NetTech Interview Questions, Process, and Tips

Supervised learning is a type of machine learning where the model is trained on labeled data.

• In supervised learning, the algorithm learns from labeled training data, where each example is a pair consisting of an input object and a desired output value.

• The goal is to learn a mapping from inputs to outputs in order to make predictions on unseen data.

• Common examples of supervised learning algorithms include linear regress...read more

Exceptions in Python can be handled using try-except blocks to gracefully handle errors and prevent program crashes.

• Use try-except blocks to catch and handle exceptions in Python code

• Specify the type of exception to catch or use a generic except block to catch all exceptions

• Use the else block to execute code only if no exceptions are raised

• Use the finally block to execute cleanup code regardless of whether an exception...read more

Managing data stream involves collecting, processing, storing, and analyzing data in real-time.

• Use data streaming platforms like Apache Kafka or Amazon Kinesis to collect and process data in real-time

• Implement data pipelines to efficiently move data from source to destination

• Utilize data warehouses or databases to store and manage large volumes of data

• Use data visualization tools like Tableau or Power BI to analyze and...read more

Python and SQL coding are essential for data science. ML algorithms are used for predictive modeling.

• Python is used for data cleaning, manipulation, and visualization.

• SQL is used for data querying and manipulation in databases.

• ML algorithms are used for predictive modeling and classification tasks.

• Examples of ML algorithms include linear regression, decision trees, and neural networks.