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...

Read More

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...

Read More

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...

Read More

Green Computing - The solution to reduce carbon footprints in IT industries.

The production of a generic laptop results in generation of about 130-200 lbs. CO2e and over its life cycle, it will have generated around twice that amount of total CO2e greenhouse gas emissions. A 10-year-old tree absorbs almost 48.5 lbs. of CO2 per year. Taking the average 75.2 lbs. as the amount produced, this means that for a laptop alone, there need to be 2 full grown trees to absorb the emissions. Meaning that one would have to plant 2...

Read More

Role of data structure in Project development:

Data structures plays a very important role in a project development as data structure is the heart of any operation to be performed without data structure a project will be very bad and the user could only perform basic operations. •Helps to solve a problem more efficiently: Suppose a person develops a software module for solving business problems They may involve all software development lifecycle including requirement analysis, coding, design...

Read More

The importance of Data Structures

A software has two parts front end and back end. The front end provides an interface and the back end is called a database which contains records of customers. There can be million or trillion of customers. If we have to find out the record of a particular or a number of customers, it is done by a searching method which is an operation on the data structure. If any software is to be run, at first it is fed into computer memory. In computer memory...

Read More

Real life applications of DSA in Project development

DSA is a wide topic and has its implementation in various fields.Here we can understand the usage of Data structures in project development. Arrays Arrays are the simplest data structures that stores items of the same data type. A basic application of Arrays can be storing data in tabular format. Applications of arrays for project development are as follows: 1.Arrangement of leader-board of a game can be done simply through arrays to store the...

Read More