Derek Snow's repositories
business-datasets
A selection of business datasets
financial-machine-learning-regulation
A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.
reddit-data-science-project-ideas
Reddit Data Science Project Ideas
Datacamp-Courses
Some course contents
simple-machine-learning-glossary
Simple Machine Learning and Data Science Definitions without Copyright
universal-portfolios
Collection of algorithms for online portfolio selection
text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
experimental-statistics
A repository of experimental statistical techniques that improve on "well-accepted" solutions.
Business-Analysis-of-a-Clothing-Brand
Analyzing the Customer database of a clothing brand and finding relation between dependent parameters and amount spent. Also analyzing, which area the company should focus on.
office-location-project
This application, developed in Python, helps you to choose the right place for open a new office, based on the preferences of the company's workers.
Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling
To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:
CompaniesGeolocation
To place the 'new company offices' in the best place for the company to grow.
CompanyLogs
Introduction to Data Science course project
finding_best_markets_advertise
Theoretical Scenario: Finding the best markets to advertise in as an e-learning company offering courses in programming.
mentalhealthprediction
I cleaned over 125 columns and curated final 25 relevant columns, for the model used XG Boost + Hyperparameter + Standard Scaler to classify and predict mental health at work. The dataset were real survey from apprx 1000 workers in Tech Companies.
profitable_free_apps
Analyzing free apps in the Google Play store and the App store to see which kind would be profitable for a company.
walter-p-moore-data-challenge
This is the data challenge held by Walter P Moore, which an international company providing engineering services. The data is their detailed project information in time series manner and the goal is to predict the profitability of a project
Zindi_Challenge_Sendy_Logistics
Zindi Challenge for Sendy Logistics Company in Nairobi Final Submissions