Ojo Timilehin

@Campeone

Website

Data science || Machine learning || Deep learning

Yola, Nigeria.Joined March 2023

About

I am a data scientist who loves building AI products that drive business success and productivity.

I am currently on the lookout for internship opportunities.

I am ready for collaboration anytime.

Available for

I am available for - Technical writing jobs - Data science projects - Internships - Contract roles - Full-time roles

Ojo Timilehin's blogs

Campeone's blogcampeone.hashnode.dev8 posts

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Recently published

campeone.hashnode.dev

Revolutionizing Healthcare: The Applications of Artificial Intelligence in Modern Medicine.

Introduction The healthcare systems have faced significant challenges over the years. The primary objectives of healthcare systems are to: Elevate the level of patient care. Promote population health. Enhance the experience of healthcare providers...

Aug 19, 20256 min read

campeone.hashnode.dev

Understanding and Implementing Key Regression Evaluation Metrics

Introduction There are different types of Machine learning (ML) problems based on whether the dataset has a target feature (Supervised and Unsupervised) and whether the target feature is a continuous numerical value or a categorical variable (Regress...

Sep 12, 20247 min read

campeone.hashnode.dev

Understanding and Preventing Data Leakage in Machine Learning

Imagine a student named Bauer who took an Algebra class with his classmates. Bauer paid attention during the lessons but may not completely understand the underlying principle of Algebra. Two weeks later, the teacher gave the class a test. Fortunatel...

Sep 12, 20246 min read

campeone.hashnode.dev

Understanding the Difference Between Black Box and White Box Models

What is the Machine learning model? Machine learning (ML) models are computed programs created by training ML algorithms to detect and recognize patterns using labeled, unlabeled, or mixed data. Machine learning models are broadly categorized into 2...

Sep 12, 20247 min read

campeone.hashnode.dev

AUC-ROC Curve: A Comprehensive Guide to Model Selection in Machine Learning

Introduction There are a few Machine Learning (ML) algorithms to choose from when building an ML model. Different ML algorithms perform differently on the same dataset due to differences in algorithm complexity, bias-variance tradeoff, nature of data...

Sep 12, 20247 min read

Ojo Timilehin

About

Available for

Ojo Timilehin's blogs

Recently published

Revolutionizing Healthcare: The Applications of Artificial Intelligence in Modern Medicine.

Understanding and Implementing Key Regression Evaluation Metrics

Understanding and Preventing Data Leakage in Machine Learning

Understanding the Difference Between Black Box and White Box Models

AUC-ROC Curve: A Comprehensive Guide to Model Selection in Machine Learning

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Ojo Timilehin

About

Available for

Ojo Timilehin's blogs

Recently published

Revolutionizing Healthcare: The Applications of Artificial Intelligence in Modern Medicine.

Understanding and Implementing Key Regression Evaluation Metrics

Understanding and Preventing Data Leakage in Machine Learning

Understanding the Difference Between Black Box and White Box Models

AUC-ROC Curve: A Comprehensive Guide to Model Selection in Machine Learning