Jolly I. Ogbolè's repositories
Stock_Markets_Assymetric_Volatility_Spillover_Effects
I investigate the Asymmetric Volatility Spillover Effects within and across six major International stock markets. United States, Canada, France, Germany, Italy & Japan
awesome-survival-analysis
Resources for Survival Analysis
Azure_Reviews_A_Latent_Dirichlet_Allocation_Approach
Background and Objective: My objective is to leverage the Latent Dirichlet Allocation (LDA), an NLP Topic Modeling technique to analyze the textual data aggregated from a particualr high impact reviews platform, capterra.com to uncover key trends and insights from the product users' perspective.
Data_science_projects
data projects implemented in 2018 touching on a number of domains including real estate, healthcare, transportation etc.
Exploratory_Data_Analysis_On_US_Domestic_Flights
In this project, I undertook Exploratory Data Analysis (EDA) to investigate delays and reliability of airports.. Given the available dataset, I formulated and posed a number of insight eliciting questions and endeavored to answer these questions from the dataset leveraging the Pandas and Numpy libraries and relevant Visualization toolkits.
jolly-io
Introduction
Modeling_Customer_Churn_Prediction
In this project, the objective was to build a classification model to predict a customer’s likelihood to churn for ZQ, a telecommunications company.
Random_Forest_and_Logistic_Regression
This is a classification model implementation using Random Forest and Logistic Regression in Python and Spark. Originally implemented via AWS EMR Clusters.
Research_Writing_Samples
Select samples of my research work products
Python-projects
Principles and Concepts Implementation
Turo_Pricing_Prediction_Model
I develop a multilinear regression model for price prediction on car sharing platform, Turo.
Yelp_Ratings_and_Restaurant_Reservations
In this project, I investigated the Association between Yelp.com ratings for restaurants and the availability of reservations. Result: I find a Negative correlation between high ratings and availability of reservations