Consider you have access to a dataset that specifies the weather which occurred in your city during a particular season over the past 5 years. You intend to know the expected weather during that specific season for next year. Which machine learning approach is the best in predicting the outcome based on the existing data in the original dataset i.e., weather, geographic area, season and month.

There are three basic approaches in machine learning. Match the machine learning approach based on the given description.

Which charge carrier has lower mobility for an intrinsic semiconductor?

Pure Si is known as an intrinsic semiconductor.  As the temperature of pure Si increases, what do you expect to happen to the conductivity?

As we increase the temperature of extrinsic semiconductor Si we expect the conductivity to

The bandgap of Germanium and Silicon are 0.67eV and 1.11eV, respectively.  How do you expect the conductivity of pure Ge to compare with that of pure Si at the same finite temperature?

Si has an atomic number of 14.  This means it has 4 electrons in its valence shell (the 3rd shell).  How many other Si atoms does each Si atom bond with to form solid Si?

Semiconductors exhibit resisitivities that fall between those of conductors and insulators.  Typical resistivity ranges for semiconductors are:

Dopants are added carefully to Si to make it an extrinsic semiconductor.  Which elements can be used as dopants for Si?

The majority charge carrier in p-type extrinsic semiconductor Si in the extrinsic regime are