Data Mining Project
Data Mining Project is a systematic approach leveraging Artificial Intelligence (AI) and Machine Learning (ML) to extract valuable insights from diverse datasets. Through meticulous data collection, preprocessing, and feature engineering, to ensured the accuracy and relevance of the information. The project needs an ML strategy that involves carefully selecting ML algorithms, training, and fine-tuning models, and evaluating their performance against established metrics. Using Artificial Intelligence (AI) algorithms and computational techniques, extract meaningful insights from large cost data sets
Implementation requires the following processes
Cleaning and classification of data:Text Classification by utilizing NLP-based machine learning models
Automatic Categorization: NLP models can automatically categorize and classify textual information, aiding in tasks like sentiment analysis or document categorization.
Forecasting: AI models, such as predictive analytics algorithms, can be trained on historical cost data to predict future budgets and estimates. This is valuable for forecasting, resource allocation, and risk management.
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