Capgemini Data Scientist Interview Questions, Process, and Tips

Machine learning algorithms are used to train models on data to make predictions or decisions.

• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve an agent learning through trial and error.

• Examples of machine learning applications include image recognition, ...read more

Model evaluation techniques are used to assess the performance of a machine learning model.

• Common techniques include cross-validation, holdout validation, and bootstrap validation.

• Metrics such as accuracy, precision, recall, and F1 score can be used to evaluate model performance.

• Visualizations such as confusion matrices and ROC curves can also aid in model evaluation.

• It is important to use multiple evaluation technique...read more

I am proficient in several technologies including Python, SQL, and Tableau.

• Python

• SQL

• Tableau