Category: Learning modules
Object-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-codingThe study analyzes the various environmental indicators used by companies to report their sustainability efforts. using Principal Component Analysis (PCA), a statistical technique, to reduce the number of environmental indicators to the most relevant ones.
module-50, python-coding, secondary data analysis, sustainability report analysisMachine learning is a transformative branch of artificial intelligence (AI) focused on developing algorithms that enable computers to learn from data (Talwar & Kumar, 2013). Instead of following rigid, predefined rules, machine learning systems improve their performance over time by identifying patterns and relationships in data.
basics of sentiment analysis, module-56, python-coding, regression analysisThe Valence Aware Dictionary and Sentiment Reasoner (VADER) is a lexicon-based sentiment analysis tool that uses a lexicon dictionary to assign predefined sentiment scores.
basics of sentiment analysis, module-56, python-coding