = pd.r... | statistical-modeling.ipynb |
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# + [markdown] deletable=true editable=true
# # Transf... | all-features/5.5-transplit-DWPCs.ipynb |
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import tensorflow as tf
import numpy as np... | efficientdet/p_multi_gpu_ed_train.ipynb |
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# + [markdown] id="BwaBCc1EpyLj"
# # In this notebook, we're going to cover s... | 00_tensorflow_fundamentals.ipynb |
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// # C++ kernel with Cling
//
// [Cling](https://ce... | python/jupyter/cling/cling.ipynb |
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# # State of Data Science
# ### Business Understandin... | 2_Intro_to_DS/Kaggle-DS-Survey_blog.ipynb |
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import requests
from bs4 import BeautifulSoup
import p... | Cumulative Data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | housepPricePrediction2.ipynb |
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# # Workshop DL01: Deep Neural Networks
#
# ## Agenda:
# - In... | Deep-Learning/workshop-DL01-DeepNeuralNetworks-old.ipynb |
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# # Two Sample Testing
import numpy as np
from scipy.... | CourseContent/04-Advanced.Statistics/Week3/SM4 - Two Sample Testing.ipynb |
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# + [markdown] id="deadly-copper"
# ## <프로젝트 유형: Multi... | Trials/Bit_Trader_Trial4(16510).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2021_05_31_exploratory_data_analysis_pandas_partI.ipynb |
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import numpy as np
import scipy.stats
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from dataclasses import dataclass, field
@datacl... | 2017/Day 07.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | code/social_explorer_data_processing.ipynb |
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# # Answers to Exercises
# **Exercise 1**
np.sum(big... | Lectures/Lecture3_NumpyPandas_Visualizations/Lecture3pt1/Numpy Pandas Homework/Numpy and Pandas Homework (Answers).ipynb |
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import matplotlib.pyplot as plt
import pandas as p... | Vacationpy.ipynb |
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# [explaining article](https://www.fcodelabs.com/2019/... | misc/sum_tree.ipynb |
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# %matplotlib inline
#
#
# Compute ICA on MEG data an... | stable/_downloads/5b60b1d2b62e31ceb3bcab30d238498d/plot_ica_from_raw.ipynb |
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# #!/usr/bin/env python
# ma... | Notebooks/Data Acquisition.ipynb |
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# + [markdown] id="eTcp-kGZ-ETm" colab_type="text"
# # 2A Assignment
# + [ma... | Assignment 2/Assignment_2A_2B.ipynb |
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# # if, elif, else Statements
#
# <code>if</code> Stat... | Python Basics/Control Flow and Functions.ipynb |
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import numpy as np
import pandas as pd
import sema... | features/.ipynb_checkpoints/Extraction - NLTK Similarity Article 22.05-checkpoint.ipynb |
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# + [markdown] id="wIXqUgrcicAw"
# ## *Descripción e instrucciones*
#
# La im... | implementacion_preprocesamiento_extraccion.ipynb |
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# # Ordinary Differential Equation Solvers: Runge-... | Numerics_Prog/Runge-Kutta-Methods.ipynb |
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def toautoml_csv(remote_path):
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# # Exporteer een dataset naar Excel
# Deze notebook l... | 01_Exporteer_een_dataset_naar_Excel.ipynb |
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import pandas as pd
import csv
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import glob
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import os
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# # Introduction to Python
# Purpose: To begin practi... | intro-to-python/intro-to-python.ipynb |
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# # Deep Q-Network implementation
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# This notebook sh... | week4_approx_rl/homework_pytorch.ipynb |
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import seaborn as sns
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import numpy as np
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# Global Land Model
# Diagnostics
# Steps to creatin... | LUH2/GLM/GLM.ipynb |
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# ### Load up test samples
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# Let's load up ... | jupyter/schema_validation.ipynb |
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# # Time-Series Forecasting
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# In si... | jupyter_notebooks/machine_learning/ebook_mastering_ml_in_6_steps/Chapter_3_Code/Code/Time_Series.ipynb |
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#... | pcmdi_metrics/graphics/parallel_coordinate_plot/parallel_coordinate_plot_mean_clim.ipynb |
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# # Models with Vector Inputs
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# This is a basic tutorial ... | _basic-components/regression/vector-models.ipynb |
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# # Structured natural language... | _notebooks/structured-nlp.ipynb |
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# ## 1. Read in the data and transform latitude and lo... | gps_imputation_4.15 (beiwe vs primetracker).ipynb |
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# + id="OUDB6ugZjeTM" colab_type="code" outputId="578d2dc5-6336-4cdd-fbad-25a... | TF2.0_Linear_Regression.ipynb |
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# + pycharm={"name": "#%%\n"}
# #... | notebooks/simulate_port.ipynb |
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#Importing the required libraries
from bs4 import Beau... | Webscraping/Webscraping_Assignment1.ipynb |
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# This course requires basic understanding of linear a... | syllabus/self-assessment.ipynb |
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import pandas as pd
import numpy as np
import os
impor... | Bimbo/.ipynb_checkpoints/re_lag-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="RMhGdYHuOZM8"
# #... | deep-learning/deep-dream/dream.ipynb |
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#... | Programming/python/advanced-python/19-The Asterisk(*).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chatbot.ipynb |
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# ### Find cost o... | src/get_single_family_cost.ipynb |
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# Initialisation Cell
# You should always put imported... | 2019/release/Test1/test1.ipynb |
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# # DSB 2018 Dataset Prep
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"""
dataset_prep.ipynb
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# # Physics 256
# ## Lecture 03 - Python Containers
#... | 4-assets/BOOKS/Jupyter-Notebooks/03_Containers.ipynb |
# -*- coding: utf-8 -*-
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# # Introduction to DataFr... | 01_constructors.ipynb |
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from dateandtimeparser import DateParser
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S1 = 'To... | notebooks/lib-usage-notebook.ipynb |
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# # 📝 Exercise M4.02
#
# The goal of this exercise is to build an intuition ... | notebooks/M4 Linear Models - C2 Non-linear Features - S1 ex M4.02.ipynb |
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# # Day 1
# ### Saving Santa with R stats
# ##### Fuel Counter-upper
# ... | Day 1.ipynb |
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# # Singular Spectrum Analysis
#
# ## Original formula... | SSA_Classic_formulation.ipynb |
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# <a href="https://colab.research.google.com/github/Ne... | tutorials/W3D5_NetworkCausality/student/W3D5_Intro.ipynb |
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# %matplotlib inline
train = pd.read_csv('C:\\dss\\te... | walmart_type_EDA.ipynb |
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# +
import pickle
import re
import string
import warni... | Dataset Cleaning through Regex.ipynb |
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import os
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print(tf.version.VERSION)
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(train_images, train_labels), (test_images... | src/ml_basic/save_and_load_tf.ipynb |
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# ## Day Agenda
# - Data Pre Processing by taking tita... | Notebooks/Day27-Data Preprocessing/Data Preprocessing.ipynb |
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# # Gene tracks
# + tags=["snakemake-job-properties"]... | fiona_temp_rnaseq/rules/notebook_templates/gene_tracks.py.ipynb |
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# %matplotlib inline
#
# # Guided image optimization
... | examples_jupyter/advanced/example_guided_image_optimization.ipynb |
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# # Overfitting demo
#
# ## Create a dataset based on ... | Studying Materials/Course 2 Regression/Ridge Regression/Overfitting_Demo_Ridge_Lasso.ipynb |
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# # HW06
# Name:<NAME> <br> GTid:903461609
# +
from s... | HW06.ipynb |
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## Import all the things
import ... | programmatic-assessment/workshops/jupyter_notebooks/programmatic_report_20181031.ipynb |
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import torch.nn as nn
from torch.autograd... | notebooks/esn/Untitled.ipynb |
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# # Roles Classifier Alternative: K-Nearest Neighbor
#... | alternatives/.ipynb_checkpoints/knn_classification-checkpoint.ipynb |
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# # Laboratorio 2: Armado de un esquema de aprendizaje... | Lab 2.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/explain-model/azure-integration/scoring-time/train-explain-model-on-amlcompute-and-deploy.ipynb |
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# # Fixing `air_pollution_score` Data Type
# - 2008: c... | fix_datatypes_air_pollution.ipynb |
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# + [markdown] hide=true
# # Classification
# $$
# \re... | Mini_Project_Logistic_Regression.ipynb |