Category: Learning modules
The 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 applicationObject-oriented programming (OOP) is a fundamental approach to problem-solving and structuring lines of code. Instead of focusing solely on logic or functions, with this approach, a software solution is organised around objects.
code design, code structure, module-49, python-coding, sample programHigh Aggregate Technical and Commercial (AT&C) losses are one of the major challenges affecting the power distribution efficiency in India.
empirical review, industry overview, literature review, module-35, Power and energy sectorRAPIDS cuDF provides a pandas-like interface but is designed to leverage NVIDIA GPUs for accelerated data processing using CUDA.
coding, goal-2, milestone-546, module-56, python-coding, sentiment analysis applicationThe overwhelming volume of social media data has created complex challenges for digital governance and policy-making, particularly in identifying and addressing social bias embedded in online discourse.
basics of sentiment analysis, module-56, python-codingFine-tuning a pre-trained model involves taking a model already trained on a large, general dataset and adapting it to perform well on a smaller, specific task dataset. Transformers is a library of several pre-trained large language models (LLMs) available as open source for training and inference (Hugging Face, n.d.-b). Transformer models are language models that […]
basics of sentiment analysis, module-56, python-coding