This is a trendy topic. Machine learning is the fastest-growing field today. The job market is skyrocketing. More and more universities are coming up with new courses. So many free…
What is Numpy? Numpy is an open-source Python library. This library is essential for data scientists. Some other essential libraries like Pandas, Scipy are built on the Numpy library. In Numpy…
Hypothesis testing is an important part of statistics and data analysis. Most of the time it is practically not possible to take data from a total population. In that case,…
Having a web profile is cool, right? It stays online for anyone to see and sharing it with anyone is just so easy. You can share your work or portfolio…
What is K mean clustering? K means clustering is the most popular and widely used unsupervised learning model. It is also called clustering because it works by clustering the data.…
What is the most important thing to do after you got your skills to be a data scientist? It has to be to show off your skills. Otherwise, there is…
KNN classifier is a very popular and simple machine learning model. It’s a memory-based supervised machine learning model. What is a supervised learning model? I will explain it in detail.…
The only way to learn data science, data analysis, machine learning, or artificial intelligence topics is by practicing or doing projects. There is no other alternative to that. But most…
Choropleth maps are one of the most interesting and useful visualizations. They are important because they can provide information for geographic location, they look beautiful and grab attention in a…
Confidence Interval(CI) is essential in statistics and very important for data scientists. In this article, I will explain it thoroughly with necessary formulas and also demonstrate how to calculate it…