Linear regression for dummiespekerjaan
...application with two main capabilities: 1. Displaying a programmed sequence of images and videos on a device, display/screen. 2. Counting the number of people looking at the camera or in front of it. The app interacts with the screen, the camera and Orangead’s cloud infrastructure. Usage Modes These capabilities are used independently or together, depending on the configuration of the application. For example, a configuration might only activate the player module of the app, while another configuration only activates the detector module, while a third configuration might activate both. The app is programmed in such a way that the detector and the player can work together even if they are in two different hardware devices. In this case, they communicate using bluetooth o...
Please do T-tests and regression on this data-set and while recording how you do it; Id love to learn to do it myself! H; Danes think the dark green is healthier than the light green H; Indians think the dark green is healthier than the light green to a smaller degree than Danes Regression for age, income and birth city population
Project is about determining the optimal work intake (e.g., we should assign resources to these projects) to maximize the overall available resource hours used and the marginal benefit score. It requires significant knowledge of operation research, linear programming, and opensolver proficiency.
...datasets for training ● Find public data and/or restructure data suitable for the project ● Responsible for design and development of different types of computer vision models that fits the requirement. ● Understanding of different data structures and ability to convert from structure to another ● Understanding of different Deep Learning Libraries (eg. Tensorflow, PyTorch, openvino etc) ● Create functions for training and inference ● Test the inference time on different types of servers/GPUS/CPUs/Edge devices ● Build ML modules, along with accuracy, must also deliver the production workload expectations - work with real world data, suitable inference time, compatibility with tech-stack, work on CPUs where applicable ● Understand different types of ML problems...
Some conflict with the CSS file. Steps //Add to CSS background-image: linear-gradient(rgba(0,0,0,0.5),rgba(0,0,0,10)),url(); //Add to CSS source here - //Resolve conflict in CSS file preventing particles from working.
Estimate two different functional forms corresponding t...water demand that do not include any interaction variables. (E.g. linear versus log‐log). For both specifications, report (in tabular form) coefficient estimates for each of the variables included in your models. For each of the specifications estimate one version that allows the effect of “x” on y to vary, and one that does not. a. Indicate in a drawing the difference that is implied across each of the specifications b. For both specifications, report (in tabular form) coefficient estimates for each of the variables included in your models. What are your best estimates of: a. The price elasticity of demand for water b. The effect of restrictions on demand for w...
Design of Industrial Trolley with Linear Actuator for height and degree adjustment Height adjustment required - 500mm Degree adjustment required - +/- 2 degrees Length of part on trolley - 4 mtrs Load - 120 kg Using double actuator Table top frame size for trolley - 4000mm length x 500mm width
i need help with regression analysis and spss data entering please
neural network to recognize handwritten digits neural network. The neural network will be able to represent complex models that form non-linear hypotheses. Your goal is to implement the feedforward propagation algorithm to use our weights for prediction. In next week's exercise, you will write the backpropagation algorithm for learning the neural network parameters.
...components. Once you have these additional sections added, you should be able to see a more established "FORM" for your song. Compose a GarageBand song project that meets the following minimum requirements: Your additional sections must be at least 4-8 measures long and contain a minimum of at least these 4 specific individual tracks: Melody (a memorable single linear line of scale-based pitches that are sequentially placed in rhythmic groupings and NOTICABLY DIFFERENT from the CHORUS)] Harmony (a track that utilizes a progression of sequential chords that harmonize with the sounding melody pitches in the above track and are NOTICABLY DIFFERENT from the CHORUS). Bass Line (a linear line of rhythmically performed chord root pitches that stay in a...
...able to include screen recordings of the testing with assistive technologies? • Per manual audits can you test using all types of assistive technologies? … for desktop, mobile, web apps, and mobile applications? o JAWS o NVDA o VoiceOver (Mac and iOS) o TalkBack o Dragon Naturally Speaking • What automated testing have you done with what tools? For example… o Full automated scan audit using axe-core and axe devTools. Remediation • Do you and your team perform any web remediation services? What CMS platforms and web app languages? • Do you have experience working directly with developers on remediation and doing validation/regression testing? Can you share examples? Certifications/Other • Are the developers and auditors IAAP...
I'm looking for someone who have good understanding of GNN. I have a dataset, would like to get it running with GNN regression.
Required: Add angles to the middle linear regression centerline. Then, create alerts when the centerline hits a specific angle. Assuming the total angles is 180 Also, I want it on all timeframes and with the source to be selected from a list of indicators I already installed. and the span can be modified for example, it should start calculating the angle for every 50 candles or more for example. It is better to use the “Linear Regression Channel” open source indicator from TradingView itself and not any third party indicators.
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Hi, So i want to make a F1 racing simulator design like Playseat and Rseat. My Budget is $100. Cant pay more than that. I have a sample design with me, and we can take some help from that. Please dont ask me if i c...laser cutting and bending machines. 2. I want my own custom design, preferrably like F1 body style. 3. I will install 4 DOF motion simulator Actuators on it, so need it to be strong and have the 4 equal corners. 4. I want the seat to be made like Playseat, so will make that out of MS, and will do cushioning on it. 5. I will install Linear Guides on it for the seat to move, for the steering to move back and forth and for the pedals to move back and forth as well. For anything up and down, i would want you to provide me with that mechanism. ...
...not have to be linear: the experiments could be conducted in a parallel approach, in a branching strategy, in a ‘if this then that’ approach etc. You should include a Gantt chart describing how the project could be accomplished in 6 months. The methods to be used should be explained in sufficient details to determine whether they would be suitable for the task you are proposing. You do not need to include the same level of details expected in a research paper/report. (Max 500 words) 6) Expected results and impact (Mark 15%) Describe and justify your expected results and discuss what importance they may have and what follow-up research approaches may be needed (Max 300 word) 7) References (mark 10%) Reference must be presented in the Harvard style. Refer to ...
We've got a system which uses Hiwin's linear axis hardware and Polaris motion control. Need engineer that have experince wit this, and avalible to go to field in Finland 2-3 months. Maybe longer
Excle file has 4 data sets in tabs. Run regression and write down estimated models. Red are dependent variables and green are independent variables
Implementation of wall following behaviour for a mobile robot. You will have to implement in C++, and using the player/stage software package, a control module for a Pioneer robot to follow a wall using the readings generated by the scanner laser. The robot follows the standard unicycle motion model, i.e. it has two controls of linear speed and rotational speed. This behaviour can be very useful for inspection task, or to watch the paintings if the robot visits a museum. The specifications/assumptions of the behaviour are the following: 1. Initially the robot can be at any distance from the wall and with any orientation (assuming the laser can detect a large enough part of it). 2. The robot has to move parallel to the wall when it detects on either side (left or...
For more information I will tell to the selected freelancer.
I have 3 factors data and product specification data. Have to work quickly through it in a day and do a regression analysis to determine what factors affect the product specification. I need 5 tests performed (irrespective of the outcome).
logistic regression, GLM, R, ANOVA, DATA ANALYSIS, Statistical Analysis
The project is based on logistic regression, ANOVA, testing, curves, deep R data analysis knowledge is required
Need someone with good knowledge of R-Programming and who can perform Multiple linear regression and Time series forecasting using R-Programming. The requirement is very easy and it needs the person to perform the analysis using R-Programming as well as writing the recommendation and detailed steps using appropriate graphs, tables and subjective interpretation of findings.
Your job will consist of : - reviewing and making sure the tasklist I have is completed and exhaustive in such a way I will go to the market right after customization - creating a regression and functional testing list to be performed after customization - making any useful suggestion
I would require a supply chain specialist who have experience in Linear programming using excel to help with a project related to solving few supply chain issues. My budget is only 50£ for this task. Drop your offer if interested
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Index number, financial maths, correlation and regression, probability
Create and train machine learning algorithm to predict academic performance. Independent variables will be: Course Level, Course Name, Lab Score Assignment Score, Midterm Score, Final Score Lab, Project Score and Total Score. Grade will be considered as the dependent variable Ordinal Logistic Regression, Decision Tree should be used to create the prediction model. Bootstrap aggregation will be applied as required.
I would like to start a new linear control project. Looking for someone is good at root locus, bode diagram, frequency domain analysis and stuff like these.
...generates a PDF as output for your report. As a guide for the data you are to acquire, feel free to use the following steps: Gather daily stock price data covering the last 5 years for 5 stocks, or indices, of your choosing (again, feel free to use the same from Assignment #1). Gather the Fama-French 3 Factor data from the following site: Current US Research Returns Data (Links to an external site.). You do not need to download data directly from R—teams who are able to perform such direct download get an extra 10 points. You can download data in CSV format, then read it into R. Create summary statistics, e.g. means, variances, correlations, etc, on the returns associated with each data item. Plot individual return patterns for each asset. Plot price ...
I want to give a project for someone to scrape some web data, analyse it, do some regression on it, and create a linear regression model from it (i will supply the exact equation) and visualise the result.
I would require a supply chain specialist who have experience in Linear programming using excel to help with a project
...on surface area and volume of cube, cuboid, problems on surface area and volume of sphere and hemisphere, problems on surface area and volume of cone and cylinder Height and distance : problem based on height and distance Unit V Calendar : basic concept of calendar, date and days, finding the exact day Clocks : concept of clock, facts and formulae, practice problems Analytical Reasoning : Linear seating arrangement, circular seating arrangement, puzzle test Unit VI Data interpretation : basics of data interpretation and its types, tabulation, bar graph, pie chart, and line graph Data sufficiency : check sufficiency of data Text Books: 1. A MODERN APPROACH TO VERBAL & NON-VERBAL REASONING by DR. R. S. AGGARWAL, S Chand Publishing 2. QUANTITATIVE APTITUDE by D...
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I require assistance running some regression models in R Studio (including collinearity and overskewing) and writing up analysis of the data. Will provide dataset and questions to be answered.
Looking for help to analyze survey results in APA format. Must be able to run ANOVA, chi-square test of independence, multiple regression correlation, and provide: Item Analysis • Item distributions • Skewed distributions • Missing data, non-response Topic score distributions (boxplots) • Skewed distributions Factorial ANOVA for demographics for each topic • In what sub-groups do topic mean scores differ? • Loyalty Index and Gender X Hospital X Specialty • Regression analysis of outcome measure on topics. • Loyalty Index = Leadership + Administrators + Compensation + Quality of Care • Path analysis and structural equation modeling • Outliers • Inter-topic correlations (including outcome measure) &bu...
...directory and the rest under "test/images". Create label filtes for training and test and put them in the respective folder. b) Calculate the mean and standard deviation of the training images. c) Implement the custom dataset class for training and test. Resize the images to 32 by 32 and normalize with the mean and std. dev. obtained in step b. (i) In the init method, store the path to the images. You can use any data structore of your choice, e.g., list/nested list, dictionary. (ii) in the getitem method, use the path stored at position idx to load the image. Return image and its price. d) Partition the training dataset into training avnd validation. Create training, validation, and test data loader. See the previous assignments for how to do it. e) Visua...
The Pocc of Process for algorithmically generating regression test suites included: Base line creation Collecting code coverage information for each test case Creating a database of coverage information for each test case Regression tests selection Analyzing the source code changes for each build or check-in from the repository Selecting the test cases for each build or check-in Executing the selected tests to qualify the build This approach significantly reduced the regression testing efforts for the project without reducing software quality. The regression tests selected by the algorithm uncovered the same defects that would have been found using manual regression test cycle planning. The reduced regression...
...Style? (Traditional, Modern, Multisided, See Through, Linear, Bay Front), Media Type? (Traditional Logs, Modern Media, Stones, Rubel's or Marbles, Crushed Glass, Vermiculite, Crushed Rocks or Basalt, Not applicable *May Select more than 1*), WiFi or Bluetooth Compatible (Yes, No), Decorated Interior Firebox Walls? (Yes, No), Large Decorative Front? (Yes, No), Make / Brand?, Model?, Serial No.?, Desired Service (Repair Only, Inspection and Diagnoses, Complete Service and Safety Inspection, Annual Service and Cleaning, Cleaning Only, Chimney Sweep Only), Issues and special requests?, Add Additional Equipment? (Yes, No (if yes time block multiplier and repeat intake questions *auto fill or deselect Customer info allow twice (or be manually set) for a total of 3 applianc...
I am trying to use ML methods in Python to balance data using SMOTE and then running Logistic Regression using Test/Train methods. I am also trying to run Statsmodel and getting error in the process.
...Analysis 3.1 Explain to John what linear programming involves and the types of problems it can help solve 3.2 You are given the following data by Ecosneak: • Their annual promotional budget (of €300,000) • The cost of each Billboard advert (€2,000) and the cost of each Magazine advert (€5,000); • The estimated ‘reach’ of each Billboard advert (20% of the men’s and women’s total market in 2022) and each Magazine advert (45% of the men’s and women’s market in 2022); • There is a signed contract with World of Sports that Ecosneak will place at least 30 adverts per year in the Magazine; • There is a limit of 100 on the number of dedicated Billboard spaces available in Edinburgh for Ecosneak to use. Use...
I need help building a logistic regression model for a dataset using Python- Scikit package (Test/Train)
Need to do calculations from scratch with the algorithms equation,, and coding parts for Linear Classifier and Neural Network.
...at the midspan of the beam. By confronting the FEM results with the analytical solution for the considered case, check the effect of the number of mesh elements on the final solution. a. Estimate the analytical solution for the considered case. (Please use the material properties according to LUSAS Database). b. Starting from a number of mesh elements equal to 2, build a convergence graph to show the number of elements necessary to reach the convergence to the real solution of the problem. (Increase the number of elements of 2 for each iteration, i.e. 2, 4 ,6 and so on). c. Comment on the number of elements that you would consider acceptable for this model Q2 Build the model and run the non-linear analysis and answer the following questions: a. ...
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I want to start a business of selling cars in Africa. I have different brands such as Toyota, Nissan, Honda. I need to know which cars the customers will probably buy. 1) I need help to build my dataset which the data I have. 2) Using the dataset, predict the brands and models that I should sell to make more profit. I would like to use logistic regression, forward variable selection, backward variable selection, ridge estimation, LASSO, and others as algorithms. I need someone who is good in R programming.
I want to start a business of selling cars in Africa. I have different brands such as Toyota, Nissan, Honda. I need to know which cars the customers will probably buy. 1) I need help to build my dataset which the data I have. 2) Using the dataset, predict the brands and models that I should sell to make more profit. I would like to use logistic regression, forward variable selection, backward variable selection, ridge estimation, LASSO, and others as algorithms. I need someone who is good in R programming.
