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Crop Yield Prediction based on Indian Agriculture using Machine Learning
Aim: To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract India is the land of agriculture and it is the major source of economy.70% of Ind..
Crop Yield Prediction Using Random Forest Algorithm
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract India is the land of agriculture and it is the major source of economy. 70% of..
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardiovascu..
Intelligent Crop Recommendation System using Machine Learning
Aim: Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters. We also recommend the crop price using machine learning.Abstract India is one of the leading countries world..
Machine Learning Based Heart Disease Prediction System
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: In human life, healthcare is an unavoidable and important task to be done. Cardiovascul..
Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardi..
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..
Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find new frie..