Below are the broad categories of all the projects that have been/will be covered by me. Each week I will add a new project to any of the below categories depending on the domain. Enjoy the read, Explorer :)
Project 1: Multivariable Logistic Regression to understand churn prediction for MOOC attrition using social, behavioral and analytical factors
- Explored logistic regression to understand student attrition rates for courses on popular online education platforms such as EdX and Coursera
- [More Details] https://github.com/debstS/Data-Science-projects-portfolio/tree/main/MOOC%20Churn%20Prediction%20Analysis
Project 2: Landscape Genetic Model to study correlation between rise in Malaria cases and Local Habitat practices in light of South Asian lanscape
- A Geospatial data science project undertaking comprehensive land cover investigation to establish linkage between human habitat practices and Malaria propagation
- Imbalanced and unstructured datasets comprising of 150+ columns
- Employed multivariate statistical methods and Exploratory data analysis to analyze environmental patterns and its correlation with spread of Malaria in the region
- [More details] https://github.com/debstS/MalariaProject
- This project aims to analyse Customer churn in light of real HelloFresh datasets, and extract some powerful insights
- [More details] https://github.com/debstS/hellofresh_case_study
- The goal of this study is to predict how often a hotel will be clicked based on certain characteristics of the hotel.
- It also aims to provide the right accommodations for users and help advertisers to run well-performing campaigns on the trivago website
- [More details] https://github.com/debstS/Book-Recommendation-System-
Project 5: A/B testing to compare Product website's layout for 3 types of Property Industry stakeholders
- A comprehensive A/B testing design plan to test the efficacy and outcome of two types of websites layouts, to decide the more preferred and user-friendly layout options.
- [More details]
Project 6:Create a Custom Property Chatbot for Question-Answer problem using Langchain and Llama 2 API
- A ChatGPT-like custom Large Language Model 'chatbot' application, trained on custom knowledge base in light of Property Technology customer queries.
- [More details] https://github.com/debstS/Data-Science-projects-portfolio/blob/main/%F0%9F%A6%9C%F0%9F%94%97_Chat_with_PDFs_Custom_Knowledge_ChatGPT_with_LangChain.ipynb
- The goal of this study is to predict how often a hotel will be clicked based on certain characteristics of the hotel.
- It also aims to provide the right accommodations for users and help advertisers to run well-performing campaigns on the trivago website
- [More details] https://github.com/debstS/trivago_case_study
Project 8: London Real Estate Analysis using Clustering to find areas with highest venues of interest, to help with making best investment decisions while buying a property
- Built a basic recommender system based on collaborative filtering algorithm in one of Peak's workshops
- [More details] https://github.com/debstS/team_11
- Build a Credit risk model to assess credit worthiness of a loan applicant
- [More detail] [https://github.com/debstS/Credit-Risk-Modeling/blob/main/README.md]
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