AI/ML Techniques

Navigating Missing Data Challenges with XGBoost

XGBoost has gained widespread recognition for its impressive performance in numerous Kaggle competitions, making it a favored choice for tackling…

2 months ago

Building 3 Fun AI Applications with ControlFlow

The AI industry is rapidly advancing towards creating solutions using large language models (LLMs) and maximizing the potential of AI…

2 months ago

Boosting Over Bagging: Enhancing Predictive Accuracy with Gradient Boosting Regressors

Ensemble learning techniques primarily fall into two categories: bagging and boosting. Bagging improves stability and accuracy by aggregating independent predictions,…

2 months ago

5 Free Courses to Master Deep Learning in 2024

AI applications are everywhere. I use ChatGPT on a daily basis — to help me with work tasks, and planning, and even…

2 months ago

From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles

This post dives into the application of tree-based models, particularly focusing on decision trees, bagging, and random forests within the…

2 months ago

Decision Trees and Ordinal Encoding: A Practical Guide

Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric…

2 months ago

From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis

Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows…

2 months ago

5 Real-World Machine Learning Projects You Can Build This Weekend

Building machine learning projects using real-world datasets is an effective way to apply what you’ve learned. Working with real-world datasets…

2 months ago

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does amazingly well at communicating with…

2 months ago

The Concise Guide to Feature Engineering for Better Model Performance

Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature…

2 months ago