Data Science


7 Best Python Libraries to Make Optimization Easier

There is a proverb “You don’t have to reinvent the wheel”. Libraries are the best example of that. It helps you to write complex and time-consuming functionality in an easy way. According to me, a…

pythonmachine-learningai

Leave One Subject Out Cross Validation for Machine Learning Models

How to implement cross validation in Python from scratch.

data-sciencecross-validationmachine-learning

10 Strategies to Alter ChatGPT's Writing Style

The writing style of ChatGPT may not be suitable for all audiences. The good news is, with the right approach, you can change it.

technologyartificial-intelligencetech

Create A Graph with 2 Legends

How to create a graph in Python with two legends using matplotlib and the legend() function.

technologygraphdata-science

RapidFuzz versus FuzzyWuzzy

String matching with Python

technologypythonprogramming

Perform Sentiment Analysis on Tweets Using Python

How to perform sentiment analysis on tweets using pandas, NumPy and seaborn — and how to best obtain tweet data.

bright-datapythonsentiment-analysis

5 Reasons Why Your Startup Might Be Failing

Web data platforms like Bright Data enable startups to make informed decisions with the help of powerful data infrastructures, significantly improving their early chances of success.

startupsweb-datadata-science

Knowledge Distillation, aka Teacher-Student Model

With the release of large models in the last few years, from GPT-3 to Megatron, I keep pondering how to experiment and use these models for a specific use case. These models are trained on massive…

deep-learningmachine-learningpython

Python: logging program state into multiple files for analysis

pythondatadata-science

How to Replace Python 'for' Loops with NumPy Operations

pythonfor-loopsnumpy