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Machine Learning Project Ideas For Beginners
Are you a data scientist looking for certifications that will make you more employable in the industry? Do you want to prepare for various data scientist roles like a machine learning engineer? Prepare with a Machine Learning certification and watch your career grow.
Stock market prediction
Stock prices prediction is a machine learning beginner’s project aimed at predicting the future price of the stock market based on the previous year’s data. Technical analysis will use metrics like opening price, closing price, trading volume, and delivery, and qualitative analysis will use macroeconomic indicators like market status, company performance and financials, and so on
Loan prediction
Build a linear model to classify how much loan a user is eligible to take based on the user’s marital status, education, professional qualification, employment history, salary, number of dependents, and credit scoring.
Customer segmentation
Create a customer segmentation model. Customer segmentation is a technique in which customers are categorized based on their purchase history, gender, age, interest, ...
... buying preferences, cart abandonment, etc. This information is used for personalized marketing campaigns, customized recommendations, and discounted offers to customers based on the segments or categories.
Sentiment Analysis
Practice a sentiment analysis project on the Twitter platform to understand the sentiments of a particular political campaign. Mine the data using keywords and computational linguistics to understand the pulse and public sentiment.
App cab ride demand
Ride-hailing services or app cabs face different demands for rides during different times of the day and at various locations. Better forecasting at these ride-hailing services can help them manage surge pricing and send alerts to drivers based on the predicted demand for ride requests. It improves overall customer satisfaction.
Sales prediction
Forecast the total amount of products that are likely to be sold in a particular month with current daily sales data and sales of last year during the same period. Build a regression model to predict the sales of the given products for the month in a particular outlet.
Sales prediction helps in inventory management and stock up with the required amount of goods. Meeting customer demands ensures customer satisfaction.
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