BrainyBeam-Summer-Internship-Tasks

• This Repository contains the tasks performed as a Data Science Intern at BrainyBeam Technologies Pvt. Ltd.

Task-1

• Aim: Build a Python Program which takes input of the students with their marks and gives their total marks obtained as output in a frame using numpy and pandas.

Task-2

• Aim: List out the methods used commonly in list, set, tuple and dictionary with their rules.

Task-3

Task-3(A)

• Aim: Random module functions with explanation.

Task–3(B)

• Aim: Build a password generator program containing numbers, alphabets and characters.

Task–3(C)

• Aim: Write a note about NLP, NLU and NLG with example.

Task-3(D)

• Aim: Perform Text-To-Speech examples using gtts.

Task-4

Task–4(A)

• Aim: List out five methods of NumPy and pandas with output.

Task–4(B)

• Aim: reshape(-1,1) Explanation.

Task–4(C)

• Aim: Linear Regression working with mathematical equation.

Task-5

Task-5(A)

• Aim: Clean data from csv file (train.csv).

Task-5(B)

• Aim: Decision Tree Explanation.

Task-5(C)

• Aim: Random State Working.

Task-6

Task-6(A)

• Aim: Explain five parameters used in Decision Tree.

Task-6(B)

• Aim: Mention data cleaning methods and its working.

Task-6(C)

• Aim: Obtain 90% accuracy from train.csv dataset.

Task-6(D)

• Aim: Make a diagram explaining decision tree parameters with titanic dataset with equation.

Task-7

Task-7(A)

• Aim: Find Polarity of unique products using apply with Function.

Task-7(B)

• Aim: Use frequency distribution and pos tag from nltk.

Task-7(C)

• Aim: Make list of meta characters and make the pattern for email and phone number.