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@ocoyawale
ocoyawale / knn_impute.py
Last active January 28, 2018 01:53 — forked from YohanObadia/knn_impute.py
Imputation of missing values with knn.
# Modified the print statement slightly to allow for use in python 3 coding
import numpy as np
import pandas as pd
from collections import defaultdict
from scipy.stats import hmean
from scipy.spatial.distance import cdist
from scipy import stats
import numbers
@ocoyawale
ocoyawale / knn_impute_example.py
Created January 28, 2018 01:52 — forked from YohanObadia/knn_impute_example.py
Example of use for the knn_impute function
knn_impute(target=df['Age'], attributes=df.drop(['Age', 'PassengerId'], 1),
aggregation_method="median", k_neighbors=10, numeric_distance='euclidean',
categorical_distance='hamming', missing_neighbors_threshold=0.8)
@ocoyawale
ocoyawale / HrDataser.ipynb
Created January 29, 2018 03:31 — forked from Keerthivasan-A/HrDataser.ipynb
Kaggle HR Dataset
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@ocoyawale
ocoyawale / titanic_seaborn.ipynb
Created January 29, 2018 03:41 — forked from mwaskom/titanic_seaborn.ipynb
Exploring the Kaggle Titanic dataset with seaborn.
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@ocoyawale
ocoyawale / titanic.ipynb
Created January 29, 2018 04:09 — forked from gcnit/titanic.ipynb
Titanic Kaggle
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@ocoyawale
ocoyawale / k insurance.ipynb
Created January 29, 2018 04:26 — forked from roberttreichler/k insurance.ipynb
pandas scikit learn
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@ocoyawale
ocoyawale / Outbrain_click_analysis.ipynb
Created January 29, 2018 05:07 — forked from Inquisitive-Geek/Outbrain_click_analysis.ipynb
A Python Notebook with explains how Outbrain data was loaded into Spark
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@ocoyawale
ocoyawale / Project Amazon Fine Food Reviews.ipynb
Created January 29, 2018 05:07 — forked from abhigrover101/Project Amazon Fine Food Reviews.ipynb
Sentiment Classification : Amazon Fine Food Reviews Dataset
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