Let’s explore the popular projects
Introduction
Do you want to learn machine learning and data science faster? If yes, then there is no alternative to doing hands-on projects. Projects provide one of the best return of your time investment. I am sure you will enjoy implementing these projects and stay motivated in the realm of Machine learning.
Here is a detailed video with data set links about the Top 10 Projects for Machine Learning and Data Science.
Housing Price Prediction
Determining the housing price is very essential for decision making for buyers as well as sellers. In the real estate market, machine learning can be applied to optimize and predict the price of a house with high accuracy. There are a number of parameters that can be considered to predict the price of a house.
Regression is a machine learning algorithm that helps to make predictions by learning the relationships between the target label and a set of features. Housing price depends on features like the number of bedrooms, living area, location mainly. If we apply machine learning to these features we can calculate house valuations in a given geographical area.
Housing Price prediction is a machine learning regression problem.
You can get the data from here.
Sales Prediction
Sales prediction is very essential for decision making
allows businesses to predict how much revenue to expect in a given time frame. This information helps businesses to make informed decisions and estimate performance in the short and long terms.
The sales prediction is the backbone of any business plan. We measure a business and its growth by sales, and the sales prediction sets the standard for expenses, profits, as well as growth.
Sales prediction is a machine learning regression problem.
You can get the data from here.
Diabetes Prediction
Diabetes is one of the deadliest and chronic diseases. It can cause an increase in blood sugar.
This diabetes dataset is taken from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.
Diabetes prediction is a machine learning classification problem.
You can get the data from here.
Sentiment Analysis
Sentiment Analysis is the technique of determining whether a text of writing is positive, negative, or neutral. It helps us in understanding public opinion, conducting market research, monitor brand reputation, and so on. Most importantly it also helps in understanding customer feedback for a product.
Sentiment Analysis is a machine learning classification problem.
You can get the data from here.
End Notes:
In this article, we discussed the Top 4 Projects for Machine Learning and Data Science and I hope you found this article useful.
You may like to explore more projects and learn hands-on machine learning in the process.
Happy Learning !!
