Machine Learning-Based Data Preprocessing as well as Visualization Techniques for Predicting Students' Tasks

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A student's chances of landing a job after graduation are influenced by their performance in school and their history of academic accomplishment. Students who want to succeed in the working world need to develop skills including technical proficiency, critical thinking, and effective communication. Here we are making an attempt to figure out how students' academic performance affects their future opportunities. Algorithms for data mining play a key role in analysing and forecasting the chance for students' placement according to their previous academic achievement. We polled students at a prominent technical institution for this piece. Multiple factors that influence students' probabilities are included in the dataset, and these factors are examined and shown graphically. We made an effort to assess the data and provide visualisations and insights before running or applying algorithms for machine learning to this dataset. Data analysis, understanding, and preparation are the key focuses of this research.