Python

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Apache Spark with Python 101—Quick Start to PySpark (2025)

charles1 week ago1 week ago053 mins

Apache Spark is an open source, distributed engine for large-scale data processing. It was developed at UC Berkeley’s AMPLab in 2009 (and released publicly in 2010), mainly to address the limitations of Hadoop MapReduce—particularly for iterative algorithms and interactive data analysis. Spark executes programs significantly faster—up to 100x quicker than Hadoop MapReduce in certain workloads—primarily due to its in-memory processing capabilities. Plus,…

Understanding Linear Regression and Key Metrics: P-Value, Coefficients, and R-Squared

charles2 months ago2 months ago011 mins

What is Linear Regression? Linear regression is one of the simplest and most widely used statistical methods in predictive modeling. It is a technique used to understand the relationship between a dependent variable (also called the target or output) and one or more independent variables (also known as predictors or features). The goal is to…

Understanding Convolutional Neural Networks (CNN) using Python: A Step-by-Step Guide for Image Classification

charles5 months ago4 months ago012 mins

Convolutional Neural Networks (CNNs) are one of the most powerful tools in deep learning, particularly for tasks related to computer vision.

Complete Breakdown of Machine Learning (ML)

charles2 years ago4 months ago012 mins

Machine Learning

is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.