As a beginner, I wanted to practice turning raw data into meaningful insights so I chose Titanic dataset. Why Titanic you ask? It is one of my favourites apart from the dying part.... I thought it ...

Explore the Titanic dataset using visual and statistical techniques to uncover relationships, trends, and anomalies. This step helps lay the foundation for building accurate machine learning models.

This study confirmed the importance of AI education for fostering students’ AI literacy and derived the necessity of constructivist-oriented datasets that provide contextual relevance to students’ ...

Recently, I had a few discussions about how to get started with data analytics tools, and to address those questions, I’ve created this comprehensive tutorial for beginners. This guide covers the ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Automated disease diagnosis and prediction, powered by AI, play a crucial role in enabling medical professionals to deliver effective care to patients. While such predictive tools have been ...

DataPrep.EDA is the fastest and the easiest EDA (Exploratory Data Analysis) tool in Python. It allows you to understand a Pandas/Dask DataFrame with a few lines of code in seconds. You can create a ...

Pruning optimises machine learning models by removing redundant or unimportant components. Originally introduced by Yann LeCun, pruning helps prevent overfitting in models. It can be used as a ...