...paramount in this project, having an insightful understanding of data organization and presentation will be appreciated. In this project, efforts will be channeled towards changing 7 existing SPSS tables to match APA 7th edition requirements, including double-spacing, 12 point-font, Times New Roman font style, and, if needed, notes under the table or necessary italicization or bolding of headers/keywords. Manual entry of descriptive text and data values to form each independent table is needed. In other words, raw data cannot be provided to manipulate or recompute in SPSS or any other program! The SPSS tables currently display: Table 1. 4 columns and 13 rows Table 2. 11 columns and 7 rows Table 3. 11 columns and 6 rows Table 4. 6 columns and 2 rows Table 5. 7 col...
...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
I'm in need of a seasoned biostatistician who is adept at using SPSS/SAS for a project that involves hypothesis testing. - The project involves hypothesis testing specifically; an understanding of the associated statistical techniques is essential. - Proficiency in SPSS/SAS/R/Stata is a must. - A background in biostatistics is highly preferable. - Experience in the medical or clinical data analysis field is a big plus. - Attention to detail, accuracy, and ability to communicate findings in a clear, concise manner is crucial. Please bid if you're confident in your ability to deliver quality work in this domain.
Project Deliverables: 1. Complete research paper manuscript in accordance with JAN guidelines. 2. Data sheet such as MS Excel or SPSS etc. Payment schedule: Complete payment transfer after the manuscript is received and checked by the client. P.S. The revisions proposed by JAN will be incorporated even after the payment release or project completion.
I have a very small dataset and need to do some statistical analysis using SPSS. Need the results in 2 days due to small dataset. Key Responsibilities: - Conducting hypothesis testing using SPSS - Descriptive statistical analysis - Interpretation of the analysis - etc. See the attached files. Ideal Skills and Experience: - Proficiency in SPSS - Strong background in hypothesis testing The answers should be clearly written in a word document. Should you choose to take on this project, please be prepared to start immediately.
I'm in need of a Machine Learning Engineer who can migrate our models from RStudio to AWS Sagemaker. Your task will be to: - Understand the Rstudio models I have running locally. It is one Rstudio logistic regression model with several other codes for the data transformation part-, all in Rstudio. R. - Migrate The Rstudio 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 an...
I'm seeking an expert in SPSS for a statistical significance analysis. This analysis is crucial for understanding the impact of specific factors in our data and identifying relationships between variables. The ideal candidate should have: - Proficiency in SPSS - Experience in conducting statistical significance test - Ability to interpret results and draw appropriate conclusions.
...engaging sports psychology research project that is primarily aimed to evaluate the statistical significance of a set of data. With a sample size 150, the project largely involves the analysis of numeric data and values. Requirements 1) Normality testing 2) Correlation analysis 3) Moderation analysis 4) T - test 5) Reliability Ideal Experience and skills for the project: * Extensive experience in SPSS (version 21 and above) * Advanced analytical and statistical knowledge * Proven record performing research projects on statistical significance * Proficient in numeric data analysis Task Description: * Evaluation of statistical significance of the sample data * Detailed analysis of numeric data patterns * Create a comprehensive report of findings, highlighting key correlatio...
I need help in SPSS task. Need SPSS analysis and a report
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.
... 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...
I require assistance in analyzing financial data within the health sector. The key objective is to pinpoint trends in...Thoroughly reviewing and extracting insights from financial reports and documents relevant to the health industry. - Recognizing, understanding, and managing complex patterns in the data. Ideal skills for this task should consist of: - Strong background knowledge in financial analysis and health economics. - Excellent data interpretation capabilities. - Familiarity with statistical data software (like SPSS, SAS) is preferred. You'll be working with sensitive information, thus compliance to privacy regulations and ethical guidelines is essential. I am open to both individuals and teams with adequate experience in financial data analysis, particularly in the...
I'm seeking a knowledgeable statistician who can assist in...assist in medical research, focusing primarily on disease prevalence assessment. This statistician will be working with both continuous and categorical variables within a dataset of less than 100 samples. Key Responsibilities: - Expert analyses of complex medical data - Application of appropriate statistical methodologies Ideal Skills and Experience: - Proficient in statistical software (e.g., SPSS, Stata, R) - Experience with medical research - Understanding of disease prevalence studies - Comfortable working with small datasets - Strong grasp of both continuous and categorical variables Your expertise is vital in advancing this medical research project. If you possess the skills and have a passion for resear...
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 have expertise on spss and statistical analysis.
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 ...
I am seeking assistance in conducting an aggressive driving behavior analysis using SPSS. Being a Likert scale analysis, the project's primary focus is to comprehend the behavioral tendencies in aggressive driving, particularly self-reported accidents. Here is what will be required: Objective - The project's main aim is to examine aggressive driving dispositions with the primary focus on self-reported accidents in the framework of Likert scale analysis. Criteria for Analysis - The analysis will mainly focus on aggressive driving behaviors, allowing a comprehensive understanding of underlying issues in self-reported accidents. Seeking Experts with: - Proficiency in SPSS software and data analysis. - Experience in conducting likert scale studies. - A background in ...
...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...
...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 in need of immediate assistance for my doctoral science project. Specialist skills and experience required are: - Capability in testing hypotheses: Expertise in the formulation of hypothesis experiments is crucial for this project. You should be an analytical thinker who can logically test theories and perform effective interpretations of results. - Proficiency in data analysis: The ideal person for this project will have remarkable skills in data collection, organization, analysis, and interpretation. With a robust understanding of both qualitative and quantitative research data, you should be able to accurately process a large volume of scientific data efficiently. - Mastering theoretical explanations: Demonstrative command of scientific theories and explanations is highly releva...
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 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...
I want someone to do a statistical analysis for me using spss. My data consists of 150 participants whose age, gender, BMI, and 3 lab tests ( level of K, L, and K/L ratio) were conducted upon ( results are provided as numerical value ). • I want descriptive statistics and charts based on: a) Age group where they 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...
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...
In this project, our primary objective is to identify clusters and compare group means using SPSS. **Detailed Requirements Include:** - Execute a comprehensive group mean comparison. - Conduct precise cluster identification. - All analysis is to be done using SPSS. Prior experience and expertise in SPSS is a must. Objective of the research: identify whether the performance of banks differs with the level of digital maturity. Three levels of digital maturity: digital beginners, digital followers and digital leaders Data covers 8 banks on a 5-year period: 2018-2022 Banks should be allocated to one of the 3 clusters using k-means algorithm depending on their performance on certain ratios. K-means should be repeated for every year to see if cluster composition chang...
Hello! I require an experienced data analyst to manipulate and prepare six complex datasets for analysis in SPSS. Tasks include: - Merging and tidying of datasets - Ensuring all data are ready for subsequent analysis Ideal candidates should: - Have deep proficiency in data wrangling, particularly in SPSS. - Possess a strong handle on statistical analysis to anticipate the needs of this project.
...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 am currently seeking an expert in SPSS to help overhaul and merge six sets of data that I've received from my gorilla research project. This job will involve meticulously going through all data datasets, merging them into one master file, and tidying up excluded specifics. Here's how I envision the project to unfold: • Data Assessment: Identify and analyze each dataset and its variables. • Data Wrangling: Apply your SPSS skills to effectively integrate these sets into a single dataset, ensuring cleaner and precise data. • variable cleaning : will discuss which variables on chat Ideal Skills and Experience: • Proficiency in SPSS. • Strong understanding of data analysis, manipulation, and wrangling. • Exceptional attention to...
I am currently seeking an expert in SPSS to help overhaul and merge six sets of data that I've received from my gorilla research project. This job will involve meticulously going through all data datasets, merging them into one master file, and tidying up excluded specifics. Here's how I envision the project to unfold: • Data Assessment: Identify and analyze each dataset and its variables. • Data Wrangling: Apply your SPSS skills to effectively integrate these sets into a single dataset, ensuring cleaner and precise data. • variable cleaning : will discuss which variables on chat Ideal Skills and Experience: • Proficiency in SPSS. • Strong understanding of data analysis, manipulation, and wrangling. • Exceptional attention to...
...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...
I'm in urgent need of a proficient statistician with a deep understanding of medical research. My research involves multivariate analysis so your experience and proficiency in this field is vital. Key Requirements: - Proficiency in medical research statistical analysis, specifically multivariate analysis is a must. - Strong command over using SPSS for statistical analysis. - Demonstrated experience in medical research preferred. This project would require a quick turnaround, thus your dedication, knowledge and skills in this field would be greatly appreciated.
I’m in need of an a doctoral research assistant with deep expertise in the field of renewable energy supply. The expected duration for this project will range from 1 to 3 months. As a Research Assistant, your key goals are to develop, analyse and conduct expert analysis on both quantitative and qualitative research methods in global energy markets (SPSS , NVIVO & Smart PLS). Here are the key tasks for this project: - Data Collection and Analysis: The assistant will gather data related to renewable energy, process the raw information and identify trends, patterns, and insights from the collected data. - Literature Review: You will review and synthesize existing literature on the topic, identifying gaps in current knowledge and opportunities for new research. - Exper...
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...
