mtamjidhossain

AI-algorithms

Automated-Liver-Segmentation-Using-Monai-and-PyTorch

Deep learning can be used to detect diseases like cancer by finding tumor cells through medical images. Deep learning also has the potential to improve the quality of medical care by segmenting organs during surgery or scanning patients for signs of cancer or other ailments. So the goal of this project is to use Monai and PyTorch with the Python programming language to create a deep learning model to segment a liver from a public CT scan dataset. We can use the same model that segments the liver, as well as use the same principle to segment other organs or tumors from CT scans or MRIs.

Breast-Cancer-Detection

This program utilizes machine learning to predict if a tumor is malignant or benign using the Breast Cancer dataset.

coding-interview-university

A complete computer science study plan to become a software engineer.

CSE423-Graphics-Lab

CV-academic

Data-Science-Projects

Miscellaneous-projects

Time-Series-Anomaly-Detection-in-ECG-data-using-LSTM-Autoencoder

Titanic-Survival-Prediction

mtamjidhossain/Automated-Liver-Segmentation-Using-Monai-and-PyTorch

Deep learning can be used to detect diseases like cancer by finding tumor cells through medical images. Deep learning also has the potential to improve the quality of medical care by segmenting organs during surgery or scanning patients for signs of cancer or other ailments. So the goal of this project is to use Monai and PyTorch with the Python programming language to create a deep learning model to segment a liver from a public CT scan dataset. We can use the same model that segments the liver, as well as use the same principle to segment other organs or tumors from CT scans or MRIs.

mtamjidhossain/coding-interview-university

A complete computer science study plan to become a software engineer.

mtamjidhossain/AI-algorithms

mtamjidhossain/Breast-Cancer-Detection

This program utilizes machine learning to predict if a tumor is malignant or benign using the Breast Cancer dataset.

mtamjidhossain/CSE423-Graphics-Lab

mtamjidhossain/CV-academic

mtamjidhossain/Data-Science-Projects

mtamjidhossain/Miscellaneous-projects

mtamjidhossain/Time-Series-Anomaly-Detection-in-ECG-data-using-LSTM-Autoencoder

mtamjidhossain/Titanic-Survival-Prediction

mtamjidhossain/E-Healthcare-System

This was a lab project for the CSE471 course from Summer 2019.

mtamjidhossain/hackerrank-10-Days-of-Statistics

Here I will be posting the code solutions in python from the "30 days of Statistics" campaign of HackerRank. Campaign link- https://www.hackerrank.com/domains/tutorials/10-days-of-statistics

mtamjidhossain/Hackerrank-Codes

mtamjidhossain/kaggle-30-Days-of-ML

Here I will be posting the code solutions in notebooks from the 30 days of ML campaign of Kaggle.

mtamjidhossain/Kaggle-courses

Here I will upload the code solution notebooks/ kernels of the tutorial and exercise notebooks from courses by Kaggle.

mtamjidhossain/Kaggle-Intro-to-ML

This repository contains my solved tutorial and exercise notebooks of Kaggle's "Introduction to ML" course. Course link- https://www.kaggle.com/learn/intro-to-machine-learning

mtamjidhossain/kaggle-python-certificate

Here I will be posting the tutorial and exercise solution notebooks from the Python certification course of Kaggle. Link- https://www.kaggle.com/learn/python

mtamjidhossain/learn

mtamjidhossain/mtamjidhossain

Config files for my GitHub profile.

mtamjidhossain/resume

A simple jekyll based resume template

mtamjidhossain/Stock-resources