Hello,
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I'm Iftekhar Ahmed

a computer science graduate with a focus on computer vision research. I enjoy building cool projects and adapting to new technologies.

Skills
Language
Web Technology
Database
ML/DL Technology
Publications
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
The paper suggests a computer-aided design to predict chronic kidney disease (CKD) using eight machine-learning algorithms. It evaluates their performance on a UCI machine learning repository dataset and employs random imputation and mean/mode sampling to handle missing data. Feature encoding is used to convert categorical data into numerical values. Results show Random Forest and Logistic Regression achieve the highest accuracy at 99%, followed by AdaBoost, XGBoost, Naive Bayes, Decision Tree, and SVM. KNN performs the least well with 73% accuracy.
Featured Projects
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Imsearch

Imsearch is a powerful tool designed to help you find and compare similar images within a directory. Simply upload an image, select a directory, and let imsearch do the rest. It will analyze and sort all images in the specified directory based on their similarity to the uploaded image.

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LU CP Archive

LU-CP-Archive is a MERN stack application designed to assist students who are doing competitive programming.

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Wrap Up School

Wrap-up-school is an Ed-Tech startup, that offers short, it offers short-term live courses tailored to cover one chapter each

Featured Blogs
Practical Machine Learning : Part - 1The series "Practical Machine Learning" begins with this article. It covers the essentials needed to get started with machine learning, including the types of ML and basic principles.
Deep Learning Essentials : Key Concepts Before Diving DeepThis blog post serves as a comprehensive introduction to the fundamental concepts of Deep Learning. It delves into the building blocks of neural networks, explains the inner workings of forward pass and backpropagation, and explores various techniques for optimizing and fine-tuning your models.