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1. Time-Series-Forcasting-Seq2Seq Time-Series-Forcasting-Seq2Seq Public

   A time series forecasting project from Kaggle that uses Seq2Seq + LSTM technique to forecast the headcounts. Detailed explanation on how the special neural network structure works is provided.

   Jupyter Notebook 26 4

2. All-About-Movie-Data All-About-Movie-Data Public

   A hub that stores data science and analytics done on movie related data. The techniques used include EDA, NLP topic analysis, Recommender System, and advanced visualization in Tableau

   Jupyter Notebook 2

3. Causal-Inference-Experiment Causal-Inference-Experiment Public

   An A/B testing project done with survey to examine whether people are more likely to click on thumbnails that contain their own racial features.

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4. Statistical-Similarity-Measurement Statistical-Similarity-Measurement Public

   A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder, PCA, t-SNE, KL-divergence, Clustering, and Cosine Similarity.

   Jupyter Notebook 10

5. AWS-Click-Prediction AWS-Click-Prediction Public

   A big data project that utilizes E3, Athena, EMR, SageMaker and QuickSight on AWS to build Random Forest and xgBoost model in Spark and SQL that predict the CTR of ads on a large relational database.

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6. COVID-19-Forecasting COVID-19-Forecasting Public

   A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.

   Jupyter Notebook 2 1