Widya Salim (@salimwid)
github

salimwid

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  • Stars
    star
    21
  • Global Rank 621,339 (Top 22 %)
  • Followers 12
  • Following 1
  • Registered over 10 years ago
  • Most used languages
    Jupyter Notebook
         88.9 %
    HTML
         11.1 %
  • Location πŸ‡ΈπŸ‡¬ Singapore
  • Country Total Rank 3,129
  • Country Ranking
    Jupyter Notebook
         212
    HTML
         1,109

Top repositories

1

Predicting_Cryptocurrency_Price_with_LSTM_ARIMA_NLP

[Python] Adopted Neural Network (LSTM), Time Series (ARIMA) and Sentiment Analysis (NLP) to predict Bitcoin prices
Jupyter Notebook
9
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2

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.
Jupyter Notebook
3
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3

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.
Jupyter Notebook
2
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4

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
Jupyter Notebook
2
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5

Causal_Inference_Train_Ticket_Price_2SLS_IV

[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.
Jupyter Notebook
1
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6

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
Jupyter Notebook
1
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7

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.
Jupyter Notebook
1
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8

Predictive_Modeling_to_Identify_Diabetic_Patients

[Python] Machine Learning models to predict the diabetes status of individuals in the United States
HTML
1
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9

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
Jupyter Notebook
1
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