Backtesting a Dynamic Investment Strategy with Python
Posts by Tags
ai trading
backtesting
data science
Influence of News Topics on Facebook-based Stress Impact Scores
My goal is to design a news recommendation engine that incorporates the potential stress impact to the user on reading the news articles.
Wi-Fi Fingerprint Indoor Localization (Part III): Classification and Cascade Prediction
In the previous post, we performed various transformations on the independent variables of the raw UJIIndoorLoc dataset to prepare it for the machine learning.
Wi-Fi Fingerprint Indoor Localization (Part II): Latitude-Longitude Regression
This post is part of a series of blogs on machine learning approaches for Wi-Fi fingerprinting based indoor localization.
Wi-Fi Fingerprint Indoor Localization (Part I): Predictor Pre-Processing
This post is part of a series of blogs on machine learning approaches for Wi-Fi fingerprinting based indoor localization.
Reddit Sentiment-based Soccer Match Prediction
In this project, my goal is to predict the soccer match results based on the sentiment of the comments in the corresponding Reddit soccer (r/soccer) post-match threads.
Drawing Statistical Inferences from General Social Survey
In this project, I apply the skills learnt in Inferential Statistics course offered on Coursera by Duke University.
H-1B Visa Petitions Data Analysis using R (Part IV): Kaggle Open Data
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part III): Shiny Web App
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part II): Data Analysis
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part I): Data Wrangling
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
kaggle
H-1B Visa Petitions Data Analysis using R (Part IV): Kaggle Open Data
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part III): Shiny Web App
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part II): Data Analysis
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
H-1B Visa Petitions Data Analysis using R (Part I): Data Wrangling
This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.
localization
Wi-Fi Fingerprint Indoor Localization (Part III): Classification and Cascade Prediction
In the previous post, we performed various transformations on the independent variables of the raw UJIIndoorLoc dataset to prepare it for the machine learning.
Wi-Fi Fingerprint Indoor Localization (Part II): Latitude-Longitude Regression
This post is part of a series of blogs on machine learning approaches for Wi-Fi fingerprinting based indoor localization.
Wi-Fi Fingerprint Indoor Localization (Part I): Predictor Pre-Processing
This post is part of a series of blogs on machine learning approaches for Wi-Fi fingerprinting based indoor localization.