Data Science and Machine Learning Quiz

1. Describe the Data Science Process and explore components interaction.2. Apply statistical methods for pre-processing and extracting meaning from data to the application dataset.3. Apply specific unsupervised machine learning algorithm for a particular problem.4. Apply specific supervised machine learning algorithm for a particular problem.5. Analyse the outcome in terms of efficiency.

The philosophy of Exploratory Data Analysis is to explore and analyze the data to gain insights and understand patterns and relationships.

The four phases of the Data Analytic Life Cycle are: 1. Discovery, 2. Data preparation, 3. Model Planning, and 4. Model Building.

The role of a Data Scientist is to analyze and interpret complex data sets to discover valuable insights and solve problems using statistical and machine learning techniques.

The drivers of Big Data are the factors that have led to the growth and importance of Big Data, such as the increasing volume, velocity, and variety of data being generated, the need for real-time analytics, and the availability of advanced analytics tools and technologies.