harbim001 Goto Github PK

analysing_nigerian_music_growth_globally

This research study employs a mixed-methods approach to analyze the global growth of Nigerian music, utilizing data from Spotify, UK Charts, and the Billboard Hot 100. Various data analysis techniques like descriptive statistics and sentiment analysis are applied, alongside predictive models like 1D CNN and Decision Trees.

bash-for-beginners

Sample code for Bash for Beginners course

clouduploader-cli-project

CloudUploader: A Bash CLI tool for easy and efficient uploading of files to Azure Blob Storage, with features for seamless authentication and shareable link generation.

harbim001

Config files for my GitHub profile.

rgu-aquaculture_data_project_1

This project uses R to analyze fish escapes from cages and corresponding water analysis data. Data preparation and exploratory analysis are key components. Run the `.rmd` file in RStudio to view the analysis.

rgu-aquaculture_data_project_2

This repo hosts an Aquaculture Data Project focused on supervised learning experiments for both classification and regression tasks. Utilizing the 'escapesClean.csv' dataset, models such as Logistic Regression and Random Forest Regressor are built. An R Shiny app for real-time predictions is also included for model deployment.

sales_forcasting_with_-ml

sales_forcasting_with_ml

Machine learning project for sales forecasting using historical data. Built with Python, featuring EDA, Random Forest modeling, and performance evaluation.

skills-code-with-codespaces

My clone repository

skills-communicate-using-markdown

My clone repository

skills-introduction-to-github

My clone repository

skills-introduction-to-github.

My clone repository

skills-secure-code-game

My clone repository

x-ray_image-_classification_for_body_parts

This project is focused on classifying X-ray images of various body parts using machine learning algorithms. Multiple experiments were conducted utilizing Neural Networks and feature extraction techniques, with metrics like F1-score and ROC AUC for performance evaluation.