This Repository contains projects that I undertook during the Project Phase of my Data Analytics Training and Apprenticeship at Azubi Africa.
Each link leads to a different repo where the files for the selected project can be found.
NOTE: All the projects and accompanying files were previously located in this same repo. After careful thought and consideration, I decided to create new repo for each project. This will make sure that this repo only acts as a directory page to other repos that contain the different projects. That explains why the newly created project repos have less commits.
The table below shows the names, description, status and articles for projects.
| S/N | PROJECT NAME | DESCRIPTION | STATUS | ARTICLE |
|---|---|---|---|---|
| LP1 | Indian Start-up Ecosystem Funding - Data Analysis Project | This Project analyzes funding received by start-ups in India from 2018 to 2021. Analysis is made in a Jupyter notebook. Microsoft Power BI is used for insights visualizations | Completed | LinkedIn Medium |
| LP2 | Store Sales - Time Series Forecasting - Regression Project | In this time series forecasting project, I predict store sales on data from Corporation Favorita, a large Ecuadorian-based grocery retailer. Specifically, I build a model that more accurately predicts the unit sales for thousands of items sold at different Favorita stores | Completed | Medium |
| LP3 | Telecommunication Customer Attrition - Classification Project | In this Classification Project, I aim to find the likelihood of a customer leaving the company, the key indicators of churn as well as the retention strategies that can be implemented to avert this problem | Completed | Medium |
| P4 | Embedding Machine Learning Model into GUI | In this project, I will embed the already-built models from the Regression and Classification projects into a Graphic User Interface (GUI). These machine learning model will be integrated into an existing production environment to make practical business decisions based on data. | Completed | Medium |
| P5 | The Sentiment Analysis Project | In this project, I finetune a pre-trained machine learning model to assess if a Twitter post related to vaccinations is positive, neutral, or negative. This solution could help governments and other public health actors monitor public sentiment towards COVID-19 vaccinations and help improve public health policy, vaccine communication strategies, and vaccination programs across the world. This project serves as an introduction to Unstructured data exploitation, especially Natural Language Processing data, using ML. The fine-tuned machine learning model will be used to used to create a Gradio app that will be hosted on Hugging Face. |
Completed | Medium |
| P6 | Embedding Machine Learning Model into a Web Application | In this project, I create a machine learning model from sepsis dataset. Also, I will create an API that will integrate the ML model using FastAPI. The App will interact with the model to classify the sepsis illness. Finally, I will containerize my application with a docker. | started | Medium |
| CP | Capstone Project - Customer Churn Prediction |