Python with Data Science Training

CRAW Security invites applicants or candidates for its 2020 Summer Internship Program in Computer Science Summer Internship, Machine learning Summer Internship, Python with Machine learning Summer Internship, Artificial Intelligence Summer Internship, Information Security Summer Internship, Networking Summer Internship, Web Development Summer Internship, Software Development Summer Internship, Management and Marketing Summer Internship at its locations in New Delhi. We are seeking highly motivated students, who are interested in experiencing an exciting Summer of research. The selected students will have the opportunity to work closely with an outstanding research team on challenging problems that range from leading-edge exploratory work to prototyping real-world systems and applications. During the internship, the students will also have the opportunity to participate in the workshops, competitions, events, live projects of the largest industrial research organization in the world and network with other top students in different fields from other universities. We offer internship positions in various research.

Python is very easy it is like a basic English language you can simply read and understand what the code is doing and it is high level programming language used for writing python scripts, GUI apps, webpages, Games, also used in machine learning, Data science, Artificial Intelligence.

About Data science so in data science it is used for handling data because the data is in very messy form in the real world so in data science we first clean the data that is data wrangling. Data wrangling is done like we remove the missing values because there are missing values present in the data. Some data is also irrelevant that is of no use so we remove those columns from the data also there is the data that is in text format that cannot be used for further process so you have to convert that string data into numbers format so that it can feed into further processes and we have to show the graphical representation of the data for the better understanding of the data. For that we use libraries like NumPy, Pandas, Matplotlib.