Md Tamjid Hossain's repositories
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.
coding-interview-university
A complete computer science study plan to become a software engineer.
Breast-Cancer-Detection
This program utilizes machine learning to predict if a tumor is malignant or benign using the Breast Cancer dataset.
E-Healthcare-System
This was a lab project for the CSE471 course from Summer 2019.
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
kaggle-30-Days-of-ML
Here I will be posting the code solutions in notebooks from the 30 days of ML campaign of Kaggle.
Kaggle-courses
Here I will upload the code solution notebooks/ kernels of the tutorial and exercise notebooks from courses by Kaggle.
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
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
Config files for my GitHub profile.
resume
A simple jekyll based resume template