Sep 2021 – Oct 2021 · 1 mo · Bengaluru, Karnataka, India

• Internship was on Machine learning using Python. I learnt various ML applications present in real-time, python basics, python various syntax, jupyter notebook essentials, ML classifications and examples, ML algorithms (linear regression, logistic regression, k-nearest neighbor, decision tree classifier, random forest classifier, XG-Boost, support vector machine, naïve bayes) and performed analysis on small programs.
• Project: Credit card fraud detection
• Credit card fraud detection is the process of identifying purchase attempts that are fraudulent which are not by legitimate user and rejecting them rather than processing the order.
• Here, credit card data is extracted in CSV form which is pre-processed and data audit is performed. This data is split into train and test . The train data contains features and test data contains target. With algorithm models, accuracy is evaluated. We predict result to train data and compare this predicted value with test data which leads to accuracy.