Can ML be implemented on Smart Bins?

Smart bins, also known as smart waste management systems, are an innovative solution to traditional waste collection methods. By integrating advanced technologies such as machine learning, smart bins have become a reliable and efficient way of predicting waste levels and improving the waste management process. Machine learning algorithms can be used to predict waste levels in smart bins by analyzing data from sensors and cameras installed in the...

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Guide to make the Best choice among Time Series Algorithms

1. Long Short-Term Memory (LSTM) Neural Networks: LSTMs are a type of Recurrent Neural Network (RNN) that are well-suited for time series forecasting. 2. Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA): ARIMA and SARIMA are traditional time series forecasting methods that have been widely used for many years and are still popular today. 3. Prophet: Prophet is a forecasting model developed...

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How to use Time Series forecasting in Machine Learning

A time series is a sequence of observations recorded over a certain period. A simple example of time series is how we come across different temperature changes day by day or in a month. The tutorial will give you a complete sort of understanding of what is time-series data, what methods are used to forecast time series, and what makes time series data so special a complex topic in the field of data science. Timeseries forecasting in simple words...

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