Digital Marketing Blog

Data is nothing but a collection of bytes that combines to form a useful piece of information. It is further used to perform a complete analysis of a particular asset or achieving precise results. As we move into the 21st century, the concept of data has improved, and...

Machine learning in Python provides computers with the ability to learn without being programmed explicitly.  Machine learning, which is a type of artificial intelligence, has its main focus on developing computer programs that are dynamic to new data.  Python is a...

Curious to know what is big-data?  Then in the simples form, you can understand big data as the large volume of structured as well as unstructured data that overflows around the day-to-day channelization of a business.  However, the amount of the data is not...

Pandas DataFrame is data structures that are two-dimensional in approach along with the labels that correspond the same. Dataframes find relevance in the fields of machine learning, data sciences, scientific computations to other fields chalking out big data.  A data...

Artificial Intelligence has taken over and how. Revolutionizing the digital scene by shooting up the brand’s social visibility through marketing analytics and insightfulness is what AI stands for. How, why & what is data science combined provides the answers in...

Optimization is the new need of the hour. Everything in this world revolves around the concept of optimization.  It finds its use in normal production time to supply chain issues.  To solve these problems, we need optimization concepts. In the curriculum of a data...

Companies produce massive amounts of data every day. If this data is processed correctly, it can help the business to make better decisions fastidiously. Anomaly detection is a method of identifying outliers in the data.  Identifying these outliers at the initial...

A tree has various analogies in life, and thus, one of them has come to affect machine learning. The decision tree covers the aspect of both classifications as well as regression.  Classification and assembling data options is one of the most important steps....