Drug Discovery Using Machine Learning and Data Analysis
This project was done in the Bioinformatics lecture by Chanin Nantasenamat. You can find my notes and rearranged codes in this Project documents for better understanding while taking this course.
Chest X-ray Image Classification (Pneumonia) by using PyTorch, CNN
In this project, Chest X-ray images were analyzed with Convolutional Neural Network using Data Augmentation, EDA.
Emotional AI Facial Key Points Detection
In this project, a deep learning model was created based on Convolutional Neural Network an Residual Blocks to predict facial key points
Detection COVID-19 with Chest X-ray using PyTorch
In this project, image classification analysis was performed by working on normal, viral pneumonia and COVID-19 chest X-ray images.
Diabetes Prediction with PySpark MLLIB
In this project, prediction of diabetes was performed based on various features by using machine learning models.
Heart Failure Analysis
In this project, heart failure analysis was performed by determining the feature importance with LightGBM and plotting the importance graphs with Plotly and Seaborn libraries.
Prediction of Rain Tomorrow in Australia
In this project, prediction of rain tomorrow was performed by using end-to-end machine learning models with hyperparameter tuning.
Smiles Faces Detector Using CNN
In this project, detection of smiling face was performed Artificial Neural Network.
Breast Cancer Classification
In this project, classification was performed by using machine learning model on how to classify an image or classify data whether malignant or benign.
AI CODING WOMAN 