baotramduong

Brain-Tumor-Classification-with-Efficient-Net-and-Grad-CAM-Visualization

Brain Tumor Classification with Efficient Net Convolutional Neural Network (CNNs)

Explainable-AI-Scene-Classification-and-GradCam-Visualization

We will build and train a Deep Convolutional Neural Network (CNN) with Residual Blocks to detect the type of scenery in an image. In addition, we will also use a technique known as Gradient-Weighted Class Activation Mapping (Grad-CAM) to visualize the regions of the inputs and help us explain how our CNN models think and make decision.

Facial-Expression-Recognition-with-Convolutional-Neural-Network-Grad-CAM-and-OpenCV

Build and train a convolutional neural network (CNN) in Keras from scratch to recognize to predict 7 types of facial expressions (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral)

Generate-CryptoPunks-with-DCGAN

Portfolio_Project_EDA_The_Movie_Industry

Investigation of factors associated with commercially successful movies with Exploratory Data Analysis

Portfolio_Project_Image_Classification_Chest_X-ray_Pneumonia

Chest X-rays image classification for early Pneumonia detection using deep neural networks

Portfolio_Project_Multivariate_Linear_Regression_King_County_Housing

Real estate value prediction using multivariate regression models

Portfolio_Project_NLP_Show_US_The_Data

Identify how scientific data are referenced in publications using Natural Language Processing (NLP)

Portfolio_Project_Ternary_Classification_Tanzanian_Water_Crisis

Water point functionality prediction using binary classification models

Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT

Twitter Sentiment Analysis with Deep Learning using BERT and Hugging Face

baotramduong/Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT

Twitter Sentiment Analysis with Deep Learning using BERT and Hugging Face

baotramduong/Brain-Tumor-Classification-with-Efficient-Net-and-Grad-CAM-Visualization

Brain Tumor Classification with Efficient Net Convolutional Neural Network (CNNs)

baotramduong/Explainable-AI-Scene-Classification-and-GradCam-Visualization

We will build and train a Deep Convolutional Neural Network (CNN) with Residual Blocks to detect the type of scenery in an image. In addition, we will also use a technique known as Gradient-Weighted Class Activation Mapping (Grad-CAM) to visualize the regions of the inputs and help us explain how our CNN models think and make decision.

baotramduong/Generate-CryptoPunks-with-DCGAN

baotramduong/Cervical-Cancer-Prediction-with-H2O-AutoML

In this project, we will identify the characteristics of women who are more likely to develop cervical cancer and use Automatic Machine Learning H2O AutoML to make prediction on whether or not a certain customer would buy a term deposit. We will also use Explainable AI (XAI) methods such as Variable Importance Plot, Partial Dependence Plot, SHAP Summary Plot, and LIME to explain how each of our feature input affects our model prediction.

baotramduong/Facial-Expression-Recognition-with-Convolutional-Neural-Network-Grad-CAM-and-OpenCV

Build and train a convolutional neural network (CNN) in Keras from scratch to recognize to predict 7 types of facial expressions (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral)

baotramduong/Bitcoin-Price-Prediction-using-Facebook-Prophet

In this work, we will approach the forecast of daily closing price series of the Bitcoin cryptocurrency using data on prices of prior years (January 2016 to August 2020).

baotramduong/COVID-19-mRNA-Vaccine-Degradation-Prediction

Build Bi-directional GRU to predict the degradation rates at each base of an RNA molecule which can be useful to develop models and design rules for RNA degradation to accelerate mRNA vaccine research and deliver a refrigerator-stable vaccine against SARS-CoV-2, the virus behind COVID-19.

baotramduong/Portfolio_Project_EDA_The_Movie_Industry

Investigation of factors associated with commercially successful movies with Exploratory Data Analysis

baotramduong/3D-SARS-CoV-2-Protein-Visualization-With-Biopython

We will use Biopython to handle biological sequence data stored in FASTA & PDB (Protein Data Bank) and XML format. Using this sequence data, we will explore and create an interactive three-dimensional (3D) representation of SARS-CoV-2 (Coronavirus) protein structures.

baotramduong/Anomaly-Detection-via-PyCaret

baotramduong/Data-Visualization

Collection of interactive Jupiter Notebook widgets and graphs.

baotramduong/Emotion-AI-Facial-Key-points-Detection-with-Deep-Learning-Residual-Convolutional-Neural-Network

In this project, we will build, train and test a Convolutional Neural Networks with Residual Blocks to predict facial key point coordinates from facial images.

baotramduong/Generate-Synthetic-Images-with-DCGANs-in-Keras

We will build and train a Deep Convolutional Generative Adversarial Network (DCGAN) to generate images of fashionable clothes.

baotramduong/Life-Expectancy-Prediction-with-H2O-AutoML

We will leverage population's information on immunization, mortality, social- economic and other health related factors and use Automatic Machine Learning H2O AutoML to make prediction on life expectancy of a certain population. We will also use Variable Importance Plot, Partial Dependence Plot, and SHAP Summary Plot to explain how each of our feature input affects our model prediction.

baotramduong/Portfolio_Project_Image_Classification_Chest_X-ray_Pneumonia

Chest X-rays image classification for early Pneumonia detection using deep neural networks

baotramduong/Portfolio_Project_Multivariate_Linear_Regression_King_County_Housing

Real estate value prediction using multivariate regression models

baotramduong/Portfolio_Project_NLP_Show_US_The_Data

Identify how scientific data are referenced in publications using Natural Language Processing (NLP)

baotramduong/Quora-Insincere-Questions-Classification-with-NLP-Transfer-Learning-Using-TensorFlow-Hub

We are going to improve the quality of discussions on Quora platform by detecting toxic content. Specifically, we want to build a predictive NLP model that labels questions asked on Quora as either sincere or insincere.

baotramduong/Bank-Term-Deposit-Marketing-Strategy-with-Automatic-Machine-Learning-H2OAutoML

Identify the characteristics of customers who more likely to respond and commit to a term deposit and use Automatic Machine Learning H2O AutoML to make prediction on whether or not a certain customer would buy a term deposit.

baotramduong/Compare-Time-Series-Predictions-of-COVID-19-Deaths

In this project we will create time series analysis models to predict the number of daily deaths due to SARS-CoV-19, or COVID-19 using the following models: SARIMAX, Facebook Prophet, XGBoost, and Neural Network. We will perform predictions using these trained models and compare the accuracy of predictions of these models statistically and visually.

baotramduong/full-blockchain-solidity-course-py

Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition

baotramduong/instagram-scraper

Scrapes an instagram user's photos and videos

baotramduong/Portfolio_Project_Ternary_Classification_Tanzanian_Water_Crisis

Water point functionality prediction using binary classification models

baotramduong/Sentiment-Analysis-of-Amazon-Product-Reviews-in-the-Cloud-with-AWS

baotramduong/Wikipedia-Toxic-Comments-Classification-with-CNN

baotramduong/awesome-cryptopunks-bubble

Awesome CryptoPunks Bubble (Anno 2021) - Modern 24x24 Pixel Crypto Art on the Blockchain since 2017 - 10 000 Unique Collectible Characters Generated Algorithmically ++ Bonus: Inside the CryptoPunksMarket Contract Service

baotramduong/baotramduong

Config files for my GitHub profile.

baotramduong/Generate-CryptoPunks-with-GPT-2

baotramduong/Leetcode