Description In the course assignments you were instructed to access a dataset compatible with supervised machine learning based classification or regression. You are free to explore unsupervised learning as applied to your supervised learning dataset, should you so choose to do so. You will either reuse your dataset from the earlier assignments, or if you want something more interesting, challenging, or just want more experience, you can access a new dataset (or use both your old dataset and new
Datasets Download file data.zip from the CMM510 assessment area of CampusMoodle. Unzip data.zip. It contains the following files: sampleWater1.csv: contains the first dataset about water base analysis of samples. In the remaining of this document this dataset will be referred as water1. sampleWater2.csv: contains a second dataset about water base analysis of samples. In the remaining of this document this dataset will be referred as water2. testWater.csv: contains a third dataset about water bas
Description The dataset, sourced from Kaggle, is a compilation of details about Instagram posts, for posts posted between 04/05/2012, 2:36 PM (UTC) and 04/27/2020, 3:34 PM (UTC), by a set of over 1.04 billion Instagram users. The project aims to glean insights about factors that impact engagement of posts on Instagram. T he dataset captures details such as number of comments received for a post, number of likes received for a post, timestamp for each post, number of followers each user has, numb
Description Provided with a data file that contains tags given to resources on a social media site. The data contains three columns. source : A tag target : Another tag that has been assigned to the same resources as that tagged by the source tag value : a measure of the co-occurrence of the tags Task is to use your learning in graphs analysis to find: The most important tags in defining the domains that the resources belong to different communities of tags cluster the tags propose a method for
Part 1 Your program should start by asking the user to name a short story by path on the classicshorts.com (Links to an external site.) website. For example, if the user enters 'aos' then the program will access the website http://classicshorts.com/stories/aos.html (Links to an external site.). If the user enters an invalid short story (path, such as 'aps'--note the typo), the program will say "Short story not found" and quit. (Hint: try-except) If a story is found, state that the story was fou
Problem Statement Define either a feature extraction, clustering, classification or regression problem (or a combination of more than one of these) for the data set. No matter which type of data analysis problem you choose, you should, at a minimum, choose a basic linear technique and one more advanced technique. For example, you could choose to solve a regression problem using multiple linear regression and neural networks (deep learning). Similarly, you could do feature extraction using PCA an
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Start with the computer maze-solving program covered in class. The source code is posted along with the homework. Change the dimensions of the maze to 20x20 with walls around the borders. Out of the empty space in the middle, randomly fill 25% of them with walls. Then pick a random start location (that is empty) and a random Exit location (that is empty). Since you are using random numbers, you should get a different maze with a different start and end. There is a small chance that it is impossi
Description: The classic To-Do application where a user can write down all the things he wants to accomplish. Do you often feel overwhelmed by the amount of work you have to do? Do you find yourself missing deadlines? Or do you sometimes just forget to do something important, so that people have to chase you to get work done? How effective is your to-do list? Does it help you plan your day? Does it help you prioritize? Or is it a never-ending list of things you feel guilty for not having done ye
The Breast cancer Wisconsin (diagnostic) dataset from scikit-learn contains information on two types of cancer: WDBC-Malignant and WDBC-Benign. The dataset contains 569 instances of data and each instance is described by 30 attributes. These attributes computed from medical images describe the following characteristics: radius (mean of distances from center to points on the perimeter) texture (standard deviation of gray-scale values) perimeter area smoothness (local variation in radius lengths)
List of Tables Table: IPL_User Table: IPL_Stadium Table: IPL_Team Table: IPL_Player Table: IPL_Team_players Table: IPL_Tournament Table: IPL_Match Table: IPL_Match_Schedule Table: IPL_Bidder_Details Table: IPL_Bidding_Details Table: IPL_Bidder_Points Table: IPL_Team_Standings Instructions: Create these tables in the database by running the database script provided The script also has statements to insert appropriate data into all these tables Test the successful execution of the script by select
1. Consider a perceptron learning algorithm (PLA) used for a binary classification problem (adaptive decision boundary). Question: What will be the algorithm’s output if the training data are not linearly separable? Answer: The perceptron learning algorithm does not terminate if the learning set is not linearly separable. To avoid infinite looping, specify finite number of iterations. Question: Would you call the PLA supervised or unsupervised learning? Answer: Supervised learning 2. Obtain the
ReactJs: React is a JavaScript library for building user interfaces (UI). It is used to develop the frontend of any website. Everything in React is called Component. It helps in developing modern frontends which are more powerful, efficient, and fast. React is designed from the start for gradual adoption, you can use as little or as much React as you need. Whether you want to create a small project, add some interactivity to a simple HTML page, or start a complex React-powered app. Now let’s lea
The submission of your solutions should be in PDF or DOC format. The MySQL com- mands in questions 1 and 2 should be submitted separately in a plain text format (.TXT) le. You may include your MySQL code also in the pdf le, for the sake of clarity, if you wish, but it should be stressed that only the code that appears in the txt le will be assessed. Make sure that you test that your MySQL code works in the version installed in the lab, because this is the version which is going to be used for th
Chapter 12, page 610, problem 2. “Augment the Rational number class to include multiplication and division. Include the ability to accommodate operands of type int.” In sections 12.1 – 12.4 the authors developed the structure of the Rational class. They implemented most of the addition and subtraction operators as well as the equality operator. Further, they demonstrated how to write the __radd__ method for adding an integer to a rational number, rather than adding a rational to an integer. IMPO
PHP 5 Installation What Do I Need? To start using PHP, you can: Find a web host with PHP and MySQL supportInstall a web server on your own PC, and then install PHP and MySQL Use a Web Host With PHP Support If your server has activated support for PHP you do not need to do anything. Just create some .php files, place them in your web directory, and the server will automatically parse them for you. You do not need to compile anything or install any extra tools. Because PHP is free, most web hosts
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MongoDB stores data in JSON-like documents, which makes the database very flexible and scalable.To be able to experiment with the code examples in this tutorial
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