Regression equation trabalhos

I want diabetes prediction using all types of algorithm -svm, knn, linear regression logistic regression, naive bias, random forest, regression analysis, ensemble learning. All of the model should show the accuracy rate of prediction. A graphical pie chart showing which model is giving how much accuracy and validation loss. So that we can say that ml algorithm is best for diabetes prediction. I want a tableau visualization showing all of these predictions correctly A webapp using flask and a jotform for user to use and predict easily. If you can successfully deliver I would like to work on a thesis paper for publication

...Forecasting Module into Amana Pilot Description: This project involves developing a comprehensive feature for financial forecasting within the Amana Pilot platform. The feature encompasses both front-end and back-end development, enabling the processing and display of forecasted results based on a company's historical cash flow data. Forecasts will be generated using machine learning models, such as regression, leveraging financial data from previous months. Front-End Features: - Implementation of a cash flow tracking table, displaying the evolution of cash flow for previous months and forecasts for upcoming months (e.g., 4 months, 6 months, etc.). Past data will be represented by solid bars, while forecasted data will be represented by empty or hashed bars. - Allowance ...

I require a professional who can develop a detailed sales forecasting report leveraging Power BI. The project needs to be done within one day. Key Requirements: - Utilize data from Excel spreadsheets for the forecasting. - The sales forecast should b...professional who can develop a detailed sales forecasting report leveraging Power BI. The project needs to be done within one day. Key Requirements: - Utilize data from Excel spreadsheets for the forecasting. - The sales forecast should be detailed, breaking down sales by product/service. - The forecasting model should be based on regression analysis. Ideal Skills: - Proficiency in Power BI. - Strong experience in Excel data analysis. - Proven track record in regression analysis for sales forecasting. - Ability to work under...

I am a doctoral student who has conducted mixed method research using a survey that has gleaned approximately 1171 total responses. I am looking for a professional with a strong background in SPSS to guide me through several analyses via zoom while I am doing it on SPSS. The analyses I think I will need are Descriptive statistics, Frequencies, Regression analysis, and ANOVA but I would need the person I work with to confirm this. I am working with both Numeric and Categorical data. Therefore, I need help in navigating these areas and interpreting the results. To perform to my expectations, you need to have: - Proven experience in running and interpreting SPSS analyses - A solid understanding of both numeric and categorical data analyses - Availability to work with urgency as I am ...

I need a seasoned statistician and data analyst proficient in Stata software to execute comprehensive data analysis for me. Key Tasks: - Conducting descriptive statistics, hypothesis testing, and regression analysis on a sizable dataset. - Ensuring that the analysis is thorough, accurate, and adequately covers all variables in the dataset. Specifics: - The dataset is quite large, requiring meticulous handling, especially in terms of time taken for the analysis. - There are a significant number of variables, which implies a considerable volume of data to process. Ideal Candidate: - Must be a Stata expert with proven experience in handling extensive data analysis. - Statistician background is beneficial, as a thorough understanding of statistical tests is required. This is a cruc...

My project requires a professional with expertise in econometrics, specifically regression analysis, using Stata software. It also calls for the delivery of a comprehensive report based on the analysis findings. Key Skills and Experience: - Proficiency in econometrics, particularly regression analysis - Demonstrable experience using Stata for data analysis - Ability to translate analysis results into a detailed, coherent report

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I'm in need of a skilled data analyst to conduct a thorough regression analysis using panel data in R. The primary goal is to understand the impact of one variable on another within a dataset that includes between 6-10 variables. Key Project Requirements: - Utilize panel data: Experience in handling panel data is a must for this project. The ability to understand the nuances of this data type will be crucial for accurate analysis. - Regression Analysis: In-depth knowledge of regression analysis is required, especially in the context of panel data. The ability to extract meaningful insights and estimate the impact of one variable on another is the core task. - Data Interpretation: The successful freelancer will be able to provide clear, concise interpretations of...

...DNA database. b. Identify any conditional aspects of the process, for example if there are any stages of the process where resources only become available once the previous sample has been processed. c. Second, write out the relevant equations associated with each step of the process, and construct a formula for the overall time in system. d. Use relevant notation and write out equations using Equation Editor in Word. e. Note – the rule of thumb is that any reader can pick up your report and replicate your results by following the methods. 2. Use mean values of each parameter to construct an “average” solution. a. Unit of interest – a DNA sample collected by a CSI. That is, each sample must be modelled individually. b. Assume both CSI and forensics lab op...

...medicine. I have 2 Excel datasheets already prepared for SPSS induction containing about 20 variables. The first dataset contains the measurements for the control group (14 patients) and the second dataset contains the measurements for the disease group (29 patients). I need to analyze the data to find any meaningful differences between the 2 groups (comparing means, using t and x square test, regression analysis etc when applicable) Key Project Details: - Data: The data has been meticulously prepared for SPSS induction and contains approximately 20 variables. - Analysis: - I'm particularly interested in inferential statistics to identify relationships or differences between variables. - Additionally, a correlation analysis is needed to understand the strength and...

I'm in need of a skilled statistician with expertise specifically in regression analysis, particularly with survey data. The dataset I have comprises between 10-20 variables that need to be analyzed in a regression framework. Key Points: - Crombach Alpha testing - Factor analyses - Regression Analysis: You should have a deep understanding and experience in applying regression analysis to survey data. - Survey Data: Experience with survey data is crucial as the analysis needs to be tailored to this type of dataset. - Variable Management: Managing a dataset with between 10-20 variables is a specific skillset. Ideal Skills: - Proficiency in Regression Analysis - Experience with Survey Data - Proficient in Variable Management and Analysis Your abili...

...data set, I need a professional who can help with a multiple regression analysis. Key Requirements: - Ability to conduct a large-scale regression analysis using cross-sectional data - Experience in identifying key variables in regression analysis - Proficiency in data interpretation and providing meaningful insights from the analysis Your role will be crucial in interpreting and understanding the data to identify these key variables. This will involve the use of statistical tools and an in-depth understanding of regression analysis. It's important to note that due to the extensive nature of the data set, the analysis will require a high degree of accuracy. Ideal Skills: - Strong statistical background - Proficiency in regression analysis - Ex...

...data and intraday data to predicting future values. The overall goal is to be able to evaluate investment opportunities better. Ideal Skills & Experience: - Familiarity with Python is a must, as this will be the primary language used - Proficiency in regression models, LSTM , as the chosen Machine Learning model - Experience working with stock price data analysis and forecasting - A proven record in Machine Learning project Project Requirements: - Develop a python software that can ingest and analyze historical stock price data - Apply regression models to draw predictive insights about future stock prices - Prioritize accuracy in the predictive model - Clear presentation of the results, identifying potential investment opportunities Looking forward to working with...

...to both track and predict water clarity. This requires a combination of machine learning expertise and the use of optical satellite data. Key Responsibilities: - Utilize optical satellite data to track and predict water clarity - Apply random forest and multiple linear regression models to analyze the collected field samples - Develop a robust system for ongoing tracking and prediction of water clarity Ideal Skills and Experience: - Proficiency in machine learning, particularly random forest and multiple linear regression - Experience working with optical satellite imagery - Strong data analysis and model development skills - Background in environmental science or a related field is a plus - Ability to create and implement a system for continual tracking and prediction ...

I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experi...

I'm fairly new to R, but need to apply linear regression to predict an outcome. I'd be grateful to work with someone who can guide me through this process. Ideal skills: - Expertise in R - Profound understanding of Linear Regression Experience: - Previous projects involving regression analysis - Proven results in predicting outcomes using R

Bayesian linear regression plot; svd for principal component plot. please check the attached file and let me know if you can do them perfectly

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I'm working on an academic project that requires advanced statistical analysis. I need assistance with regression analysis and hypothesis testing. The statistical analysis is for an academic project, so I need someone who has a deep understanding of these methodologies. For the documentation, a comprehensive and professional LaTeX documentation is needed. It should include advanced formatting, custom LaTeX macros, and complex mathematical formulas. Ideal Skills: - Proficiency in regression analysis and hypothesis testing. - In-depth knowledge of LaTeX, particularly in advanced formatting. - Experience in academic projects is a plus. ***It consists of 6 advanced statistics questions and you are expected to write their detailed solutions in latex.

This project is all about extracting insights from survey data. We're seeking to analyze complex relationships between variables. - Data analysis is based on Structural Equation Modelling, using AMOS software. - The provided data type is survey-intense; inside experience with large survey datasets will be a big plus. - Proficiency in AMOS is required; prior usage in a similar project context is ideal. - Objectives include finding connections between our data points and making them comprehensible. - An relevant academic or research background is a definite advantage. The end goal is to generate a transparent analysis that reveals hidden patterns and relationships. If you are a keen analyser with AMOS mastering, we would love to hear from you.

... each dataset should have its own table. Database and table creation and data insertion can be done either with the `sqlite3` package or with `Pandas`. Both SQLite and `sqlite3` come with Python. **Machine Learning Models** For each dataset you should train, evaluate, and save a machine learning model: - one model should be for a *classification* problem - the other model should be for a *regression* problem - Group of 3: you should have 2 of one type A *validation* dataset must be used to either select between models, or to choose between hyperparameter values of a single model. A *test* dataset must be used to evaluate the performance of the final chosen model. **Website** The final models should be presented to an end-user through a website. (Deployment need only be t...

I need a proficient data scientist with a strong understanding of linear regression and time series analysis to build a model from company sales data. Key Requirements: - Creation of a Linear Regression Model: The primary objective of the model will be to predict sales trends based on past data. - Time Series Analysis: The model should effectively incorporate this to help me understand how sales are changing over time. The ideal freelancer for this job would possess: - Proven expertise in data science, particularly in building predictive models. - Strong command of R, as the model should be developed in this language. - Experience in working with time series data and analysis. If you are confident in your data science skills, especially in the context of predictive sal...

Objectives: To develop a model that predicts housing prices based on various features such as location, size, amenities, etc. Data Set Link: Kaggle: House Prices - Advanced Regression Techniques () Analysis Tools/Programming Language: Python, Pandas, Scikit-learn Final Outcome: A predictive model that accurately estimates housing prices. follow a step-by-step process to create ML models predicting housing prices, create heatmaps of different features to find the most correlated feature and apply several ML models on the dataset, make an evaluation metric comparing the different models based on precision, accuracy, R2 score, etc. and present the result in easy to understand ways. send me all the codes so that it can be

Chemical Regression Analysis of Chemical Molecules to predict the molecules charges.

I am looking to analyze the relationship betwee...adhering to Scottish dietary goals influences mental health scores - The mental health score is calculated via Wembys and GHQ12 in the said survey. Ideal Skills and Experience: - Previous experience with health-related data analysis is an advantage - Strong understanding of different statistical methods. There wasn't a specific preference, but demonstrating capability in Correlation Analysis, Regression Analysis, and/or T-Test Analysis could impact selection chances. This project is not just about crunching numbers but expected to unravel meaningful insights which can bring valuable influence on health and food policies. I look forward to working with passionate, diligent professionals who care about the real-world impact of ...

...highly skilled data scientist with a strong background in linear regression, social network analysis, time series analysis, and web visualization. My project involves identifying potential future trends by leveraging data science techniques. Your role would include: - Applying your expertise in linear regression and time series analysis to predict future trends based on historical sales data. - Implementing social network analysis to understand the societal impact and potential market of these trends. - Utilizing web visualization to present these results in a simple and understandable way. Ideal candidates will have: - Prior experience with predictive modelling. - Extensive background in time series analysis and linear regression. - Proficiency in social network...

Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients. Prompt You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with prep...

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...knowledgeable in statistics to test an existing Python code. This code is designed to perform a range of statistical and probability calculations. Key Requirements: - The code should be thoroughly tested and debugged to ensure it functions correctly - The code should be capable of performing complex statistical and probability calculations, such as: - Descriptive statistics - Hypothesis testing - Regression analysis - Probability distributions - Conditional probability - Bayesian inference Ideal Skills: - Expertise in Python programming - Strong background in statistics - Experience with statistical libraries in Python (e.g., NumPy, SciPy, Pandas) - Attention to detail and ability to debug code effectively - Strong problem-solving skills and the ability to troubles...

The project comprises 6 regression models (linear, logistic, and moderation) based on a set of dependent and independent variables. I need someone with good knowledge of statistics to operate a dataset, make log transformations in the data, and give me the regression analysis results in an Excel spreadsheet.

I am in need of the expertise of a machine learning professional to develop versatile classification models including Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model. The goal is to predict NHL game results. Key aspects that need consideration are: * Team and player statistics. Required skills and experiences: * Proven track record in Machine Learning, specifically in the creation of classification models (Multi-Class Logistic Regression, Support Vector Machine, Random Forest, and Gradient Boosting Model). * Expertise in sports data analysis, particularly in the NHL. * Strong knack for accurate prediction success rate. * Able to provide a comprehensive report comparing the model results. In your proposal, please share...

I am looking for a skilled Data Science professional who can create beginner-level training projects in Machine Learning using Python. Key Project Details: - Topics: The projects should cover a range of basic Machine Learning concepts and techniques, and be suitable for beginners. Examples include linear regression, decision trees, and clustering. - Programming Language: Python is the preferred language for these projects, so a strong proficiency in Python is essential. Ideal Skills and Attributes: - Proven experience in Data Science and Machine Learning. - Excellent command of Python. The aim of these projects is to provide students with hands-on experience and a solid foundation in Machine Learning using Python.

I'm in need of an expert proficient in creating chemical thermodynamics, mathematical model and a corresponding Matlab simulation for ternary systems, focusing on vapor-liquid equilibrium . Key Tasks: - Developing a mathematical model for calculating vapor-liquid equilibrium for a ternary system. - Applying the Patel Teja equation of state to this model. - Creating a corresponding Matlab simulation code for the model. Ideal Candidate: - Proficient chemical engineering and thermodynamics. - Prior experience with creating mathematical models for vapor-liquid equilibrium. - Equipped with advanced skills in Matlab programming. - Able to provide step-by-step explanations for the developed model and code. Please be prepared to share relevant samples of your prior work in this are...

I'm looking for an expert in Python, C# and machine learning, preferably with a background in options trading. The main goal of this project is to blend machine learning with options trading strategies. Key Responsibilities: - Develop machine learning models: I'm aiming for a basic level of complexity, such as linear regression and decision trees. - Code in Python and C#: You should be proficient in both languages, as the software will be primarily in Python, but will also need to interface with C#. Ideal Candidate: - Proficient in Python and C#. - Experience in developing machine learning models, especially in the realm of options trading. - Able to handle the complexity of blending machine learning with trading strategies.

This project seeks a highly qualified professional with extensive experience in econometrics and statistical regression modeling, particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques, both with sample selection adjustments. OBJECTIVE 1.) 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 separately. 2.) Dete...

For my project, I'm seeking an expert in creating statistical formulas that would convert compiled raw data into a clean, streamlined dashboard. This formula should be able to handle the following: - Data Type: Call volume averages from the past week. - Statistical Concept: The formula should be able to perform a comprehensive regression analysis and probability calculation from the raw data. Ideal candidates should have a solid background in statistics, proficiency in data visualization and analysis, and significant experience with dashboard creation. Knowledge of how these concepts apply to call center data would be a definite plus. Effortless transformation of data into easily digestible information is the key objective here.

The aim of our project is to identify relationships between variables in a given dataset. We'll be utilizing pooled data...aim of our project is to identify relationships between variables in a given dataset. We'll be utilizing pooled data in order to conduct this analysis. If you are experienced in handling such kind of data, it would be optimal. Familiarity with regression concepts and an ability to interpret and manage data sets with less than 5 independent variables is mandatory. Key Responsibilities: - Evaluate and Identify relationships between different variables - Conduct regression analysis on pooled data Ideal Skills: - Strong understanding of regression analysis - Proficient in handling and interpreting pooled data - Experience managing datas...

...are divided into 4 different groups ( 18-30, 31-40,4 1-50, 51-64). b) Per Gender. • I want the (2.5, 5, 50, 90, and 97.5) percentiles for each lab test result (grouped according to age as well). • I want to test whether there is a statistical significance for each of age, gender, and BMI on each of the 3 lab tests ( K, L, and K/L ratio). Also, I want the 3 factors to be combined in one regression analysis. • Note that I also want the percentiles to be done after transforming the data ( Ln and Log10 transformations) so that I can rely on the one with the least skewed distribution ( best gussian distribution). • Finally, I want to compare the data that I got to similar data from a different population on which a similar paper was published using grap...

I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experi...

...PowerPoint presentation for an educational purpose. The main focus of the presentation will be on Medical Research. Key Specification: • Review of the attached study comparing Tenectaplase with alteplase for acute ischemic stroke Cover/summarize the intro, methods, results and discussion. Include which statistical analysis was used Dedicate 1-3 slide in the end to discuss common statistical regression models and how they work • Engaging yet informative slides. • Clear, precise and scientifically accurate information. Ideal Skills and Experience: The ideal candidate should have experience in crafting educational presentations, preferably in the Science industry. A solid understanding of Medical Research will give you a competitive edge. Familiarity with PowerPo...

...Delivery of comprehensible reports explaining the data analysis. - We need to extract the above mentioned data for India. The data will need to be processed, either on a quarterly or monthly basis. (Monthly is preferred). Run all the required tests on the data (autocorrelation, heteroskedasicity, check for correlation, stationarity. Run ARDL to check short and long term relationship. And run a VAR regression. We have a reference article that we want to replicate by using our time horizon, original data and code. Required Skills: - Proficiency in R coding - Extensive knowledge in financial indicators. - Ability to conduct statistical analysis. - Ability to interpret complex financial data. - Able to deliver high-quality work under a tight schedule. Your experience working ...

I am seeking a specialist proficient in QA automation with Selenium, core Java, Excel data validation, SQL database validation using JDBC, and Jenkins. You should be available to work within the US timezone CST (8 AM to 5 PM). Key Responsibilities: - Automation tasks including data, input, and field length validations - Form filling and regression testing - Filling the form with random data for testing Ideal Skills and Experience: - Proven experience in QA automation - Proficiency in Selenium, Core Java, and Jenkins - Strong knowledge of SQL database validation using JDBC - Excellent understanding of data validation principles in Excel - Adherence to the US timezone for work collaboration This role is perfect for those who are thrilled by the challenges and intricacies of QA au...

I am seeking a professional to explain the applications of various quantile regression methodologies for the analysis of wage and gender wage gap differentials based on previous studies. The review is to be done from latest to oldest, and thematically, with the main themes being: - Conditional Quantile Regression for wage or gender wage gap Analysis - Unconditional Quantile Regression (or Recentered Influence Function) for wage or gender wage gap analysis - Sample Selection Adjustment in both the conditional and unconditional quantile regression for wage or gender wage gap analysis - Comparison between the above methodologies - Quantile Regression-Based Decompositions, namely Machado-Mata Decomposition, Melly's Modification of Machado-Mata Decomposit...

I need someone to help write up a script that allows users to do some calculation on a web page. The idea is that when you have a mathematic formula, you plug in data and then perform the calculation. It is very tedious and inconvenient. It would be nice that the users do not have to see or touch the formulas, they simply input the numerical data and then click calculate button, the result pops up immediately. The formulas A/L - B/W = F and B=1-A (1+F*W)^A multiplied by (1-F*L)^B and the product is designated as R or something like this. There will be some fields for users to fill out including A, L and W (B can be calcuated when A is known, or users can define B as well), and then they are instructed to click on the calculate button to get F and R. So basically, users define A,...

...with my academic research paper on Data Analysis. Main points of the job involve: - Managing multidimensional data: Experience with sorting and managing large datasets in Python is required. You should have proficiency in handling multidimensional data sets, ensuring the accuracy and consistency of data. - Implementing regression analysis: This is the specific statistical method we will be using in our research. The successful candidate will be skilled in running regression analysis in a Python environment, and in interpreting the output. Ideal candidates will have experience in academic research, specifically in Data Analysis. Also, having familiarity with the relevant field of study will be a plus. I expect the task to be completed with utmost precision and thoughtful...

As a client, I'm seeking an experienced data analyst who is proficient in the use of SPSS software for statistical analysis. Key Tasks: - Execute Statistical analysis using SPSS Ideal Candidate: - Experience with SPSS is a must - Ability to perform statistical analysis - Good understanding and experience with regression analysis, time-series analysis, and hypothesis testing With your expert skills and knowledge, I'm assured our project will be a success. Looking forward to your bids.

...assignment. This task involves creating algorithms using Linear Regression models. I already have my specific dataset for the project which is less than 10,000 records. Ideal Skills for the Job: Data Access and download the study dataset: This dataset is a survey of 2033 residents of Canada was conducted to determine the key factors associated with political engagement. A variety of variables were measured and recorded including some tests they were asked to complete. Below is the data dictionary for the data set. One group of respondents (“Treat”) were given additional education on political matters while the other (“Control”) were not. Assignment Tasks Your task will be to used multiple linear regression to determine the factors which contrib...

...portfolio demonstrating past work in similar projects While applying, keep in mind: - Detailed project proposals - Demonstration of past work - Qualifications and experience in the sector PROVIDE SAMPLES OF LIVE COMPLETED WORK THAT IS SIMILAR TO THIS PROJECT. Overview We require the development of an application that uses machine learning for incoming invoices and receipts. Combining regression, classification, and clustering, the output is to establish a repository of purchases and create predictive analytics for future transactions. All invoices and receipts are received via email and the transactions need to be saved into the database. Scalability is integral to the design, as we expect to process over 100,000 transactions per day. To ensure you have read this scope...

I'm in need of a skilled biostatistician who can efficiently carry out a full statistical analysis on my quantitative data project. Key Tasks: - Data analysis - Utilising statistical modeling - Tailoring a detailed study design based on outcomes Required Skills and Experience: - Expertise in statistical methods including descriptive statistics, inferential statistics, regression analysis, and Chi-Square test - Proficient in biostatistics - Strong understanding and interpretation of quantitative data The ideal freelancer should be able to provide a thorough analysis and report on the data to aid in the continued development of the project. They must possess an excellent command of statistical techniques and tools with a fine attention to detail.