Human activity recognition is the problem of classifying sequences of data recorded by specialized harnesses or smart phones into known well-defined Human activities. It is a challenging problem as the large number of observations are produced each second, the temporal nature of the observations, and the lack of a clear way to relate data to known movements increase the challenges.
Let’s start with Importing necessary libraries which are using in this project.
Now to combine both the data frames
Then run the following code in the another cell
Gold has always held a prominent place in every country’s economy and among the people. In this article, I will introduce machine learning on Gold Price Prediction with Python language.
Gold prices have historically skyrocketed, peaking at $ 1,800 in 2020. These swings that gold has faced can be attributed to several events that occurred during the period. Stock prices are strongly correlated with public information and world events, and gold is no exception. Unlike other financial assets, precious metals behave positively in times of crisis. Indeed, in the face of events such as epidemics, wars, and economic disruption, most…
In this article, I have shown how to write a program to correct spellings with the Python programming language. For this, I used an NLP library in Python, which as known as TextBlob.
At first, we need to know that what is TextBlob?
TextBlob is a Python library for processing text data. It provides a simple API for delving into common natural language processing tasks such as tagging part of speech, extracting nominal sentences, analyzing feelings, classifying, translating, and more.
Sometimes It provides some very useful features for Machine Learning projects like:
What is React:
Skills to learn React:
1. HTML & CSS
4. Package manager (Npm)
5. Git and CLI
The Render Function: React renders HTML to web page by using a…