Data Science Bootcamp Instructor (AI/ML Training)
Classification
I taught students principles of machine learning and data science with hands-on practice in data preprocessing, model training, and experimentation. The bootcamp curriculum included training students on deep learning with CNNs and neural networks, focusing on classification and forecasting tasks. Students learned to handle real-world datasets for tasks relevant to AI model training and evaluation.
• Introduced students to supervised and unsupervised learning methodologies.
• Delivered sessions on model evaluation, feature engineering, and result interpretation.
• Facilitated experiments using Python libraries including NumPy and Pandas.
• Guided students through time-series forecasting with ARIMA and Prophet models.
I taught students principles of machine learning and data science with hands-on practice in data preprocessing, model training, and experimentation. The bootcamp curriculum included training students on deep learning with CNNs and neural networks, focusing on classification and forecasting tasks. Students learned to handle real-world datasets for tasks relevant to AI model training and evaluation. • Introduced students to supervised and unsupervised learning methodologies. • Delivered sessions on model evaluation, feature engineering, and result interpretation. • Facilitated experiments using Python libraries including NumPy and Pandas. • Guided students through time-series forecasting with ARIMA and Prophet models.
2023 - 2024