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 JSON files in Python? Explain how you will read these files in Python?

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

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

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

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

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

What is over-fitting and under-fitting? Explain with example how to identify and avoid them.

Explain how you will implement Linear Regression using Gradient Descent.

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

Explain precision and recall classification with help of example.

Explain different methods for evaluating classifiers with help of example.

Write a short note on any two: