Final project | PENTACODE

What are the steps used in Machine Learning? There are 5 basic steps used to perform a machine learning task: Collecting data : Be it the raw data from excel, access, text files etc., this step (gathering past data) forms the foundation of the future learning. The better the variety, density and volume of relevant data, better the learning prospects for the machine becomes. Preparing the data : Any analytical process thrives on the quality of the data used. One needs to spend time determining the quality of data and then taking steps for fixing issues such as missing data and treatment of outliers. Exploratory analysis is perhaps one method to study the nuances of the data in details thereby burgeoning the nutritional content of the data. Training a model : This step involves choosing the appropriate algorithm and representation of data in the form of the model. The cleaned data is split into two parts – train and test (proportion depending on the p...

When do we use KNN algorithm? KNN can be used for both classification and regression predictive problems. However, it is more widely used in classification problems in the industry. To evaluate any technique we generally look at 3 important aspects: 1. Ease to interpret output 2. Calculation time 3. Predictive Power Let us take a few examples to  place KNN in the scale : KNN algorithm fairs across all parameters of considerations. It is commonly used for its easy of interpretation and low calculation time. How does the KNN algorithm work? Let’s take a simple case to understand this algorithm. Following is a spread of red circles (RC) and green squares (GS) : You intend to find out the class of the blue star (BS) . BS can either be RC or GS and nothing else. The “K” is KNN algorithm is the nearest neighbors we wish to take vote from. Let’s say K = 3. Hence, we will now make a circle with BS as center just as big as to enclose only three data points on the p...

A one second delay in a web page load time results fewer page views, decrease in customer satisfaction and loss in conversion. So, few extra seconds in page loading creates a huge impact.  Website speed optimization influences conversion because slow speed kills conversions. If our web site takes more than three seconds to load, you lose almost half of our visitors before they even arrive on our site which is a huge  blow to our potential conversion. Web speed also influences visibility because Google takes speed into consideration when ranking the sites. Load times can also influence how easily users can find you in the first place. According to Google, best practice is three seconds. Of all the industries they included, non-had an average even close to their recommended best practice of three seconds. Plus as page load time goes from one to ten seconds, the probability of a mobile user bouncing increases by 123%. How to speed up websites Minimi...

Turbidity Sensor            Analog Turbidity Sensor for Arduino The Arduino Turbidity Sensor is an electronic monitoring module that is developed to work with microcontroller platforms such as Arduino, Raspberry Pi, PIC, ARM, AVR, among others. This Arduino Turbidity Sensor is able to detect and verify the quality of the water efficiently, making the turbidity measurement, where it is possible to verify the results by means of digital or analog signal next to the corresponding pins in the accompanying electronic module. The Arduino Turbidity Sensor emits at its end an infrared light, capable of detecting particles that are suspended in water, measuring the light transmittance and the dispersion rate, which changes according to the Amount of TSS (Total Suspended Solids). So the Arduino Turbidity Sensor can applied in projects involving the monitoring of water turbidity in rivers, streams, lakes,...

Predicting and Analyzing Water Quality using Machine Learning  A Comprehensive Model   INTRODUCTION                                                                 This issue has been addressed in many previous researches, however, more work needs to be done in terms of effectiveness, reliability, accuracy as well as usability of the current water quality management methodologies. The goal of this study is to develop a water quality prediction model with the help of water quality factors using Artificial Neural Network (ANN) and time-series analysis. Previous works about Water Quality prediction have also been analyzed and future improvements have been proposed in this paper. The deteriorating quality of natural water resources like lakes, streams and estuaries, is one of the direst and most worr...

Use amCharts to visualize Google Analytics data We can use amCharts to visualize google analytical data.Before we can extract data from your Analytics account, you will need to set up an application and API access to it and further more steps are available. An example : link : https://www.amcharts.com/kbase/use-amcharts-to-visualize-google-analytics-data/