salimwid Goto Github PK

arint_fitting

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

causal_inference_train_ticket_price_2sls_iv

[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.

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.

ddf--gapminder--billionaires

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

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

intro-to-web-summer-2014

jemel-may

Website for Jemel!

jemel-website

WEBSITE FOR JEMEL

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

medibed

Repo for Project Medibed

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.

multiarmed_bandits_algorithms_political_campaign

[Python] Explored different Multiarmed Bandits algorithms to find the best election campaigns more effectively

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.

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.

personal-profile-example

predicting_cryptocurrency_price_with_lstm_arima_nlp

[Python] Adopted Neural Network (LSTM), Time Series (ARIMA) and Sentiment Analysis (NLP) to predict Bitcoin prices

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.

predictive_modeling_to_identify_diabetic_patients

[Python] Machine Learning models to predict the diabetes status of individuals in the United States

rbf_neural_network_python

an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.

salimwid

My personal repository

uw_datasci

visualizing_maritime_energy_efficiency_statistics

[SQL, Django & Heroku] Deployed a Heroku app that visualizes Maritime Energy Efficiency statistics.