Category: Learning modules
MySQL was first released in the mid-1990s. It has evolved into one of the most widely adopted RDBMS platforms across academic, commercial and open-source communities. The rationale for adopting MySQL in an applied research environment rests primarily on its balance between accessibility and scalability. Unlike proprietary systems such as Oracle Database or Microsoft SQL Server, […]
module-59, mysql, mysql basicsA relational database management system (RDBMS) helps to store and manage such structured data as tables efficiently.
module-59, mysql, mysql basics, PowerBIThis article focuses on social sustainability, a critical component for fostering societal well-being across generations.
module-50, python, secondary data analysis, sustainability report analysisThis article explores a robust, adaptive framework for incremental learning for sentiment analysis using the SGD Classifier.
coding, module-56, python-coding, sentiment analysis applicationWith the growing focus on managing the environmental impact of companies, more and more companies are integrating practices like renewable energy consumption or waste management to promote the overall development of the companies.
emission reduction, energy consumption, module-46, PowerBI, visualization, waste managementThe objective of this article is to attain the pain points escalating issue of body image among young adult and middle-aged women, analyzing factors contributing to such impacts, discussing their psychological and physical effects, and finally suggesting mitigation approaches.
literature review, module-22, secondary data analysisFeature engineering is used after the data preparation step which involves handling missing values, removing duplicates, detecting outliers, and encoding categorical variables.
feature engineering, module-56, sentiment analysis applicationIncremental learning also known as continuous learning is a crucial paradigm in machine learning that enables models to adapt over time. The world is generating an enormous amount of data, often in continuous streams, which makes traditional data analysis methods difficult.
coding, module-56, python-coding, sentiment analysis application