Widya Salim's repositories
Predicting_Cryptocurrency_Price_with_LSTM_ARIMA_NLP
[Python] Adopted Neural Network (LSTM), Time Series (ARIMA) and Sentiment Analysis (NLP) to predict Bitcoin prices
Mood_Based_Music_Recommendation_System
[Python] Utilised facial recognition (based on Deep Neural Network), similarity based filtering algorithm and Spotify API to recommend songs based on users' current mood.
Controlling_Fake_News_Spread_in_Twitter_with_Network_Analysis
[Python] Proposed end-to-end (E2E) network analysis process needed to disrupt the spread of fake news by limiting the activity of infected nodes.
Game_Theory_LP_Aquaculture_Optimization
[Python & Gurobi] Adopted Game Theory & Linear Programming models to optimizing the price and sourcing strategy for Catfish producers in the United States
Causal_Inference_Train_Ticket_Price_2SLS_IV
[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.
Explainability_Predictive_Modeling_to_Identify_Diabetic_Patients
[Python] Surrogate models to explain the results of machine learning models to predict the diabetes status of individuals in the United States
Measuring_Change_Trading_Asset_Ratio_after_Crisis_DiD
[Python] Measured the change in Trading Asset Ratio (TAR) in Bank Holding Companies after Volcker Rule is imposed after 2008 Financial Crisis with Difference-in-Difference (DiD) Technique
Network_Analysis_on_Global_Offshoring_and_Tax_Avoidance_Behaviour
[Python] Used network analytics methodologies to construct and analyse the global offshoring network contained in the Offshore Leaks papers.
Predictive_Modeling_to_Identify_Diabetic_Patients
[Python] Machine Learning models to predict the diabetes status of individuals in the United States
Backend-Learning
Learning Backend and Stuff
Benchmarking_Airbnb_Listing_Price
[Python] This project aims to predict Airbnb listing price in London using sentiment analysis and Machine Learning models.
bt5153_gp_group9
AirBnB Dataset Recommendation
Jemel-Website
WEBSITE FOR JEMEL
medibed
Repo for Project Medibed
Multiarmed_Bandits_Algorithms_Political_Campaign
[Python] Explored different Multiarmed Bandits algorithms to find the best election campaigns more effectively
Optimising_Buying_Behaviour_Edible_Oils_FX_Futures
[Python] Adopted classification, clustering and regression models to segment customers and predict purchasing behaviours for edible oils and FX futures.
Predicting_Online_User_Purchasing_Behaviour
[Python] This project adopted Machine Learning models to predict a marketplace's user purchasing intention to reduce churn rate and increase conversion.
RBF_neural_network_python
an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.
Visualizing_Maritime_Energy_Efficiency_Statistics
[SQL, Django & Heroku] Deployed a Heroku app that visualizes Maritime Energy Efficiency statistics.