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Category: Data Science

Data Science

Optimising a fastText model for better accuracy

Sunny SrinidhiDecember 3, 2019 2604 Views0

More in The fastText Series. In our previous post, we saw what n-grams are and how they are useful. Before that post, we built a simple text classifier using Facebook’s fastText library. In this p...

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Data Science

Understanding Word N-grams and N-gram Probability in Natural Language Processing

Sunny SrinidhiNovember 26, 2019 1805 Views2

More in The fastText Series. N-gram is probably the easiest concept to understand in the whole machine learning space, I guess. An N-gram means a sequence of N words. So for example, “Medium blog”...

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Data Science

An intro to text classification with Facebook’s fastText (Natural Language Processing)

Sunny SrinidhiNovember 25, 2019 2158 Views3

More in The fastText Series. Text classification is a pretty common application of machine learning. In such an application, machine learning is used to categorise a piece of text into two or more...

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Data Science

Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep Learning

Sunny SrinidhiNovember 18, 2019 1743 Views0

It’s very common these days to come across these terms - data science, artificial intelligence, machine learning, deep learning, neural networks, and much more. But what do these buzzwords actually m...

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Data Science

Top Five Machine Learning courses for beginners on Udemy

Sunny SrinidhiNovember 18, 2019 1251 Views2

Everybody wants to do machine learning these days. Machine learning, data science, artificial intelligence, deep learning, neural network — these have become some of the most used phrases in the tech...

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Data Science

Forward Selection for Feature Selection in Machine Learning

Sunny SrinidhiNovember 13, 2019 1961 Views0

In our previous post, we saw how to perform Backward Elimination as a feature selection algorithm to weed out insignificant features from our dataset. In this post, we'll checkout the next method for...

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Data Science

Backward Elimination for Feature Selection in Machine Learning

Sunny SrinidhiNovember 11, 2019 1321 Views1

When we're building a machine learning model, it is very important that we select only those features or predictors which are necessary. Suppose we have 100 features or predictors in our dataset. Tha...

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statistics-on-laptop
Data Science

Null Hypothesis and the P-Value

Sunny SrinidhiNovember 8, 2019 2048 Views5

When you're starting your machine learning journey, you'll come across null hypothesis and the p-value. At a certain point in your journey, it becomes quite important to know what these mean to make ...

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scikit_learn_logo
Data Science

Fit vs. Transform in SciKit libraries for Machine Learning

Sunny SrinidhiNovember 7, 2019 1461 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 3694 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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