Created different models that will help predict if the borrower has a high probability of paying their loan back in full and analyze the performance to choose the most suitable model.

This is Python 3 based project to perform fast & accurate face detection with OpenCV using a pre-trained deep learning face detector model shipped with the library.

Exploring Fusion Adaptive Resonance Theory to store data, represent knowledge and predict results under noise using natural language processing.

RPS GameOn: In these project, I created a "Rock Paper Scissors" game as GUI application using python Tkinter library.

TUDelft-CSE-research-project

Using Logistic regression algorithm for predicting whether the patient has heart disease or not.

KisaanBot: A chatbot assistant for farmers towards improving livelihood

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.

Evidence-Based Scheduler

kNN algorithm implementation in Python with graphical analysis

[Tutorial] Start off with a simple convolutional network to use on the CIFAR-10 dataset, followed by several adjustments to increase the accuracy to >92%.

Titanic : Machine Learning from Disaster

Python Data Tool: Top-k classification and model selector

A logistic regression model to predict users who can churn given their demographics, services availed and expenses.

This repo calculates accuracy.

This library enables you to use Interrupt from Hardware Timers on an AVR ATmega164, ATmega324, ATmega644, ATmega1284 with MCUdude MightyCore. It now supports 16 ISR-based timers, while consuming only 1 Hardware Timer. Timers interval is very long (ulong millisecs). The most important feature is they are ISR-based timers. Therefore, their executi…

This is my Convolutional Neural Network built for a Kaggle card image dataset and tested on new external images

Developing an advanced Breast Cancer Classification system using state-of-the-art Deep Learning techniques. This project aims to enhance early detection by analyzing Fine needle aspiration is a type of biopsy procedure's dataset, leveraging neural networks (NNs) and other deep learning architectures.