baotramduong Goto Github PK

-crazy-world-simulation

An Evolutionary system with lots of features, some very eccentric.

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.

a-b-test-for-ad-campaign

als-recommender-system-pyspark-lab-online-ds-sp-000

anomaly-detection-via-pycaret

applying-nearest-neighbors-data-science-intro-000

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

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

Config files for my GitHub profile.

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).

blog

brain-tumor-classification-with-efficient-net-and-grad-cam-visualization

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

build-a-data-science-web-app-with-streamlit-and-python

calculating-distance-data-science-intro-000

calculating-distance-lab-data-science-intro-000

calculating-lines-data-science-intro-000

careers-building-your-resume

careers-job-search-mindset

careers-resume-technical-experience

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.

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.

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

conditionals-python-lab-data-science-intro-000

conditionals-python-readme-data-science-intro-000

coursera_data-science_capstone

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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.

customer-market-segmentation

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

data-visualization-and-communication-with-tableau

Tableau