DEV Community: Hasaan Maqsood

Different data science tasks

Hasaan Maqsood — Thu, 17 Feb 2022 04:31:52 +0000

Open source tools are available for various data science tasks. In this article, we’ll have a look at the different data science tasks. we’ll walk through the most commonly used open source tools for those tasks. The most important tools are covered.

Data Management is the process of persisting and retrieving data. Data Integration and Transformation, often referred to as Extract, Transform, and Load, or “ETL,” is the process of retrieving data from remote data management systems.

Transforming data and loading it into a local data management system is also part of Data Integration and Transformation.
Data Visualization is part of an initial data exploration process, as well as being part of a final deliverable.

Model Building is the process of creating a machine learning or deep learning model using an appropriate algorithm with a lot of data.

Model deployment makes such a machine learning or deep learning model available to third-party applications.

Model monitoring and assessment ensures continuous performance quality checks on the deployed models. These checks are for accuracy, fairness, and adversarial robustness. Code asset management uses versioning and other collaborative features to facilitate teamwork.

Data asset management brings the same versioning and collaborative components to data. Data asset management also supports replication, backup, and access right management. Development environments, commonly known as Integrated Development Environments, or “IDEs”, are tools that help the data scientist to implement, execute, test, and deploy their work. Execution environments are tools where data preprocessing, model training, and deployment take place. Finally, there is fully integrated, visual tooling available that covers all the previous tooling components, either partially or completely.

What Do you Learnt This weak.

Hasaan Maqsood — Sun, 29 Aug 2021 08:02:52 +0000

Share Your Journey of learning. What are your plans to do. As In TECH industry.

How to DOUBLE Your Productivity

Hasaan Maqsood — Wed, 25 Aug 2021 04:20:14 +0000

this is how you can double your productivity and get twice as much done within your 24 hours use productivity apps to read a non-fiction book it takes about eight hours to read but realistically in each book there's usually only three or four main key points use book summary apps such as shortfall which will give you the key points in just 15 minutes when commuting commuting is one of the longest periods of time where you're not actually doing anything productive turn this dead time into productive time by listening to audiobooks or your university lectures isolate yourself turn off everything your phone your emails all notifications tell everyone that you're intensely busy for the next few hours and focus on just one single task without interruptions set your goals the night before at night write down three or four things that you need to do the next day don't write everything you need to do with this system as soon as you wake up in the morning you'll know exactly what you need to do.