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Missing Character Prediction in Words with BiLSTM and Attention

In this article, we explore how to predict missing characters in words using a BiLSTM with Attention, focusing on data creation and tuning.

Jul 14, 2024

Missing Character Prediction in Words with BiLSTM and Attention

Jul 14, 2024

An End to End Guide to Bayesian Hypothesis Test | Hypothesis Testing Series #3

As the name suggests, Bayesian Hypothesis test is based on Bayes’ Theorm. We start with a prior belief about the population under null and…

Dec 24, 2024

An End to End Guide to Bayesian Hypothesis Test | Hypothesis Testing Series #3

Dec 24, 2024

Published in
Python in Plain English

An End to End Guide to Permutation Tests | Hypothesis Testing Series #2

Permutation test is one of the most popular non-parametric hypothesis tests. In this article, we will go through the theory, python…

Dec 22, 2024

An End to End Guide to Permutation Tests | Hypothesis Testing Series #2

Dec 22, 2024

Published in
Python in Plain English

Non — Continuous Function Optimization Using Genetic Algorithm

Gradient Descent & Newton method are quite popular when finding solutions of a continuous function. But how do we solve a non continuous….

Dec 17, 2024

Non — Continuous Function Optimization Using Genetic Algorithm

Dec 17, 2024

Published in
Artificial Intelligence in Plain English

Google’s Willow: So What’s the Deal with This Quantum Computer, Anyway?

Quantum Computing is one of the biggest revolution going on in the background and Google’s willow is one of the many milestones to come.

Dec 15, 2024

Google’s Willow: So What’s the Deal with This Quantum Computer, Anyway?

Dec 15, 2024

Published in
Python in Plain English

End to End Guide to Hypothesis Testing in Statistics: Concepts, Methods, and Examples

Some experiments, such as testing efficacy of a drug or if a new feature in an app had an impact on app downloads, require statistical…

Dec 7, 2024

End to End Guide to Hypothesis Testing in Statistics: Concepts, Methods, and Examples

Dec 7, 2024

Published in
Python in Plain English

Handling Overfitting in Machine Learning

Overfitting is one of the key challenges in Machine Learning. This occurs when model performance on training data is significantly better…

Dec 6, 2024

Handling Overfitting in Machine Learning

Dec 6, 2024

The 5 Most Popular Regression Techniques Explained

Regression is a widely used method for modeling relationships among variables. Different regression techniques can suit various datasets…

Oct 26, 2024

The 5 Most Popular Regression Techniques Explained

Oct 26, 2024

Published in
Python in Plain English

Text Classification Using Recurrent Neural Networks — End to End Explanation and Implementation

Supervised learning problems are one of the core areas of interest in machine learning space. There are a range of approaches available to…

Aug 24, 2024

Text Classification Using Recurrent Neural Networks — End to End Explanation and Implementation

Aug 24, 2024

Published in
Python in Plain English

The Power of Vectorization in Python Data Operations

We will learn how NumPy/Pandas’s vectorized methods vastly outperform apply functions resulting in multifold boost in performance.

Jun 2, 2024

The Power of Vectorization in Python Data Operations

Jun 2, 2024

Indie Quant

Indie Quant

Passionate About Data Science, Programming & Finance; Check out the articles for free at: - https://indiequant.blogspot.com/

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