Machine Learning

How to work Dummy Variables in Linear Regression

In linear regression models, we employ the dummy variable strategy to build a model that can infer a link between features and the result. Dummy variables are categorical variables that we can introduce into a model, using the information provided within the existing dataset. The design and selection of these variables are considered components of feature …

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How to Fix “AttributeError: module ‘tensorflow’ has no attribute ‘placeholder’.” in Visual Studio Code

If you are new to Python and on your way to trying out in making a Machine Learning script and using TensorFlow. As you go your way in coding, and decided to test and run the program. An error appeared stating “AttributeError: Module ‘Tensorflow’ Has No Attribute ‘Placeholder’“. Then this article will provide you the fix …

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How to Fix “ModuleNotFoundError: No module named ‘tensorflow’.” In Visual Studio Code

If you are new to Python and on your way to trying out in making a Machine Learning script and using TensorFlow. As you go your way in coding, and decided to test and run the program. An error appeared stating “ModuleNotFoundError: No Module Named ‘Tensorflow’“. Then this article will provide you the fix in …

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How to Fix “ModuleNotFoundError: No module named ‘pandas’.” in Visual Studio Code

If you are new to Python and on your way to trying out in making a Machine Learning script. As you go your way in coding, and decided to test and run the program. An error appeared stating “ModuleNotFoundError: No Module Named ‘Pandas’“. Then this article will provide you the fix in your issue. This …

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How to Fix “ModuleNotFoundError: No module named ‘sklearn’.” in Visual Studio Code

If you are new to Python and on your way to trying out in making a Machine Learning script. As you go your way in coding, and decided to test and run the program. (ambien) An error appeared stating “ModuleNotFoundError: No Module Named ‘Sklearn’“. Then this article will provide you the fix in your issue. …

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History of Facial recognition

We’ve written a lot about Facial Recognition in our Market Leadership section, but we’ve never gone back to the beginnings of the technology or speculated on what the future might hold. Biometric Facial Recognition, which was once thought to be science fiction, is quickly becoming a part of people’s daily lives. Law enforcement, border control, …

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How does machine learning works?

The early stages of machine learning (ML) saw experiments involving theories of computers recognizing patterns in data and learning from them. Today, after building upon those foundational experiments, machine learning is more complex. While machine learning algorithms have been around for a long time, the ability to apply complex algorithms to big data applications more …

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Surgical Robots in the Market

Surgical Robots Market document makes to thrive in the competitive market by giving know-how of consumer’s demands, preferences, attitudes and tastes about the specific product. This market report estimates the growth rate and the market value based on market dynamics and growth-inducing factors. Additionally, businesses can get highly benefited from this information to decide on …

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How Far Can Robots Go?

Robot of the Future Ameca is the most advanced human-shaped robot in the world, representing the cutting edge of human-robotics technology. It is the ideal humanoid robot platform for human-robot interaction because it was designed specifically as a platform for development into future robotics technologies. Ameca, created by the British company Engineered Arts, went viral …

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