Smart Agriculture Using Sensors and Ai
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Updated
Mar 22, 2025 - C++
Smart Agriculture Using Sensors and Ai
This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.
Simple Fed minutes analysis. My first application of NLP
Covid-19 Sentimental Analysis of Twitter Dataset using Python and Tweepy Library
A physics simulator of bouncing cubes.
This is the Machine Learning(ML) based System which predicts the possibility of a heart attack based on the previous datasets which consists the following variables such as age ,sex ,blood pressure ,cholesterol ,obesity ,etc. The exploratory data analysis of these parameters plays a vital role in the precision of the model.
Determined with genetic algorithm
60-70% of the time ML model building workflow is consumed in data preparation. Aim of this repo is to get an introduction to how can you clean and transform your raw data.
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