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Papers tagged with "Random Forest Algorithm"
AI-BASED CROP PRODUCTIVITY PREDICTING MODEL TO RESOLVE UNPREDICTABLE CLIMATE
Climate Change Poses A Growing Threat To Global Agriculture, With Unpredictable Weather Patterns, Rising Temperatures, And Extreme Events Impacting Crop Yields And Food Security. This Project Harnesses Artificial Intelligence (AI) And Machi...
PREDICTION OF TERRORIST ACTIVITIES
Mention Terrorism Remains A Significant Threat To Global Security, Necessitating The Development Of Robust Predictive Models For Early Detection Prevention. This Project Focuses On Leveraging Machine Learning Algorithms, Specifically Rand...
DIABETES PREDICTION USING MACHINE LEARNING
The "Diabetes Prediction" Project Is Aimed At Developing A Robust Predictive Model Using Python And The Random Forest Algorithm. Its Primary Objective Is To Provide Users With A Reliable Tool For Assessing Their Likelihood Of Having Diabete...
PREDICTION OF USED CAR PRICES USING RANDOM FOREST ALGORITHM
With The Extensive Growth In Usage Of Cars, The Newly Produced Cars Are Unable To Reach The Customers For Various Reasons Like High Prices, Less Availability, Financial Incapability, And So On. Hence The Used Car Market Is Escalated Across...
EARLY DETECTION OF CHRONIC KIDNEY DISEASE IN HIV PATIENTS USING MACHINE LEARNING
Chronic Kidney Disease (CKD) Is An Overall Ailment With High Dismalness And Passing Rate, And It Prompts Various Sicknesses. Patients Frequently Disregard The Condition Because There Are No Obvious Incidental Effects During The Initial Stag...
DETECTING FAKE ACCOUNTS ON SOCIAL MEDIA NETWORKS USING MACHINE LEARNING
In Recent Days, The Majority Of People Utilise Social Networking Sites On A Daily Basis. Many People Create Profiles On Social Networking Sites Each Day And Connect With Others Regardless Of Their Location, Time And Others. Social Networkin...
A MACHINE LEARNING BASED APPROACH TO ANALYSE AND PREDICT WATER QUALITY
Water Is A Need For All Living Things. Water Is Required For Numerous Daily Activities Such As Drinking, Washing, Bathing, And Cooking. If The Water Is Of Poor Quality, It Is Unsuitable For Drinking And Other Activities. Water Quality Is Of...
IMPROVED PREDICTION MODEL FOR THE RECOMMENDATION OF POST-COVID EXERCISES
Most Of The People Affected By COVID Even After Recovery, They Struggle A Lot To Return To Normal Health Conditions. People Prefer Doing Exercises Or Gym Workouts At Their Home Itself. A Gym Workout Or Exercise Done Without Following The Ri...
FOOD DEMAND FORECASTING USING ADVANCED MACHINE LEARNING MODULES
The Vital Aspect In The World Of Business Is To Have A Proper Analysis Of Their Business Outcomes. This Outcome Plays A Major Role In The Development Of The Business. One Of The Expanding Business Spheres Is Food Delivering Companies. The V...
RECOGNITION OF HUMAN ACTIVITIES USING RANDOM FOREST ALGORITHM WITH SMARTPHONE SENSORS
Improvement In Everyday Life, May It Be Lifestyle Improvement Or Health Care, Requires Recognition Of Activities. There Have Been A Number Of Methods For Measuring Physical Activities, Such As Self-reporting, Attaching Wearable Sensors, Etc...
Analysis of Reducing Patient Waiting Time in A Queue for Treatment In Hospitals Using Big Data Environment
Reasonable Patient Line Organization To Restrict Tolerant Hold Up Deferrals And Overcrowding Of Patients Is Genuine One Among The Problems Faced By The Hospitals. Pointless And Disturbing Sits Tight For Long Extends, Result In Critical Huma...
CLASSIFICATION OF CONSUMER REVIEWS WITH HYBRID APPROACH USING TEXT MINING TECHNIQUE
Many Numbers Of Clients Buys Item, Book Travel Tickets, Purchase Merchandise And Number Of Devices Using Web. Here, Customers Share Their Perspectives About Item, Services, News, Display Of Product And So On As Web Surveys, Sites, Remarks A...
ENSEMBLE CLASSIFIER WITH ROTATION OF RANDOM FOREST FOR PREDICTION IN HEALTHCARE DATA
One Of The Rapid Growing Research Area In Health Care Organization Is Predicting Disease From Imbalanced Healthcare Data. To Convert These Data Into Useful Information And To Predicting Forthcoming Patient Disease Data Mining Approaches Are...