Master Multiple Linear Regression in Python with scikit-learn and statsmodels
October 16, 2025

Introduction Mastering multiple linear regression in Python with libraries like scikit-learn and statsmodels is an essential skill for any data scientist. In this article, we’ll walk you through the process of implementing and evaluating multiple linear regression models, using tools like scikit-learn and statsmodels to preprocess data, select features, and address challenges like multicollinearity and […]

Boost Object Detection with Data Augmentation: Master Rotation & Shearing
October 16, 2025

Introduction To improve object detection accuracy, data augmentation techniques like rotation and shearing play a key role. These transformations help models recognize objects from multiple angles and perspectives, making them more robust in real-world scenarios. Rotation prevents overfitting by allowing the model to handle varying object orientations, while shearing simulates perspective distortions that are commonly […]

Boost Object Detection with Data Augmentation: Rotation & Shearing Techniques
October 16, 2025

Introduction “Data augmentation is a powerful technique that boosts the performance of object detection models, especially through rotation and shearing. These transformations allow models to recognize objects from various angles, helping to reduce overfitting and making them more adaptable to real-world scenarios. In this article, we dive into how rotation and shearing work to improve […]

Master Ridge Regression: Reduce Overfitting in Machine Learning
October 16, 2025

Introduction Ridge regression is a powerful technique in machine learning, designed to combat overfitting by applying an L2 penalty to the model’s coefficients. This helps to stabilize coefficient estimates, especially in cases with correlated features or multicollinearity. Unlike Lasso regression, Ridge doesn’t eliminate any features but instead shrinks their impact, leading to a more reliable […]

Run Python Scripts on Ubuntu: A Step-by-Step Guide
October 16, 2025

Introduction Style Guide:Subject Matter: A modern, clean illustration depicting the process of running Python scripts on Ubuntu. The focal point is a simplified, symbolic server or computer icon in the center, surrounded by abstract shapes representing code and virtual environments. The Python icon can subtly integrate into the design, symbolizing the running of Python scripts.Artistic […]

Master AI Agent Automation with RAG on Gradient Platform
October 15, 2025

Introduction Building an AI agent with RAG on the Gradient Platform transforms how teams handle compliance automation. This innovative approach uses Retrieval-Augmented Generation (RAG) to automate complex security and compliance questionnaires, cutting manual effort by up to 90%. By integrating AI-driven document retrieval and contextual response generation, the system ensures faster, more consistent, and accurate […]

Master Data Augmentation for Object Detection with Rotation and Shearing
October 15, 2025

Introduction Mastering data augmentation for object detection with rotation and shearing is key to building smarter, more resilient AI models. In computer vision, data augmentation enhances training datasets by introducing geometric transformations that simulate real-world diversity. Rotation adjusts image orientation, while shearing skews perspective—both requiring precise updates to bounding boxes for accuracy. This guide explores […]

Master OpenAI Gym Environments with Python Tutorial
October 14, 2025

Introduction Learning how to build a custom environment in OpenAI Gym with Python is a great way to understand reinforcement learning in action. This tutorial walks you through creating ChopperScape, an environment where an AI-controlled helicopter navigates obstacles, collects fuel, and earns rewards. You’ll explore how observation and action spaces work, define environment elements, and […]

Alireza Pourmahdavi

I’m Alireza Pourmahdavi, a founder, CEO, and builder with a background that combines deep technical expertise with practical business leadership. I’ve launched and scaled companies like Caasify and AutoVM, focusing on cloud services, automation, and hosting infrastructure. I hold VMware certifications, including VCAP-DCV and VMware NSX. My work involves constructing multi-tenant cloud platforms on VMware, optimizing network virtualization through NSX, and integrating these systems into platforms using custom APIs and automation tools. I’m also skilled in Linux system administration, infrastructure security, and performance tuning. On the business side, I lead financial planning, strategy, budgeting, and team leadership while also driving marketing efforts, from positioning and go-to-market planning to customer acquisition and B2B growth.