Stochastic gradient descent is a machine learning algorithm that is used to minimize a cost function by iterating a weight update based on the gradients. If you’ve never used the SGD classification algorithm before, this…
Sentiment analysis is one of the popular examples of how businesses are using natural language processing in their applications. In most companies, today sentiment analysis is widely used to analyze a customer’s feelings by analyzing…
Detecting spam alerts in emails and messages is one of the main applications that every big tech company tries to improve for its customers. Apple’s official messaging app and Google’s Gmail are great examples of…
There are so many amazing features in a smartphone for typing today, like converting a user’s handwriting to text, but what if you want to convert text to handwritten text? If you want to know…
One of the common tasks in natural language processing is sentiment analysis. If you want to work on a project based on natural language processing, sentiment analysis will be a good choice. Before you start…
In machine learning, variance is the difference between the actual samples of the dataset and the predictions made by the model. When working on a regression-based machine learning problem, it is very useful to know…
There are so many courses available today based on machine learning because the use of machine learning in the industry is increasing rapidly. I’ve seen a lot of courses that are expensive but still don’t…
The number of billionaires in a country says a lot about the business environment, startup success rate, and many other economic features of a Country. So if you want to learn more about how we…
Data visualization helps get a clear picture of the dataset you are working on because we humans can understand things better by combining colours and graphics instead of just numbers. Some amazing data visualization tools…
You must have checked the speed of your internet connection once in your life using platforms like speedtest.net. Have you ever thought about doing the same with Python? Well if you want to learn how…
There are many programming languages for web development today. Some of them only focus on front-end development or back-end development, while some focus on full-stack development. So, if you don’t know which programming language to…
The R2 score is one of the performance evaluation measures for regression-based machine learning models. It is also known as the coefficient of determination. If you want to learn how to evaluate the performance of…
If you want to become a Data Scientist, you must have started learning how to work with data and machine learning algorithms. If you think that the job of a Data Scientist is only to…
Microsoft is today one of the largest technology companies with more than 163,000 employees worldwide. It is known for the Windows operating system which is one of the most popular computer operating systems. If you…
It is very important to work on as many machine learning projects as possible to land your first job as a Data Scientist or Machine Learning Engineer. When you show up for your interview, you…
The font that appears in the output of your Python program is the default font for your operating system. Changing the font of your output may not be possible without using an external library. This…
The sequence of steps we need to take to solve a particular problem is known as an algorithm. There are so many algorithms in computer science that fall under the categories of different types of…
Lazy Predict is a Python library designed to compare the performance of various machine learning models on a dataset. If you don’t know how to select an algorithm when training a machine learning model, this…
Python is a versatile programming language loved by so many data scientists, web developers, and even software engineers. To master Python for any profession, the most important step is to master the fundamentals of the…
Gender detection is one of the popular computer vision applications. When you use a camera to detect a person’s gender instead of detecting it on a picture, it can be said to be a real-time…