Name: Siddharth Gupte
Type: User
Bio: I am an experienced IT professional and my interests mainly lie in the realm of data science, data analytics & everything to do with the data life cycle.
Location: Hawthorn, VIC, Australia
Siddharth Gupte's Projects
This project implements document clustering with the EM (Expectation-Maximization) algorithm for a Cryptocurrency Information Document Set.
This project aims to create a classifier that can predict whether or not a candidate will change their job by using historical data on candidate demographics and details about their education and experience using different classification machine learning models.
Developing a feedback theory-informed natural language processing (NLP) model to enable large-scale evaluation of written feedback, and analysing a large set of feedback extracted from Moodle using this model to understand the presence of student-centred feedback elements, the commonality and differences in feedback provision across disciplines.
The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.
In this project, we are computing and comparing the reconstruction error and classification errors of a 3-Layer Neural Network Model and an Augmented Feature Model
Developed a model/Spark ML pipeline stream to identify potential customers that may purchase top up services in the future.
Unpacked a chess game data file, separated the black and white moves and visualised the 10 most common moves.
Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.