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Definition of the problem statement: This is the first step in a data science project. It’s a brief description of the kind of problem you are trying to solve. For instance do you want to recommend products to clients or you want to predict the price of Cryptocurrency. Data collection:  Data collection is the process […]

Google Colab:  Google Colaboratory or “Colab” for short, is a product from Google Research. Google Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Google Colaboratory is a platform built on top of the Jupyter Notebook environment, It provides

  There are several python frameworks for data science. In this article, we will examine the popular ones. PyTorch: PyTorch is a framework that is perfect for data scientists who want to perform deep learning tasks easily. The tool allows us to perform tensor computations with GPU acceleration. It’s also used for other tasks for

Data visualization is essential to analyze massive amounts of information and make data-driven decisions. Data Visualization involves producing images that communicate relationships among the represented data to viewers of the images. By using visual elements like charts, graphs and maps. Data visualization tools provide an accessible way to see and understand trends, outliers, and patterns

Data visualization is essential to analyze massive amounts of information and make data-driven decisions. Data Visualization involves producing images that communicate relationships among the represented data to viewers of the images. By using visual elements like charts, graphs and maps. Data visualization tools provide an accessible way to see and understand trends, outliers, and patterns

Data Science courses flood the internet at a very high price and some of  them ain’t worth it. In this article, I curated a list of platforms that teach data science online at a little or zero price. DataCamp: DataCamp is one of the top platforms to learn data science from. You learn the data

As everything that is good has its bad side, Artificial Intelligence has its disadvantages. However we need to take care of it and ensure that the benefits are used to make lives better. Let’s examine some of the risks. High Costs: The costs of producing AI machines is high, Apart from the cost of production,

The advantages of Artificial intelligence cannot be overemphasized, we explained some of the benefits below: Reduction in human error: Humans are prone to make mistakes but machines that are programmed properly are accurate. Machines make decisions from data previously gathered after applying some certain algorithms. This reduces errors and makes the chances of attaining accuracy

It’s no news anymore that Artificial Intelligence will change the way we do things and also improve our lives. In this article, I explained how Artificial Intelligence will improve our dear country(Nigeria). Education: AI will improve education in Nigeria in several ways,  Artificial intelligence can be used to automate grading tests, this means that teachers