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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 care system more smart by adding some feature and application. We are making a hardware device named smart health monitoring system which will be used to monitor health c
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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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Plotly & Cufflinks | A Data Visualisation Library with Modern Features | Python | Data Science | Data Visualisation

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Plotly & Cufflinks | A Data Visualisation Library with Modern Features | Python | Data Science | Data Visualisation Plotly Plotly gives you lots of interactive and dynamic data visualisation & UI tools for data science, Machine Learning & Engineering. It has some great features which we will discuss in this post. So, be ready for the tutorial. Installation Guide on your Machine: For Plotly put this on your terminal and run. pip install plotly or conda install -c plotly plotly Cufflinks For using Plotly library we have to configure it with the pandas, so the cufflinks library giver us a privilege to do it. Because the Plotly is built on the top of d3.js . Installation Guide on your Machine: For cufflinks put this on your terminal and run. pip install cufflinks or conda install -c conda-forge cufflinks-py Let's begin... Import all the Libraries needed. import pandas as pd import numpy as np import cufflinks as cf from plotly.offline import download_plotlyjs,init_notebook_
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