5 min read
Beginner’s Guide to Machine Learning Concepts
A comprehensive introduction to the core concepts of ML, including supervised and unsupervised learning.
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Profile
AspiringArtificialIntelligencespecialistcurrentlypursuinganAI-focuseddegreeattheUniversityofHull.Motivatedlearnerwithfoundationalknowledgeinmachinelearning,dataanalysis,andmodelinterpretation.SeekinganAIinternshiptocontributetoimpactfulprojectsandgrowtechnicalandresearchskills.
Education
University of Hull
MSc Artificial Intelligence
June 2024 - Present
Lord Buddha Education Foundation
B.Sc.IT (Hons Computing)
March 2021 - September 2024
Skills
Technical Skills
Python
Machine Learning basics
Jupyter Notebook
Tools
Git
GitHub
Virtual Environments
VS Code
Soft Skills
Problem-solving
Communication
Teamwork
Time Management
Critical Thinking
Projects
Real-time rock identification application using TensorFlow. Trained on Kaggle dataset.
TensorFlowPythonKaggleDeep Learning
Logistic regression model to predict customer churn. Features log-odds visualization and coefficient interpretation.
Logistic RegressionData AnalysisPythonSklearn
Research on LIME, SHAP, and adversarial attacks on XAI methods. Summarized insights from multiple papers.
XAIResearchLIMESHAP
Latest Articles
Read More
7 min read
How TensorFlow Processes Image Data
Deep dive into tensors, image preprocessing pipelines, and how CNNs interpret visual data.
6 min read
Understanding LIME & SHAP in Explainable AI
Exploring model interpretability techniques to trust and understand black-box models.
4 min read
How Logistic Regression Works in Simple Terms
Breaking down the math behind logistic regression and its application in binary classification.
5 min read
Why Explainable AI Matters for Real-World Systems
Discussing the ethical implications and practical necessity of XAI in healthcare and finance.
3 min read
Setting Up Python Virtual Environments for ML Projects
Best practices for managing dependencies and environments using venv and conda.