Sabudh Data Science Internship(2021)

 In this week, we deep dive into Machine Learning concepts. Here we learnt that in Machine Learning we are trying to approximate a function that maps the real-world problem. And also get knowledge about Functional Form, Cost Function and Search Algorithm.  we have also learned about Inductive bias, Bernoulli Distribution, Gaussian Distribution and the basics of Bayes rule and Logistic Regression.

    In this week we were introduced to Sabudh Foundation . This year's internship was online mode due to the widely known Covid-19 pandemic. On the first and second day we were introduced to Sabudh , mentors, and with co-founder (Sarabjot Singh Annand). Then Sarab sir  Sarab sir started the first module of data science i.e introduction to data science. Simultaneously  we had sessions on numpy and pandas library. And also a session on Data Visualization using seaborn and matplotlib.   In this week we covered important concepts such as what a Population is, what is a representative sample of a population, what is a hypothesis space, parameters using simple toy examples. The focus was on gaining an understanding of what Machine Learning really boils down to....search in parameter space!