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Perceptron in Machine Learning

Perceptron is one of the simplest architecture of Artificial Neural Networks in Machine Learning. It was invented by Frank Rosenblatt in 1957. In this article, I will take you through an introduction to Perceptron in Machine Learning and its implementation…

How To Improve Data Science Skills?

If you’ve just started learning data science, but aren’t sure what to do next to improve your data science skills, this article is for you. In this article, I will walk you through how to improve your data science skills…

Currency Exchange Rate Prediction with Machine Learning

Currency exchange is one of the biggest financial markets. Currently, 1 United States dollar is equivalent to 73.02 Indian rupees. Many factors affect exchange rates such as economic, political and even psychological factors. The prediction of the currency exchange rate…

Data Science Case Studies on Classification

Working on case studies is one of the best practices that will help you improve your problem-solving skills as a data scientist. In this article, I’m going to introduce you to some of the best data science case studies based…

Get Live Weather Updates using Python

Have you ever thought about making an application where a user gives the name of a city and gets live weather updates about that city as an output? Well, in this article I am going to walk you through how…

Soft Skills that Every Data Scientist Should Have

Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain soft skills that you must have other than the technical skills to become a Data Scientist.…

Bias and Variance using Python

When training a machine learning model, it is very important to understand the bias and variance of predictions of your model. It helps in analyzing prediction errors which help us in training more accurate machine learning models. In this article,…

Types of Neural Networks

A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…

Sales Prediction with Machine Learning

Forecasting sales is a difficult problem for every type of business, but it helps determine where a business should spend more on advertising and where it should cut spending. In this article, I will walk you through the task of…

PyTorch or TensorFlow for Deep Learning

Both PyTorch and TensorFlow have been used in industry for a long time. These two frameworks are the best in the features they provide for deep learning. So what should you learn? In this article, I’ll walk you through what…

What is Multicollinearity in Machine Learning?

When working on regression-based machine learning problems, sometimes we find that several independent features correlate not only with the dependent features but also with each other. This is what multicollinearity means. In this article, I’ll take you through an introduction…

Most Important Data Visualizations in Data Science

Data visualization helps to understand the data you are working on. Data is a collection of numbers, and we humans can better understand the relationship between characteristics by visualizing them rather than simply comparing numbers. In this article, I’ll walk…

Kernel PCA in Machine Learning

Kernel PCA is one of the variations of principal component analysis in machine learning that uses kernel methods to perform the initially linear operations of principal component analysis. In this article, I will take you through an introduction to Kernel…