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Rabin Poudyal
Rabin Poudyal

268 Followers

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Jul 2, 2022

Improving LCP in webpage with this extension

Thinking largest contentful paint how to improve? Here is the chrome extension to help you debug.

Web Development

1 min read

Improving LCP in webpage with this extension
Improving LCP in webpage with this extension
Web Development

1 min read


Oct 10, 2021

10 different ways to improve a Machine Learning Model

After building a successful machine learning model and deploying to production. Maybe after few months you gathered a new set of training data and you want to improve the metrics of your model. …

Machine Learning

1 min read

Machine Learning

1 min read


Oct 7, 2021

The dead simple explanation of precision and recall

Most beginner machine learning practictioners get confused with these two metrics that are the heart building any successful ML model. Task: Classify cat/not-cat After classifying bunch of images: Precision: Just take the ones that are predicted as cat. How many of those images were actually cat? Recall: How many % of cats were correctly recognised by the model? Which one is better? It seems both of them needs to be better metrics for our model. But should precision be high or should recall be high? Or should both of the them be high?

Machine Learning

1 min read

The dead simple explanation of precision and recall
The dead simple explanation of precision and recall
Machine Learning

1 min read


Mar 11, 2021

How to avoid flow zone — a false sense of hyper-productivity

Flow zone is that state of mind in which a programmer is highly focused on solving a particular problem. His brain is fully concentrated on the problem and he is disconnected from the rest of the world. When he gets out of the zone, he gets the feeling of getting…

Productivity

3 min read

How to avoid flow zone — a false sense of hyper-productivity
How to avoid flow zone — a false sense of hyper-productivity
Productivity

3 min read


Mar 6, 2021

The three rules of TDD

According to Uncle bob, there are three rules that should be followed to get the best results from TDD. They are: You should write only enough tests that are sufficient to fail You should only write enough code that is sufficient to pass the written failing code Write production code…

Test Driven Development

2 min read

The three rules of TDD
The three rules of TDD
Test Driven Development

2 min read


Feb 28, 2021

Things every software engineer should know.

A lot of things have changed in recent years in the tech industry. It is getting harder to cope with the relevant skills and expertise to sustain the fast-growing tech industry. With the burst of numerous frameworks and programming languages, now we have tools to solve every different kind of…

Software Development

4 min read

Things every software engineer should know.
Things every software engineer should know.
Software Development

4 min read


Feb 24, 2021

Merciless refactoring — building a flexible codebase

Working on a large codebase is tough. Even a small change can cause many side-effects. The fear of not changing the codebase due to the fear of these consequences is even more harmful to the codebase in long run. The fear is because of lacking test cases. …

Programming

1 min read

Merciless refactoring — building a flexible codebase
Merciless refactoring — building a flexible codebase
Programming

1 min read


Feb 22, 2021

The do no harm rule of software engineering

It is practically impossible to write software without bugs but it is even harder to foresee the side effects to make sure everything is in order. …

Software Engineering

1 min read

The do no harm rule of software engineering
The do no harm rule of software engineering
Software Engineering

1 min read


Nov 12, 2020

How to overcome overfitting in your ML model?

Overfitting can occur due to different reasons. There are some ways to prevent this and improve your model. Some of them are: Perform early stopping Early stopping is one of the effective methods to try when you notice that the validation loss increases while training loss decreases. …

Overfitting

2 min read

How to overcome overfitting in your ML model?
How to overcome overfitting in your ML model?
Overfitting

2 min read


Nov 11, 2020

Two hyperparameters every ML engineer should care

Building a successful ML model can involve twisting and tweaking hyperparameters that give the best model for the dataset you are working with. But among all other hyperparameters, there are some of them that are present in almost any machine learning or deep learning algorithms and play an important role…

Machine Learning

2 min read

Two hyperparameters every ML engineer should care
Two hyperparameters every ML engineer should care
Machine Learning

2 min read

Rabin Poudyal

Rabin Poudyal

268 Followers

Software Engineer, Data Science Practitioner. Say "Hi!" via email: rabinpoudyal1995@gmail.com or visit my website https://rabinpoudyal.com.np

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