The Knowledge Hub

Introduction Everyone have a different view to the data, you can extract insights from the data and another one extract different insights from the same data.Also the different audiences have different informational needs, so when you’re building your dashboard ask ...

Natural Language Processing ( NLP ) has been one of the most challenging areas in deep learning. This is due to several reasons. First, human language is complicated, even for humans themselves!  Consider asking someone about his experience in learning ...

Introduction Data aggregation is the process of gathering and expressing data in a summary to get more information about particular groups based on specific conditions. HiveQL offers several built-in aggregate functions, such as max, min, avg,..etc. It also supports advanced ...

For any professional or beginner in the data field, regardless of your specialty or technology you will work on, you will hear about one or more of the following concepts, and we can say it is absolutely important for any ...

Introduction ETL is one of the major tasks for any data engineer, and we have many solutions either on-premise or cloud solutions available in the market to implement this concept, in Microsoft Azure, Azure Data Factory is the ETL solution ...

Neither Titanic dataset nor sklearn a new thing for any data scientist but there are some important features in scikit-learn that will make any model pre-processing and tuning easier, to be specific this notebook will cover the following concepts ColumnTransformer ...