Predictive Analytics (AL-702 (C)) - Important Questions

Explain the steps for building a successful data product strategy.

Explain the different types of data products based on their functionality with suitable example.

What steps are involved in converting a string to a JSON Array? Explain with a code.

What are CSV and JSNO files in Python? Explain how you will read these files in python?

Explain the different libraries available for Text processing in Python.

Calculate the average, variance and standard deviation in Python using NumPy.

What is Data Extraction? Explain Data Extraction Tools and Techniques available in python.

Write a Python code to inverse the matrix using Python libraries.

Write a Python program to display a bar chart for student marks.

Explain the main purpose of Matplotlib and its applications in data visualization.

Explain how you will implement Linear Regression using Gradient Descent.

Explain the steps involved in using a gradient descent technique in TensorFlow.

Write a short note on any two:

Explain precision and recall classification with help of example.

Explain different methods for evaluating classifiers with help of example.