Develop your data science portfolio with these 9 project ideas, including fraud detection, image classification and time series analysis.
• Endless NLP use cases: sentiment analysis, keyword extraction, summarizationOnce the data has been gathered, it can be preprocessed by having stop words, punctuation and other noise removed. The polarity of the review, or whether the sentiment indicated in it is favorable, negative or neutral, can then be determined by applying a sentiment analysis algorithm to the preprocessed language.
Using a machine learning model that uses housing market data, such as location, the number of bedrooms and bathrooms, square footage and previous sales data, to estimate the sale price of a particular house is one example of a data science project connected to predicting house prices. The model could be trained on a data set of past house sales and tested on a separate data set to evaluate its accuracy. The ultimate objective would be to offer perceptions and forecasts that might help real estate brokers, buyers and sellers make wise choices regarding price and buying/selling tactics.A customer segmentation project involves using clustering algorithms to group customers based on their purchasing behavior, demographics and other factors.
This analysis could provide insights into customer behavior, preferences and needs, which could be used to develop targeted marketing campaigns, product recommendations and personalized customer experiences. By increasing customer satisfaction, loyalty and profitability, the retail company can benefit from the results of this project.This project involves building a machine learning model to detect fraudulent transactions in a data set.
The end goal would be to provide an automated image classification system that can be used in various applications, such as object recognition, medical imaging and self-driving cars.This project involves analyzing data over time and making predictions about future trends. A time series analysis project could involve analyzing historical price data for a specific
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