Trending Machine Learning Projects For Final Year Students

By Author: sidharthh08877
Total Articles: 99
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Machine Learning Titles are :
1. Product Demand Forecasting
2. Credit Card Fraud Detection using Machine Learning
3. Smart E-Health Prediction System
4. Sales Prediction with Machine Learning

1. Product Demand Forecasting :
Important factor that affects the process of meeting consumer demand and optimizing inventory management is anticipated product demand forecasting. The three types of time series models, i.e. ARIMA (Autoregressive Integrated Moving Average), SARIMA (Seasonal Autoregressive Integrated Moving Average) and LSTM (long short-term memory) approach to demand forecasting are the main focus of the this study.

2. Credit Card Fraud Detection Using Machine Learning :

Under the umbrella of a very sophisticated approach that includes such things as algorithms and pattern recognition, machine learning is used to improve the safety of transactions in credit cards which are a means of online financial activity as well. It is the full identification of a specific credit card transaction patterns that gives a way to fraud occurrence. Such data will then help machine ...
... learning applications that could detect such patterns and subtle anomalies that are features of fraudulent activities

3. Smart E- Health Prediction :

A fun-facts way of implementing state-of-the-art technology, particularly machine learning and AI in health care is smart e-health prediction. This system surveys large quantities of data about patient health records, lifestyle choices, and environmental factors aiming at advising patients on problems they may have and providing preventive measure depending on patient's condition. Through smart e-health diagnosis, it can be predicated whether a disease or health failure is likely with the use of predictive modelling algorithms. It is the one that makes preventive actions available and aids in the establishment of individual healthcare schemes.

4. Sales Prediction with Machine Learning :

A retail demand and sales prediction use case for machine learning is presented in this research. Specifically, a prediction model is created using the Auto Arima algorithm in order to precisely anticipate the likely sales for retail locations. The Potential sales are predicted using a combination of economic and temporal factors, such as historical sales information, in-store promotions, retail rivals, store location and accessibility, and season. The process of developing the model was directed by analytical expertise gleaned from data analysis and common sense reasoning, and firm conclusions were reached.

Conclusion : To suit the demands of students, Takeoff Edu Group provides a vast array of academic projects with the best expertise and assistance. All of these are mentioned Machine Learning Projects are accessible.