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Home>>python scikit

Tag: python scikit

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Data Science

Fit vs. Transform in SciKit libraries for Machine Learning

Sunny SrinidhiNovember 7, 2019 1389 Views0

We have seen methods such as fit(), transform(), and fit_transform() in a lot of SciKit's libraries. And almost all tutorials, including the ones I've written, only tell you to just use one of these ...

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MachineLearning
Data Science

ColumnTransformer in SciKit for LabelEncoding and OneHotEncoding in Machine Learning

Sunny SrinidhiNovember 6, 2019 3434 Views3

In a very old post - Label Encoder vs. One Hot Encoder in Machine Learning - I had demonstrated how to use label encoding and one hot encoding to separate out categorical text data into numbers and d...

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Data Science

Overfitting and Underfitting models in Machine Learning

Sunny SrinidhiAugust 2, 2018 1306 Views0

In most of our posts about machine learning, we've talked about overfitting and underfitting. But most of us don't yet know what those two terms mean. What does it acutally mean when a model is ov...

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Data Science

Different types of Validations in Machine Learning (Cross Validation)

Sunny SrinidhiAugust 1, 2018 7897 Views0

Now that we know what is feature selection and how to do it, let's move our focus to validating the efficiency of our model. This is known as validation or cross validation, depending on what kind...

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Feature_selection_Embedded_Method
Data Science

Different methods of feature selection

Sunny SrinidhiJuly 31, 2018 1470 Views1

In our previous post, we discussed what is feature selection and why we need feature selection. In this post, we're going to look at the different methods used in feature selection. There are three ...

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LinearRegression_ScatterPlot_TrainingSet
Data Science

Linear Regression in Python using SciKit Learn

Sunny SrinidhiJuly 30, 2018 3004 Views1

Today we'll be looking at a simple Linear Regression example in Python, and as always, we'll be using the SciKit Learn library. If you haven't yet looked into my posts about data pre-processing, which...

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Scaled_Data
Data Science

Why do we need feature scaling in Machine Learning and how to do it using SciKit Learn?

Sunny SrinidhiJuly 27, 2018 1978 Views1

When you're working with a learning model, it is important to scale the features to a range which is centered around zero. This is done so that the variance of the features are in the same range. If a...

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Age_Salary_Data
Data Science

How to split your dataset to train and test datasets using SciKit Learn

Sunny SrinidhiJuly 27, 2018 4694 Views2

When you're working on a model and want to train it, you obviously have a dataset. But after training, we have to test the model on some test dataset. For this, you'll a dataset which is different fro...

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Age_Salary_Data
Data Science

Handle missing data in your training dataset with SciKit Imputer

Sunny SrinidhiJuly 27, 2018 2686 Views2

Most often than not, you'll encounter a dataset  in your data science projects where you'll have missing data in at least one column. In some cases, you can just ignore that row by taking it out of th...

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MachineLearning
Data ScienceTech

Label Encoder vs. One Hot Encoder in Machine Learning

Sunny SrinidhiJuly 27, 2018 7483 Views8

Update: SciKit has a new library called the ColumnTransformer which has replaced LabelEncoding. You can check out this updated post about ColumnTransformer to know more. If you're new to Machine L...

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