Data scientist professional with a knack for artificial intelligence and computer vision. Ambitious, creative, and resourceful with a business mind. AI IBM Certified professional with two years of experience managing data science projects.
Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.
Learn how to build a model that is able to detect fraudulent credit card transactions with high accuracy, recall and F1 score using Scikit-learn in Python.
Learn how to perform data analysis and make predictive models to predict customer churn effectively in Python using sklearn, seaborn and more.
Learn the importance of dropout regularization and how to apply it in PyTorch Deep learning framework in Python.
Build a recommender system for market basket analysis With association rule mining with the Online Retail dataset in Python.
Learn how you can perform K-Fold cross validation technique using the scikit-learn library in Python.