This repository is a selected compilation of my projects spanning my career practice in data analysis, data science, artificial intelligence, business process modeling and automation. These projects are meant to showcase skills as well as help others acquire highly demanded tech skills in modern enterprises.
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Datasets used for the analysis are located in the other Datasets repository. Find more datasets in my Kaggle Profile
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Data visualization files are located in the Data-Visualizations repository.
I've arranged sample projects by topic in the table below. Click on a topic of interest to navigate to project details.
| Topic | Summary |
|---|---|
| Quick Tips | Hacks that make you a pro in the tech field. These include CMD and shell commands, quck setting up IDEs and other how to-s |
| Data Analysis | Practical guides on Exploratory Data Analysis (EDA), data visualization, and data modeling using Excel and SQL |
| Supervised Learning | Selected real business problems of machine learning that use labeled datasets to train algorithms to predict outcomes and recognize patterns |
| Unsupervised Learning | Demonstration of machine learning algorithms that use unlabeled data to discover patterns and relationships in the data without any explicit guidance. |
| Reinforcement Learning | Learning to make decisions by performing actions in an environment and receiving rewards or penalties. |
| Natural Language Processing (NLP) | NLP powers many applications that use language, such as text translation, voice recognition, text summarization, and chatbots. |
| Computer Vision (CV) | Projects covering computer vision tasks such as object detection, tracking and image classification among others |
| Generative AI | Guides and projects for AI capable of generating text, images, videos, or other data using generative models, often in response to prompts |
| Business Process Modeling(BPM) | Learn the toolkits for - and the practice of - back-engineering each process in your business to understand the different components needed to achieve the goal and finding potential improvements for each component |
| Power Platform Developer | Contribute to the growth of Workplace Transformation by assisting enterprises adopt Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Pages, AI Builder) |
| Robotic Process Automation (RPA) | Business use-cases demonstrating identifying automation opportunities, creating efficient automated workflows, and maintaining and enhancing existing bots to improve business processes and operations. Features RPA tools, creating bots, workflows, and automation scripts |
This problem requires use of relevant machine learning steps and appropriate model to predict total sales using features like money spent on Advertising/Marketing. The analysis is based on Advertising Dataset. You can also download the dataset from Kaggle
Bard, a Large Language Model (LLM) by Google AI can be accessed in Jupyter Notebooks through the Bard-API Python package. Follow the steps below to start interacting with Bard in your jupyter notebooks;
To start using the projects in this repository:
- Clone the repo to your local machine:
git clone https://github.com/EngNormie/Projects-Portfolio.git - Navigate to the specific project directory and Start working on the project using the provided template code and following the project description.