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SMART HOSPITAL | IoT based smart health monitoring system | Real time responses | Internet Of Things | ESP8266

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SMART HOSPITAL | IoT based smart health monitoring system | Real time responses | Internet Of Things | ESP8266 Problem Statement                                    Our problem statement is now a day many busy people are facing more problems regarding their health due to their busy lives they are not to able to monitor their health condition properly. And they get easily sick or committed to weakness just because they are not able  to update their health and sometimes if we did not mind them then these small diseases can be fatal in the future. So we have to make a system which can help them out to monitor their own health problems and all the received data can be used in the treatment of that individual. Introduction According to our theme i.e. Smart Hospital , we will make our health c...
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Decision Tree Regression Full Concepts | Machine Learning | Data Science

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Decision Tree Regression with Example | Machine Learning Algorithm | Data Science Tree-based methods are simple and useful as they are not that much competition with the other supervised learning algorithm in terms of predictions. Decision tree-based method involves segmenting the predictor space into a number of simple regions. To predict the prediction we usually use the mean and mode of the training observations. These types of set of rules can be explained as a tree and these types of approaches known as Decision Tree Methods. sal = mean log salary We are predicting the player's salary by years he played and no hits he made in his whole career. So, the above figure shows the regression tree to fit it and it consists of a series of splitting rules and stating at the top of a tree and ending at the last second level of the tree. As in this regression tree, the splitting is based on the experience in years then with the more than 4.5 years experience the tree is further split into...
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A Quick Guide to Data pre-processing for Machine Learning | Python | IMPUTATION | STANDARDISATION | Data Analysis | Data Science

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Data Pre-processing | Imputation | Standardisation | Rescaling | Python Before feeding your data to the machines you have to prepare this data before inserting it into your Machine Learning Algorithm. Quality of your data has to be good, it doesn't contain null values or out of the constraint values. Because the quality of your data is directly related to the quality of training of your model. For more info about Data-preprocessing's need and requirements,  Click Here. Photo by  Mika Baumeister  on  Unsplash 1. Imputation Imputation's simply meant the "change", this process will help you to change the missing value from your table. There are lots of algorithms which can't deal with the null values and might give you errors or badly trained model. Let's have a look at the data below, this data is about the salary of several domains... THE DATASET This data has some null values, which is unbearable by the machine learning ...
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