Cardiovascular diseases are a group of diseases that affect the heart and the blood vessels. They are a group of heart condition that include structural problems, blood clots, and diseased vessels. Some examples are high blood pressure, coronary heart disease, cardiac arrest, heart failure amongst others.
According to the WHO, cardiovascular diseases kill about 17.9 million people each year there by making this set of diseases the number one cause of death globally.
This project is based on the survival of patients who have heart failure. Heart failure is a condition that occurs when the heart is not pumping blood as it…
Machine learning is an application of AI (artificial intelligence) that gives systems the ability to learn and improve automatically with experience without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn on their own.
The learning process begins with observations or data, such as examples, direct experience, or instructions, to look for patterns in the data and make better decisions in the future based on the examples provided. The main objective is to allow computers to learn automatically without human intervention or assistance and to adapt actions accordingly. …
There are different countries all over the world, with their distinct histories, stories, cultures and traditions which has contributed to their forward/progressive development or otherwise.
One of such progressive developments that a lot of countries are trying to achieve is gender equality.
Over time, we have seen doors being shut against women, women being put down, passed over or disregarded for no reason other than the fact that they are women. In trying to tackle this issue of gender inequality, almost every country in the world has taken steps and is actively trying to make progress in this area.
For years, perhaps centuries, women across different generations have been fighting for equality and for the rights of women all over the world.
Over the past few years, there’s been a noticeable, but not good enough increase in women representation across different sectors, and politics/government is not excluded.
This dataset contains statistics from different countries on how women have been represented in the Parliaments of these countries.
The dataset was gotten from the European Commission, is being used by the European Union to monitor the Sustainable Development Goal 5 of Gender Equality, was visualized with the Tableau software and can…
Data wrangling, also known as data cleaning or data mungling is perhaps the most important step needed to transform raw data into a functional form that can be used for model building, data analysis, and visualization.
The aim of data wrangling is to make raw data ready for analysis. It includes all the work done to make the data ready, all the work done on the data before actual analysis of the data starts.
Usually, this entails restructuring, cleaning and preprocessing of the data. According to Express Analytics, it has been observed that 80% of data analysts spend most of…
Entertainment is part of our daily life, in such a way that we find ways to keep ourselves entertained consciously or unconsciously. Nobody likes being bored, and everyone finds something that interests them, that they enjoy to do.
Often, we try to spend our lives entertained. Be it with work, games, movies, friends, social media, one of our ultimate goals is to be and remain entertained.
Netflix Inc. is an American company that is providing entertainment to users all over the world through a streaming service which offers a plethora of films and television series.
Understanding Data Science and being an efficient data scientist starts from understanding probability and statistics. This is because they are the basics of data science and as such are very crucial to the understanding and practice of Data Science.
Probability theory is basically a branch of mathematics concerned with the analysis of random phenomena. It is the very foundation needed for statistical inference and by extension data analysis, is therefore essential for data scientists.
Probability is something we use in our day to day lives without even realizing it. When we look at the time and ask what the chances…