Dr. Pradeep K Mavuluri

Years of Experience in Data Science Classes

15

Years of Experience in Data Analysis Classes

18

Teaching Experience in detail in Data Analysis Classes

In recent past when time series forecasting is done using Machine/Deep Learning techniques, forecasters are either not understanding or paying minimal attention towards imbalanced time series (unusual difference between normal and special time period values) which is regular phenomenon; for instance, electricity consumption, traffic predictions, footfall predictions to stores, etc. Machine/Deep Learning models often struggle with these imbalances because they lean heavily on the training data predominant patterns. Holidays and special events, being infrequent, don't leave a significant footprint in these models. Hence, generation of temporal features and considering time-varying models provide more accurate forecasts and also marketing effectiveness.

Years of Experience in Python Training classes

18

Teaching Experience in detail in Python Training classes

Data Science/Machine Learning is not just about the numbers or the algorithms or recent hype about coding; it's more about understanding the context in which the data exists and effectively communicating findings to a diverse audience. Hence, "human touch" in data science is crucial, it involves interpreting results in a way that makes sense for decision-making, considering ethical implications, and understanding the broader impact of data-driven insights in a classroom mode more effective.

Years of Experience in R Programming

18

Teaching Experience in detail in R Programming

Data Science/Machine Learning is not just about the numbers or the algorithms or recent hype about coding; it's more about understanding the context in which the data exists and effectively communicating findings to a diverse audience. Hence, "human touch" in data science is crucial, it involves interpreting results in a way that makes sense for decision-making, considering ethical implications, and understanding the broader impact of data-driven insights in a classroom mode more effective.

Years of Experience in Deep Learning Training

18

Teaching Experience in detail in Deep Learning Training

Data Science/Machine Learning is not just about the numbers or the algorithms or recent hype about coding; it's more about understanding the context in which the data exists and effectively communicating findings to a diverse audience. Hence, "human touch" in data science is crucial, it involves interpreting results in a way that makes sense for decision-making, considering ethical implications, and understanding the broader impact of data-driven insights in a classroom mode more effective.