We’ve all come across the statement, “garbage in, garbage out!”. If you work in a data field, this statement hits differently. The use of data in the business setting has become synonymous with productivity and efficiency. When working with data, high-quality data is needed to get the most relatable and…

An overview of Growth Hacking Concept. Growth hacking is primarily about the lean approach to digital marketing and growth. It involves low consumption of resources and costs to retain an active user base, increase sales and gain traction. …

As a data scientist, it’s not all the time that you will be working with data in CSV format. …

The Kenya Data Protection Act of 2019 and the General Data Protection Regulation (GDPR) are both laws that establish rules for the collection, use, and protection of personal data. Here is a comparison of the two laws: Scope of the Laws One key difference between the Kenya Data Protection Act of 2019 and the…

The success of any business relies mainly on its customers and how much the customers value the products provided by that business. However, it’s not always the case that a business gets it right the first time When delivering products to the customers. Data Science is one of the solutions…

Pricing Optimization with ML Pricing optimization is the process of pricing goods and services to meet the set objectives such as maximizing profits, getting new customers, clearing certain items, etc., by considering various pricing factors such as competitor pricing, customer demands, market conditions, and customer profiles. Successful price optimization is…

Data is an essential resource today. All businesses should be using it or working to have data-centric operations. This is in line with growth and competitive advantage for all companies. However, there is a limit to what data can be collected, stored, and processed. …

Applications of Unsupervised Machine Learning Models — Supose you own a supermarket which offers loyalty cards to the customers. From these cards, you get the customer demograhic data. You also get their spending data which you assign a score based on parameters that you define based on the customer behavior. Problem statement You want to understadn the customers according…

Unsupervised Machine Learning In unsupervised Machine Learning, the data is unlabeled therefore, the system attempts to learn from the data without depending labels. The system attempt to identify patterns in the data and assign them labels based on how the attributes are related. A large portion of the available data…