chunwangyuan Goto Github PK

cs288

cs_projects

emergency-assistance-chatbot

In this project we are using two methods to build the chatbot, first, we are building our model from scratch using TensorFlow deep neural networks and another method is fine-tuning existing pre-trained models like Biobert.

facial-recognition

Deep Learning, CNN, Pytorch

heart-failure-prediction

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.

imdb-movie-recommendation

Movie Recommendation analysis would provide valuable business insights that drive decisions, as it is able to recommend real-time streamed movies and classify the movie based on user preference. A movie watcher would want to know what movies they like are similar, and if he/she will watch before making the next decision. We were implementing machine learning models in order to compute similar movies based on user input. The outcome recommendation is very important and valuable in business decisions such as keeping daily active users or advertising on the webpage. Companies can estimate how well their movie recommendation performs and decide which business move they are taking next, cutting off a negative movie or promoting a popular movie. We examined sentiment analysis on TMDB 5000 Movie Dataset from Kaggle.

implementation-of-reinforcement-strategy-for-tic-tac-toe-player

Introducing Tic-Tac-Toe players, reinforcement strategies and comparing them.

intro-to-data-science

Conducted ANOVA and Logistic regression analysis using matplot library to visualize the result.

nlp