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    5,000 sinusoidal regression project iş bulundu, ücretlendirmeleri EUR

    I'm seeking an entry-level Machine Learning Engineer to work on a project. Though I have no specific preference for the algorithm to be used, I trust the right individual for the job would make the best selection. Skills and Experience: - As this project is suitable for a beginner level developer, prior experience solely focused on Machine Learning isn't strictly necessary. - Knowledge of basic ML algorithms such as Logistic Regression, Random Forest or Neural Networks is required. - Having a relevant degree in Computer Science or related fields would be a plus. Applicants need to: - Provide detailed information about their past work related to Machine Learning or in the broader field of Data Science. This will be essential for demonstrating capability. ...

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    As the initiator of this project, I am seeking an adept and experienced data analyst to help discover the trends and patterns in Thailand's tourism industry. I have specifically chosen you to: - Analyze the popularrity of different tourist attractions across provinces and cities - Understanding tourism spending habits across demographics and across provinces and cities I’m expecting the data to be visualized in a variety of ways: - Through informative graphs and charts - Interactive maps showing tourist hotspots - Heatmaps to display density of tourism activity - Using regression analysis and time series models The ultimate aim of this project is to identify which regions are worth for opening new store based on the analytical trends and patterns that ca...

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    I am looking for a freelancer who can provide tutorials...providing tutorials or training on statistical analysis using SPSS - Strong communication and teaching skills - Attention to detail and ability to troubleshoot issues that may arise during analysis The tutorials should cover the following topics: - Introduction to SPSS and its features - Data importing and cleaning - Descriptive statistics - Inferential statistics and hypothesis testing - Regression analysis - ANOVA and factor analysis - Data visualization and reporting The ideal freelancer should be able to provide step-by-step instructions, examples, and exercises to help users improve their statistical analysis skills using SPSS. Additionally, they should be available for ongoing support and clarification of concepts ...

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    ...algorithm (multiple linear regression) to predict startup profits (). The following steps should be done and need to be explain the code using # comments 1. Read the dataset from the csv file and put input data in X and output data in Y. 2. Deal with missing and categorical data (Data cleansing, even if there are no missing data) . 3. Divide data into four subsets (X_training, Y_training, X_test, and Y_test). 4. Train the learning model using (Linear regression algorithm) 5. Make a list of predictions Y_pred and compare it with Y_test. Explain what do you remark? 6. Make a prediction for a given data sample. 7. Without using "predefined functions" Find the following: 7.1. Total deviation of the regression line 7.2. The equation of the Multi linear ...

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    ...support with various types of statistical analysis. Specific skills and experience required include: - Proficiency in regression analysis - Expertise in hypothesis testing - Ability to perform time series analysis As a client, I have not clarified the type of data that would be used. However, being skilled in handling and interpreting numerical, categorical, and time series data would be advantageous. The purpose of this project might include making predictions, identifying patterns, or comparing groups although the specifics aren't confirmed. I encourage seasoned statisticians with a good measure of flexibility, adaptability, and problem-solving skills to bid for this project. Your ability to thrive in various statistical terrains would be crucial to succ...

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    I require a Machine Learning expert who can proficiently ...who can proficiently work on A3C with LSTM and PPO using a Transformer or LSTM in Java (DeepLearning4j). The goal of the project is not specific, but involves skillful use of these ML algorithms. The freelancer can choose the path they find best, based on their expertise in either classification, regression or clustering. Ideal skills for this project would include: - High proficiency in Java - Firm understanding of machine learning, specifically with A3C, LSTM, and PPO - Experience with Transformer/LSTM - Problem-solving skills When bidding please include: - Relevant Experience - Past work in this area - A detailed proposal on how you would operate in this project I look forward to working tog...

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    I am looking for an all-rounder expert in SPSS to assist with an imminent project. As the precise statistical analysis to be used and the purpose of the analysis isn't defined yet, I need someone who is versatile and can quickly adapt to changing requirements. Key skills/experience required: - Proficiency in SPSS - Expertise in a wide-range of statistical analyses - Descriptive Statistics - Inferential Statistics - Regression Analysis - Prior experience with datasets of various sizes - Ability to interpret results in a meaningful way - Excellent communication skills. Despite the uncertainty, I assure you that there will be continuous communication and clarity in expectations. Please submit your bid if you're confident with the above.

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    I have conducted Multinomial logit regression. I'm looking for someone who can interpret the results of the marginal effects of the multinomial regression (write-up of around 500-800 words). The analysis is related to finding the factors that affect the outcome of cricket matches. Dependent variable is match outcome which is a categorical variable which can take value of draw/ home team win/ home team lose. The ideal candidate would have a strong background in economics and statistical analysis, specifically: - An understanding of econometrics - The ability to interpret results - Familiarity with Multinomical Logit in Stata Your main task will be to provide insights and understanding from the analysis. This project requires immediate attention, so a prom...

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    Time series analysis of some models with data file. AR, MA, ARMA models, multiple regression, AIC, BIC information criteria, MSFE, Hit Ratio in R

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    ...survey (100-500 respondents). My goal is to make data-driven decisions, measure customer satisfaction, and identify patterns and trends. This will entail a comprehensive analysis using different statistical methods: - Descriptive statistics to summarize and categorize the data. - Inferential statistics to make predictions and generalizations about larger populations based on the sample data. - Regression analysis to identify relationships between variables. - ANOVA tests to analyze the differences among group means in a sample. - Correlation studies to find interdependence of multiple variables in the dataset. You should have a strong grasp of statistical methodologies and the ability to provide clear, actionable insights from complex data sets. Experience in customer satisfact...

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    Topics for Research Methodology: 1: Role of Ethics in Modern day Research Assig...day Research Assignment 2000w 2 Main Characteristics to Conduct an Effective Systematic Literature 2000w Seminar Presentation 1: Different Types of Gaps in the Research problem. Comparison of Data Collection Methods 20to 25 slides Seminar Presentation 2: Implication of choosing correct framework for authentic study design.20 to 25 slides Topics for Computer Applications: 1: Application of Regression Analysis in Advance Research 2000w 2: Efficacy of advanced statistical methods, used to ascertain the progress of the society.2000w Seminar Presentation 1: Objective of using IT tools in Research 20to 25 slides Seminar Presentation 2: Utilizing Statistical Analysis tools for Scientific Research.20to...

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    I'm looking for expertise to develop a computer application that enables data c...Research Assignment 2000w 2 Main Characteristics to Conduct an Effective Systematic Literature 2000w Seminar Presentation 1: Different Types of Gaps in the Research problem. Comparison of Data Collection Methods 20to 25 slides Seminar Presentation 2: Implication of choosing correct framework for authentic study design.20 to 25 slides Topics for Computer Applications: 1: Application of Regression Analysis in Advance Research 2000w 2: Efficacy of advanced statistical methods, used to ascertain the progress of the society.2000w Seminar Presentation 1: Objective of using IT tools in Research 20to 25 slides Seminar Presentation 2: Utilizing Statistical Analysis tools for Scientific Research...

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    As an advanced user of SAP Payroll, I'm looking to enhance my abilities in functional te...advanced user of SAP Payroll, I'm looking to enhance my abilities in functional testing, load testing, and regression testing. • Main Objective: To gain complete mastery in the mentioned areas. • Practical Needs: This project is steered towards practical hands-on experience. I need someone who can provide direct, actionable insights and walkthroughs. Ideal candidates will have an in-depth understanding of SAP Payroll testing. Extensive experience in functional, load, and regression testing is a must. Experience in conducting hands-on training will be highly appreciated. Your keen ability to impart knowledge in a clear and comprehensive manner will greatl...

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    I'm looking for a dedicated professional proficient in R for a small task. The main endeavor will be conducting a regression analysis using cross-sectional data. Key responsibilities: - Implement statistical analysis in R - Use regression analysis technique specifically Ideal candidate: - Experienced with conducting regression analysis in R - Familiarity with handling cross-sectional data - Attention to detail for accurate statistical analysis

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    I'm in need of a capable freelancer to help with writing and implementing machine learning code in R. My project touches on several aspects of machine learning, mainly focusing on: - Classification - Regression - Clustering I have a specific dataset to be used for this project which you'll be provided with. When bidding, please highlight your proficiency in these areas, including any projects you've worked on that are relevant. Ideal Skillset: - Proficiency in R - Experience in Classification, Regression, and Clustering - Strong understanding of Support Vector Machines - Knowledge of Generalized Linear Models - Experience with Cross Validation and K-Means Clustering. Your proposal should clearly outline proposed methodologies, development pl...

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    We need to create a machine learning model inside Moodle LMS using the analytics models (). Moodle currently supports two predictions processors: • PHP machine learning backend - implements logistic regression using php-ml (contributed by Moodle) • Python machine learning backend - implements single hidden layer feed-forward neural network using TensorFlow. The script for this model will be: We have a profile field on a user () and a profile field on a course (). Based on these two fields, we want the platform to suggest other courses to the user. We are looking for a recommendation mechanism for Moodle based on machine learning, matching user information

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    This project seeks a highly qualified professional with extensive experience in econometrics and statistical regression modeling (specifically Quantile Regression-QR), particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques. OBJECTIVE Determine the impact of various worker characteristics on their wage in the Sectors (regular and casual separately) using centred regression for different percentiles. Then, the gender wage gap (between males and females) will be decomposed using Oaxaca-Blinder Decomposition (or Machado-Mata-Melly Decomposition) using this centred regression coefficient for different percentiles for regular and casual sect...

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    I'm in need of a statistically adept mind, to intricately analyze numerical data pulled from a gene expression study. The objective of this analysis is to identify potential d...expression study. The objective of this analysis is to identify potential disease biomarkers through the application of biomedical analysis methods. Suitable Bidders ought to have: - Prior experience with statistical data analysis, specifically on numeric data. - An understanding of gene expression data and biomedical analytics. - Proficiency in techniques related to prediction models, and regression analysis. - Comprehension of disease biomarker identification processes and concepts. This endeavor holds immense significance and requires meticulous attention to detail. I anticipate our constructive...

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    I will code your R script and run regression analysis and other relevant tests on you data.

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    ...in R programming, with a strong foundation in hypothesis testing and regression analysis. For this project, you will work with numerical and time-series data. It involves generating code for running a regression with 4 explanatory and one dependent variable. The analysis is for a thesis, and although we have some knowledge within r and statistical programming we encountered some issues and are therefore looking for help. The tests considered relevant: - ADF and PP test, where the Phillips-Perron is to complement ADF´s inability to check for autocorrelation and heteroskedasticity in the data - Determining the correct number of lags for the regression - cointegration tests. - Panel Data Analysis. Creating a regression - explaining why this i...

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    I am urgently seeking a highly experienced data science tutor with extensive knowledge specifically in R. The lessons should concentrate on advanced linear regression models and time series forecasting. Key requirements for this project include: - Proficiency in R programming language - Advanced understanding of linear regression models - Expertise in time series forecasting - Ability to teach complex data science concepts clearly - Availability to start tutoring sessions ASAP Your previous experience in tutoring or mentoring students in data science will be key to your success in this role. Please provide details of your relevant experience and begin your proposal with 'R Tutor' so I know you've read this description in full. I look forward to your ...

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    I'm in need of an expert to help explain variations in my financial data. Specifically, I want to carry out a fixed effects regression analysis on stock prices and market indices. Key Requirements: - Proficiency in carrying out fixed effects regression analyses. - Background knowledge in finance, strongly focusing on stock prices and market indices. - Ability to interpret findings and help explain variations in data. - Provide insights that can help in decision making. Please ensure you possess these skills and have prior experience in similar projects. Looking forward to some insightful analyses!

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    This project seeks a highly qualified professional with extensive experience in econometrics and statistical regression modeling, particularly utilizing STATA software (as an alternate, R/RStudio can also be used). The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques. OBJECTIVE Determine the impact of various characteristics of workers on their wage in the Sectors (regular and casual separately) using the BEST sample selection adjustment technique along a conditional quantile regression model, and then decompose the gender wage gap (between males and females) with the same sample selection adjustment technique using Melly’s Machado-Mata Decomposition for regular and casual separa...

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    I need skilled and experienced R programmers to perform a difference in differences (DID) regression analysis on a simple time-series data set with 16 outcomes hypothesized to have been impacted by a non-experimental intervention. The aim is to inform policy decisions based on the results of this analysis. Requirements include: - Advanced skill in R programming for statistical analysis - Experience in conducting DID regression tests (not ANOVA) - Familiarity with time-series datasets The task will involve: - Running DID regression tests - Interpreting the results - Presenting findings in a clear, understandable manner I'm counting on your expertise to derive meaningful insights from this project.

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    I require a skilled statistician to create a logistic regression model for financial data estimation. The specifics of the variables or factors the model would be estimating wasn't determined. Ideal candidates will possess: - Profound knowledge of logistic regression models - Experience in creating financial prediction models - Expertise in handling incomplete data - Strong critical thinking and problem-solving skills - Excellent communication skills to explain model functionalities The role will be vital in enabling effective estimation and I look forward to working with someone who can align with this goal.

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    ...prediction using Logistic regression, Random Forest, and K-Nearest techniques. My project's datasets are small with less than 1,000 data points, destined for an academic sector application. Key Functionality: - Implement Logistic Regression, Random Forest, and K-Nearest techniques - Manage small-sized datasets effectively - Understand academic sector applications Ideal Skills and Experience: - Extensive experience in ML predictive models - Proficiency in Logistic Regression, Random Forest, and K-nearest techniques - Understanding of ML models with small datasets - Prior experience in academic sector projects is desirable. Successful completion of this project requires a precise mix of technical knowledge, practical experience, and an innate unders...

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    As a project client, I'm seeking a professional familiar with MATLAB who can seamlessly implement a linear regression method from scratch. You should have extensive experience in working with MATLAB specifically for the creation of regression models. Key Requirements Include: - Proficient in MATLAB Programming. - Comprehensive understanding and application of Linear Regression. - Deliver code free of commentary lines. Providing a clean, efficient and functional MATLAB code is the primary goal of this project. Please bid if you meet all these criteria and are comfortable tackling this MATLAB-based task.

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    I'm looking to develop an interactive and engaging chatbot that serves as a statistics tutor for students. The ideal freelancer will have prior experience in educational chatbot development and a solid understanding of statistical concepts. Key features: - The chatbot needs to cover key topics including Basic Probability Concepts, Statistical Inference, and Regression Analysis. - The interactivity level should encompass Basic Q&A to assist students with questions, Interactive Simulations for a more hands-on learning experience, and Personalized Recommendations to guide learners on what to study next. Skills needed: - Experience in AI/Chatbot Development - Knowledge in Statistics - Strong understanding of AI-education interface. The perfect candidate is someone who can c...

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    I'm seeking a proficient R Programmer who specializes in statistical modeling and inference using regression models. I have a project focused on a thorough meta-analysis of R programming and the programmer must perform sensitivity analysis and meta-regression analysis Key Aspects: 1. Data manipulation and analysis: You should be able to manipulate and analyze data well. You should understand how to prepare data for analysis and interpret results. 2. Statistical modeling and inference: This project heavily revolves around statistical modeling and inference. You should be skilled in regression models specifically meta-regression analysis and sensitivity analysis. To be successful in this job, you should have proven experience with R program...

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    As the lead for a project, I am in need of some assistance with a substantial amount of data analysis on Excel. My project revolves around: - Statistical Analysis The freelancer needed for this task should be proficient in Excel, adequate enough to perform detailed statistical analysis. This may include the use of functions for regression, correlation, histograms, and the like. Key responsibilities would include: 1. Understanding the data from excel sheets 2. Process and analyze the data using statistical analysis 3. Summarize and visualize the outcomes The ideal candidate should have: - A strong background in data analysis - Proficiency in Excel and statistical software - Excellent attention to detail - Good understanding of statistics and able to expertly use...

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    ...freelancer who can convert linear regression results tables from Excel to Word. Timing is of essence in this project and I require someone who can deliver as soon as possible. The final outcome of the project will be regression tables in Word, following a specific format: • Formatting and Layout: I will provide examples of previous tables as a template that you should follow for consistency. Hence, an eye for detail and ability to replicate the style and format is crucial. Given that each table is slightly different, please do not hesitate to reach out to me with questions. Ideal skills and experience: • Excellent skills in Word and Excel processing is a must. • Fast turnaround time and ability to meet deadlines. • Previous experienc...

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    ...sector. For my project, I require assistance with various aspects of statistical analytics, particularly: - Principle Component Analysis - Ordinal Logistic Regression - Interaction Terms I need to focus on visualizing customer satisfaction with public transit. The main measurement tool for customer satisfaction that we will use in this project will be through customer surveys. It is essential for the freelancer to have: - Proven experience in statistical analytics. - Expertise in data visualization and predictive modeling. - Good knowledge of urban public transit systems. - Experience in customer survey analysis. - Mechanisms for visualizing data to be used in a detailed report. Good communication skills are required for potential clarification or adjustments t...

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    Apply a suitable regression technique and fit a regression model to predict the Miscellaneous expenses given all the attributes except the date attribute. Print the predicted and actual values the test data for Miscellaneous (£) expenses. Use an appropriate regression metric to evaluate the performance of the regression technique utilized. using your own words, describe the chosen regression technique, clarity on why you have chosen the specific regression technique, elaborate on what insights it tells you about the model's prediction, and interpret how the metric is useful to measure the model's prediction performance.

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    I am in search of an expert in time-series analysis (dynamic regression model) to perform a comprehensive study of electricity prices. This project will focus on the year 2017 to 2022 and will require a depth of knowledge in various influential factors including weather conditions, production levels, import and export data, among others. Here is a breakdown of the key requirements for the project: Time-Frame & Detail - The timeline for the investigation is 2017 to 2022. - Analysis should be conducted at a weekly level of detail. Influential Factor Analysis - Examine the impact of factors such as weather patterns, changes in production levels, and import/export data. - Explain how these factors correlate with fluctuations in electricity prices. Ideal Candidate ...

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    I need help with a survey project in statistics. The main objective of the study is to collect demographic information, specifically, age and gender-related data. Below are the high-level requirements: - I require solid skills in probability, hypothesis testing, and regression analysis. - The project involves surveying a particular demographic to gather relevant data. The focus is on age and gender parameters. Ideal Skills Required: - Deep understanding of statistics, particularly in Probability, Hypothesis Testing, and Regression Analysis. - Experience in carrying out statistically focused demographic surveys. - The ability to extract specific demographic parameters such as age and gender from the collected data. Informed bids from interested freelancers ...

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    I'm seeking a skilled statistics professional adept with the R programming language. This project requires a comprehensive understanding of descriptive statistics, hypothesis testing, and regression analysis to complete the task. Key Skills and Experience: - Mastery in R language for descriptive statistics - Expertise in conducting hypothesis testing - Proficient in regression analysis - Experience with scatter plots for data visualization Your role will include applying descriptive statistics, hypothesis testing, and regression analysis. Applicants must present a track record of utilizing R programming for statistical analysis, especially in the capacity of exploring intricate data patterns.

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    I am in need of automation for Unit Testing, Integration Testing and Regression Testing in a project written in Java. The ideal freelancer for this task should have: - Strong knowledge of Java programming. - Experience in automating Unit Tests, Integration Tests, and Regression Tests. - Proven track record in establishing a comprehensive testing suite for Java projects. While you are free to recommend a testing framework based on your experience, it's important to note that I don't currently have a preferred framework. However, familiarity with commonly used frameworks such as JUnit, TestNG or Mockito would be advantageous.

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    I'm in need of a regression analysis conducted on the S and P 500 Futures based on based on a custom formula. This analysis will serve as a back test for my trading formula, which can be optimally enhanced by a freelancer with experience in data analysis, financial markets, and econometrics. Key requirements: - Conduct regression analysis using specific formula which I will provide - Utilize market indices data specifically related to the S and P 500 Futures for backtesting - Ideal candidates will have: - In-depth understanding of financial markets, particularly the S and P 500 Futures - Strong analytical skills with experience in statistical regression analysis - Proficiency in handling large datasets and performing backtesting.

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    ...years. 1) Data Analytics with Python Course: Content (introduction to python, data wrangling with pandas, descriptive statistics with python, data visualization with seaborn, t-test/anova /chi-square tests with python, correlation, regression with statsmodel) 2) Machine Learning with Python Course: Content classification(dcision trees, knn, naive bayes, logReg, classifier evaluation) regression (linear regression with normal equation, stochastic gradient descent, polynomial regression, ridge regression, lasso regression, elastic net, early stopping, regression trees) advanced supervised learning concepts (feature extraction, imbalanced data ,cross-validation, hyperparameter tuning with grid and random search, overfitting/underfitting),...

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    ...Multivariate Regression Analysis. A Quick Overview I have gathered a decent amount of scientific experiment data, and my primary need is to analyze this data through multivariate regression, identify key relationships and trends, and interpret the results accurately. I need a statistical expert for the analysis of the data for a thesis titled 'Assessing key determinants of housing prices: A case of Pune' with the objective to 1. To define factors influencing housing prices in the Indian context 2. To measure the impact of each factor on housing prices 3. To identify variations in housing prices corresponding to property attributes Data will be provided you are expected to clean and format the data making it ready for analysis, By Hedonic Pricing Model, cr...

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    As a PhD candidate, I'm in need of a skilled freelancer to assist with analyzing my quantitative data. Here's what you need to know: - Objective: The primary goal of this task is to generate insights and recommendations from my data. - Data Type: The project involves rigorous examination of quantitative data collected through my research. - Analysis Technique: Descriptive analysis is the preferred method to accomplish this task. Ideal Skill and Experience: To succeed, you'll need applied knowledge and experience in data analysis, specifically descriptive analysis of quantitative data. Prior work on academic or research projects will be a boon. PLEASE READ THE PROTOCOL ON THE REQUIRED DATA ANALYSIS The survey's quantitative data analysis will be conducted usin...

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    ...statistical analysis, particularly logistic regression and the understanding of odd ratios. The tasks for this project include: - Carrying out a thorough logistic regression analysis. You should have a deep understanding of logistic regression as a predictive analysis tool and an ability to calculate and interpret the odds ratio. - Using SPSS software for all computations and analyses. Thus, proficiency in SPSS is mandatory. Being able to flawlessly navigate this software will be a key determinant of your success in this project. - Effectively interpreting and explaining the outcomes of the logistic regression analysis. After carrying out the analysis, you will be required to provide a comprehensive, yet clear explanation of the logistic r...

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    Are you able to fit into this format? • Are you able to include scr...(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 Do you use automated site scans and manual testing and provide before and after detailed reports? Can you provide WCAG 2.1 AA compliance standards? • Are the developers and auditors IAAP certified? Do they have disabilities of the...

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    I'm searching for an experienced MATLAB developer to craft a unique K-Nearest Neighbors (KNN) regression algorithm. Key Details: - You'll need to draw from a small public dataset to fine-tune this model. - A strong knowledge of regression methods, particularly in relation to KNNs, is crucial. - Prior MATLAB experience is a must, particularly with implementing algorithms. Overall, this project requires an analytical mind, an affinity for problem-solving, and the ability to work well within MATLAB's coding environment. The right developer will demonstrate an understanding of regression methods and the ability to apply this knowledge to small, complex datasets.

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    I'm seeking the assistance of a skilled data analyst for the interpretation of some numerical data. This project will largely involve the employment of statistical analysis techniques with specific focus on regression analysis. Key Responsibilities: • Interpret numerical data • Perform rigorous statistical analysis • Implement regression analysis techniques The ideal candidate for this task will have exceptional skills in statistical analysis, strong expertise in regression analysis and a profound understanding of numerical data interpretation. Proficiency in software programs such as SPSS, Excel, R, and other statistical analysis tools is a definite plus. Prior experience tackling similar data analysis projects is highly valued and will ...

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    ...mobile device testing, particularly with Android and iOS platforms. Additionally, proficiency in tools such as Selenium, Appium, Bamboo, and Sourcetree is essential for success in this role. Responsibilities: Develop and execute comprehensive test plans and test cases for mobile applications. Design and implement automated tests using Java scripting to ensure efficient testing processes. Conduct regression testing, performance testing, and compatibility testing on various mobile devices. Collaborate closely with software developers to identify and resolve defects in a timely manner. Utilize tools such as Selenium, Appium, Bamboo, Sourcetree, Xcode, GitHub, and Jira to enhance testing capabilities. Participate in Agile development processes, including sprint planning, daily stan...

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    ...number of units sold, and regional sales data. The goal of this project is to interpret our historical data to forecast future trends and make informed business decisions. Key Responsibilities: - Perform data cleaning and pre-processing activities - Apply Python to carry out predictive data analysis - Generate valuable insights suitable for strategy making Ideal Skills and Experience: - Proven experience as a Data Analyst - Strong knowledge in predictive analysis - Proficient in Python for data analysis - Understanding of sales data and metrics - Excellent analytical and problem-solving abilities - Previous experience in the retail sector will be a bonus Need the help to solve the below 2 problems: Problem 1: Linear Regression You are a part of an investment firm...

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    ...similar sources. Key Requirements: - All algorithms developed for this project must be innovative – not borrowed or modified from existing sources. - The project will not focus on a specific type of fraud; therefore, versatility in handling various types of fraud is essential. - I have a unique dataset in mind for training the system. This will be discussed further once the project commences. Ideal Skills: - Proficiency in both machine learning and deep learning - Ability to create original algorithms - Experience with dataset management - Extensive knowledge of fraud detection The main idea of my project is to combine machine learning techniques like Random Forest, Decision Trees, Support Vector Machines, Logistic Regression, K-Nearest Nei...

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