Data imported from a website that provides job reviews. The website wants to analyze texts and the corresponding rating that is provided by the user about startups. Based on the texts, try to verify if it corresponds to the score provided by the reviewer. Development of a model for this task can help the website to rank user's reviews or ratings.
Evaluation metric: Accuracy, F1-score.
Main Topics Covered : Data Cleaning & Visualisaton, Missing value Imputation, Feature Engineering, Over-sampling, Model Building, hyper-parameter tuning, Multi-class Classification. Models used: Logistic Regression, RandomForest Classifier and XGB Classifier.