Passionate about Data Analytic. MSBA Candidate skilled in SQL, Python, Tableau. Welcome to my homepage!
@JessieDu
In this project, we studied the use of macroeconomic fators on adjusting weights in the S&P 500 index, and further tested how to integrate the decision tree algorithm to help improve the allocation process.
To explore whether machine learning algorithms can produce more robust predictions of the daily loss over the above three conventional methods, in this project, we made forecasts using traditional models and machine learning algorithms to predict the CSI 300 stock. We compared the Root of the Mean Squared Error, exceptions, and violation ratio for the predictions among different methods to see the model performance.
In this project, I scrapped data from Airbnb using Python selenium, selected possible features used for predicting house price; I also cleaned my data and filled missing values using KNN and PCA;
Finally I used Ridge and Lasso regression to make prediction.
In this group project, we built several machine learning models to tackle a binary classfication problem. And further discussed the effectiveness of using ensemble model with voting technique to make predictions.
