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18IT100_Practical_Exam_Work

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Task-1: Dataset Description using Orange tool. What is need to be done to improve the accuracy of the classification result of the given dataset? Get the maximum classification accuracy possible by performing the following methods. -->Pre-processing o Encoding o Normalization o Missing value handling o Feature Selection Compare your accuracy with and without applying pre-processing steps. Perform the Classification and visualize accuracy before and after preprocessing in Orange/Python. What is Data Pre-processing? In any Machine Learning process, Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. In other words, the features of the data can now be easily interpreted by the algorithm. Encoding Encoding is the process of converting data from one form to another. While "encoding" can be used as a verb, it is often used as a noun, and refers to a specific type of encoded data Nor...

Practical:12 MINI PROJECT – FACE MASK DETECTION

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 INTRODUCTION The world is fighting against the health crisis named Covid-19. This virus is killing people on large scale and the cases increases as days passes. Because of this virus, people had forgotten to live a normal life. The impact of this virus and its consequence are felt differently depending on the symptoms they have. There were many symptoms of coronavirus such as fever, sneezing, coughing, etc. There are many precautions as social distancing, wearing a mask, use of sanitizers, etc. The important is to wear a face mask whenever you are in the public or around the crowd. The virus spreads through to a close contacts. The rules and laws are made by the government as an action to the increase of cases and deaths in many areas. Reports indicate the wearing a facemask while it works reduces the risk of transmission. A hybrid model using deep learning and classical machine learning for face mask detection has been presented. A face mask detection dataset contains a mask imag...

Practical:11 PREDICTING GENDER AND AGE USING IMAGE DATA IN PYTHON

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What is OpenCV? OpenCV is short for Open Source Computer Vision. Intuitively by the name, it is an open-source Computer Vision and Machine Learning library. This library is capable of processing real-time image and video while also boasting analytical capabilities. It supports the Deep Learning frameworks TensorFlow, Caffe, and PyTorch. What is a CNN? A Convolutional Neural Network is a deep neural network (DNN) widely used for the purposes of image recognition and processing and NLP. Also known as a ConvNet, a CNN has input and output layers, and multiple hidden layers, many of which are convolutional. In a way, CNNs are regularized multilayer perceptrons. Age and gender, two of the key facial attributes, play a very foundational role in social interactions, making age and gender estimation from a single face image an important task in intelligent applications, such as access control, human-computer interaction, law enforcement, marketing intelligence and visual surveillance, etc. Her...

Practical:9 BUILDING POWER BI REPORT

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What is a Power BI Report? A Power BI report is a multi-perspective view of a dataset that includes visualizations that illustrate various discoveries and insights from the dataset. A report can contain a single visualization or multiple visualizations across multiple pages. A report’s visualizations are similar to those on a dashboard, but they serve a distinct purpose. These aren’t static visualizations. In fact, with extremely interactive and customizable representations that update as the underlying data changes, it’s far from the case. To discover insights and find solutions, you can add and remove data, alter visualization kinds, and apply filters to your model. Let’s get started on the report now, 1. Import data to Power BI Dashboard 2.  Importing excel sheet to PowerBI 3. To add a field to your report, simply click the relevant field. Power BI will automatically add the field to the right area in your chart. Create Data Visualization in Power BI Dashboard. Power BI provide...

Practical:8 How to build a simple dashboard using Power BI.

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In this blog, we’ll develop a dashboard on which we can view our data using various types of charts and have a better understanding of it. Power BI dashboard A Power BI dashboard is a single page, often called a canvas, that uses visualizations to tell a story. Because it is limited to one page, a well-designed dashboard contains only the most-important elements of that story.The visualizations on a dashboard come from reports and each report is based on one dataset. How to Create a Power BI Dashboard To start creating your Power BI Dashboard, there are a few things that you need to prepare including: 1. Microsoft Account 2. Power BI Desktop 3. Reports and datasets The Microsoft account is essential in creating your Power BI Dashboard as you will need your account to download the Power BI Desktop software. Power BI Desktop is becoming the users’ most favorite Business Intelligence tool since it offers a lot of advantages over other BI tools available. Having the software also helps a l...

Practical 7: Introduction To Power BI

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What is Power BI? Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want. Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on information technology staff or database administrators. Power BI also gives you cloud-based BI services, known as “Power BI Services”, along with a desktop based interface, called “Power BI Desktop”. It offers data warehouse capabilities, including data preparation, data discovery and int...

Practical:3 Data Preprocessing Using Data Reduction Technique In Python

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Datasets nowadays are very detailed; including more features in the model makes the model more complex, and the model may be overfitting the data. Some features can be noise and potentially damage the model. By removing those unimportant features, the model may generalize better. We will see other feature selection methods on the same data set to compare their performances. Use SkLearn website for this. Dataset Used The dataset used for carrying out data reduction is the ‘Iris’ available in sklearn.datasets library. Loading Dataset The Iris dataset is one of the datasets sci-kit-learn comes with that do not require the downloading of any file from some external website. The code below will load the iris dataset. The data have four features. To test the effectiveness of different feature selection methods, we add some noise features to the data set. Using variance threshold removes all zero-variance features. Analysis of variance (ANOVA) is an analysis tool used in statistics that split...