Correlation and regression jobber

...quantitative data analyst well-versed in AMOS and SPSS. The project is focused on: - Data Analysis: The main task is to conduct correlation and moderation in Amos. - Statistical Modeling: Create and employ statistical models as a critical part of the data analysis process, with specific focus on correlation and moderation. - Research Support: There will be some instances where you would need to support ongoing research. Knowledge in research methods would be advantageous. Ideal Skills: - Proficiency in AMOS and SPSS - Strong experience in statistical modelling - A background in quantitative data interpretation - Understanding of research methodologies - Familiarity with correlation and moderation in a multivariate data...

I'm seeking a skilled data analyst to analyse data in SPSS to test my hypotheses relating to social media usage and exercise addiction. The goal is to identify and delineate trends and patterns from the data. I'd prefer to receive the results in a comprehensive report that I can include in a lab report. Key Tasks: - Analyze data - perform correlation, regression, mediation or moderation - Identify trends and patterns - Create a comprehensive report summarizing the analysis, report all results in APA style Ideal Skills: - Proficiency in SPSS, ideally with at least a Bachelors level degree in Psychology - Strong data analysis and interpretation skills - Ability to present findings in a clear, concise manner Experience: - Prior exp...

...is to cater to beginners and intermediate level practitioners who have a basic understanding of programming concepts. The ideal candidate for this job would have: - A strong understanding of machine learning algorithms and their practical applications - Experience in creating interactive web platforms - The ability to simplify complex concepts for a beginner audience - Good programming skills, as some technical programming knowledge will be required for creating the interactive elements Key requirements for the interactive web platform include: - Clear, concise explanations of various machine learning algorithms - Interactive elements such as quizzes, exercises, and visual demonstrations to enhance the learning experience - User-friendly design that is accessible ...

I am seeking a proficient statistician well-versed with Excel, regression tests, and correlation tests, to analyze 380 responses for my thesis research. Key Responsibilities: - Perform regression tests. Although specific tests aren't specified, proficiency in linear, logistic and multiple regression would be advantageous. - Conduct Pearson and Spearman correlation tests. Knowledge of Kendall correlation tests would be a plus, though not required. - Outcome of these tests should form my data analysis and findings chapter. The successful candidate will provide a written summary detailing the results, their significance and implications to the overall study. - Also in data analysis chapter write about th...

I'm seeking a machine learning wizard, proficient in diverse tasks including Classification, Regression, and Clustering. Ideal Candidate: - Expert in Python programming. - Comprehensive experience with prominent machine learning libraries including Scikit-learn, TensorFlow, and PyTorch will be essential. This project will require the development and fine-tuning of diverse machine learning models, hence requiring considerable expertise in the same field. Your role will not only involve model creation but also optimization and performance evaluation. Your ability to handle complex multi-dimensional dataset will be integral in this project. Please only apply if you possess these capabilities and are prepared for a power-packed machine lear...

I am seeking an expert in Multiple Regression Analysis to evaluate the disparity between black and white judicial outcomes using public data. Your primary task will be: * Assessing the impact of multiple factors to understand the composition of racial disparity in the judicial system * Analyze and interpret the regression outputs to identify significant factors contributing to the disparities The ideal candidate will have: * Strong statistical skills, including experience with multiple regression analysis * Proficiency in statistical software to handle public data * Experience in socio-economic or judicial data analysis would be a plus. Your final deliverable should be a detailed report outlining your findings and recommendations based on th...

I am urgently seeking a Python guru to fix a function issue in my linear regression code within 3-5 hours. This code is built using Python libraries - NumPy, scikit-learn, and pandas. Please only get in touch if you can confidently resolve this within the specified timeline. Your strong experience in dealing with Python's syntax, particularly in the context of these libraries, will be highly valued.

...classification - Strong understanding of Logistic Regression and Neural Networks - Strong understanding of key concepts within Machine Learning IMPORTANT: MUST BE ABLE TO POST REGULAR UPDATES AND PROJECT MUST BE FINISHED WITHIN 2-3 DAYS Your responsibilities if you take on this project would include: - Developing and training a machine learning model on images of objects - Training and testing of new model based on ResNet-18 - Testing and optimizing the model for accuracy - Outputting metrics such as accuracy, F1 score, precision recall curves etc - Visualise model performance through relevant plots (e.g., confusion matrix, receiver operating characteristic curve, precision recall curves) - Evaluation of results particularly with respect to ...

I'm looking to develop a simple AI prediction model with a regression algorithm, and a React frontend with Dashboard. This project aims to showcase historical prediction accuracy using real-time data from APIs, dataset i will provide in CSV file formate about crops. Key Requirements: - Creation of a regression model: The AI prediction model needs to be built using regression techniques. - Data source: The model should fetch real-time data from APIs, pre defined data. - React Frontend: The primary goal of the React Dashboard is to showcase historical prediction accuracy. - SaaS Model: Create subscription for 3 tires. Ideal Skills: - Strong experience in developing AI prediction models, particularly regression models. - Proficiency in working wi...

...my data analysis and regression tasks. Key Responsibilities: - Conducting descriptive statistics: I need assistance in clearly representing my data to understand its central tendencies, variability, and distribution. - Regression analysis: You will be tasked with helping me to analyze the relationships between key variables in my data, and to make predictions based on this analysis. Ideal Candidate: - Profound knowledge of Biostatistics: It's essential that you have a deep understanding of statistical techniques and their application in the realm of biological and public health sciences. - R Programming Proficiency: As I specifically require the use of R for this project, it's important that you are an expert in this language ...

...Experience in machine learning, specifically image classification - Strong understanding of Logistic Regression and Neural Networks - Strong understanding of key concepts within Machine Learning Your responsibilities if you take on this project would include: - Developing and training a machine learning model on images of objects - Training and testing of new model based on ResNet-18 - Testing and optimizing the model for accuracy - Outputting metrics such as accuracy, F1 score, precision recall curves etc - Visualise model performance through relevant plots (e.g., confusion matrix, receiver operating characteristic curve, precision recall curves) - Evaluation of results particularly with respect to AUC and accuracy. - Provide technical detai...

...to understand customer preferences and effectively optimize ingredient usage. Ultimately, I aim to drive production and increase efficiency. Key Tasks: - Perform Trend Analysis: I'd like to understand the current trends in meal reservations. This includes identifying popular recipes and potential changes over time. - Customer Segmentation: I need support in segmenting my customers based on their preferences. This is crucial in tailoring our services and offerings. - Ingredient Correlation Analysis: I'm interested in exploring the relationship between ingredients. This will help us in optimizing ingredient usage and potentially reducing waste. Ideal Skills: - Proficiency in data analysis and visualization tools. - Experience in...

...on this project within the next 6 hours. Despite not specifying a type of analysis, methodology or specific information freelancers should include, I'm after broad expertise and flexibility. Skills and experience: • Broad range of data analysis techniques • Proven ability in descriptive, inferential and time series analysis despite my lack of specification • In-depth understanding of regression analysis, machine learning algorithms and time series forecasting despite no imperative directions • Swift turnaround time, with the ability to meet a 6-hour deadline from the moment of hiring Please include your past work and experience related to epidemiology in your application. Detailed project proposals are advantageous ...

I'm in need of a fr...the ecommerce platform we're using. While we haven't decided on the specific data types yet, it's likely the file will include product, pricing, and inventory information. I highly value the skill and experience over promises. So, in your application, please provide examples of past work in this area rather than comprehensive project proposals exclusively. Although we didn't specify whether we need a test file before the start, we're flexible in this area, and are open to discussing what works best for the freelancer in correlation to their workflow. Experience with ecommerce platforms would be advantageous, as well as strong attention to detail and ability to work within timelines. Thanks for conside...

...for a skilled professional specializing in Selenium testing, to write and automate 1000 functional, regression, and performance test cases in a span of 10 days. Given the scope of the work, it is expected from interested freelancers to have: - Proficient knowledge around Selenium and its diverse testing capabilities. - Experience in creating and automating functional, regression, and performance test scripts. - A strong understanding of automation frameworks and testing methodologies. - The ability to complete the project in the stipulated 10 days. Although not expressly stated, proficiency in popular programming languages (Like Java, Python, C#, etc.) and the capability to execute test cases across various browsers a...

I need a data analytics expert to execute a house price prediction project whi...house price prediction project while also comparing various prediction models using R. Aspects of the project include: - Execution of data cleaning and preparation - Building various prediction models including regression and w.r.t a single & multiple features - Interpreting and visualizing the results of these models and comparing the model performance using metrics such as R2, RMSE etc - Crafting an academically sound 1500-word report summarizing the findings and related literature The ideal freelancer will have substantial experience with data analytics in R, specifically with data cleaning, model building, and results interpretation and visualiz...

...thorough regression analysis. Requirements: - The goal of this analysis is threefold: identifying trends, making predictions, and evaluating hypotheses. - I possess varied data types including numeric, categorical, and time series. - Particularly, there's a focus on Population Growth rate in time series, accompanied by other factors such as gender and nationality Variables for Analysis: - The specific elements to involve in the regression analysis encompass population growth rate, gender, nationality, and the time factor (in years). Ideal Skills and Experience: - The freelancer should bear robust expertise in Statistical Analysis, preferably in Regression Analysis. - Proficiency in handling diverse data formats. - Solid ex...

analysis data (statistics) i would like you to done this work pls The requested are: 1- -Measurements of central tendency -Mean median -Std -Variance skew -Regression -Correlations 2- -Time series analysis and expectations -Regression

I'm working on my university economics project requiring assistance with econometrical modeling in Stata. Specifically, I need help applying a linear regression model. The ideal freelancer for this job is highly proficient in Stata with extensive experience in econometrics. Key requirements include: - Expertise in using Stata for econometrics analysis. - Good knowledge and understanding of economics, specifically in creating and applying linear regression models. - Ability to instruct me on the steps taken to provide an understanding of how to utilize these skills in the future.

I'm seeking an expert in R programming and Linear Algebra to analyze a large dataset comprising more than 10,000 rows. As a skilled professional, you'll need to: - Apply your knowledge of Linear Algebra to tackle data analysis. - Perform descriptive statistics to understand the characteristics of the dataset. - Employ regression analysis tools to establish relationships within the data. - Visualize data trends and patterns employing advanced R techniques. The ideal candidate should have substantial experience in data analysis with R and a solid understanding of Linear Algebra. Your portfolio demonstrating similar projects will place you ahead.

...increases and their impact on the real estate investment market: A critical analysis of value and performance indicators" I need a presentation in the form of a regression created with Excel in which dependent and independent variables are modeled according to this topic. Proper presentation and clean work is very important here, so that the model can be interpreted and analyzed well. You have to provide me with the necessary data sets and use them for the regression, I only will tell you which variables to use, so research for the data is included. I will define the variables in more detail and describe what exactly I want to show with the regression. It will be about the behavior of interest rate development,...

...property data using web scraping tool. Key tasks include the following: - Applying sophisticated statistical techniques to gather and analyze property data (Using Web Scraping Tool) - Providing data analysis in Excel form for ease of understanding and manipulation On this project, your primary focus will be analyzing and visualizing this data so I can better understand property trends and make informed decisions. Ideally, you will have experience working with property or real estate data and can recommend the best way to gather, clean, and pre-process this data for optimal results. The ideal candidate will have skills and experience in: - Advanced Excel - Regression analysis - Real estate or property data - Strong problem ...

...attributes such as car model, engine size, fuel efficiency, and fuel emission are correct. I then need to apply Principal Component Analysis (PCA), Clustering, and Partial Least Squares (PLS) regression techniques to the data. Key Requirements: - Data Cleaning: Ensuring all values are in their correct form - Feature Selection: Focus on Car model, Engine size, Fuel efficiency, and fuel emission values - Principal Component Analysis (PCA): For dimensionality reduction - Clustering: To identify inherent patterns and groupings within the data - Partial Least Squares (PLS): For regression analysis Ideal Skills and Experience: - Strong proficiency in data cleaning and analysis - Previous experience with Principal Component Analysis, Cl...

I am looking for a discussant who can bring my project to success with their advanced knowledge in statistical methods, particularly maximum likelihood estimation. Here's some more details: - Software to be used: Orange - Dataset size: Less than 1GB Your role will involve implementing effective statistical solutions to logical regression using Orange. Ideal Skills and Experience: - Proficient in maximum likelihood estimation - Excellent mastery of the Orange software - Experience in handling datasets of up to 1GB - Able to deliver interpretations of analysis in a non-technical way. Kindly provide examples of similar projects you've done in your proposal.

...Statistical Analysis and Modeling: This will form the heart of your duties. They would involve all aspects, from Regression Analysis, Time Series Analysis to Factor Analysis. Experience in all these aspects is mandatory. Goals: 1. Predictive modelling: We should be able to make accurate and reliable future projections from our data. 2. Exploratory data analysis: Uncover the underlying patterns and understand the structures within our data. 3. Hypothesis testing: Finally, test the assumptions we've gathered from our data. Experience in working with statistical analysis software, STATA, is essential for this project. Additionally, a background in data science, statistics, or a related field will be beneficial. If you can demonstrate an ability to perfor...

...Dynamic Trading Strategy Design: • will provide auxiliary materials ( 2 files ) and Jupyter Notebooks (“ Regression for Pair ” are related to this project. • Design an improved version of the pairs trading strategy (will share with freelancer chosen) by including more stocks in your strategy. • You can consider using the top 100 stocks () and their daily close price during the period of 2019 - 2020 [Note: you may not have access to all the stocks from Yahoo Finance during this period; please explain how you handle this issue]. • Explain whether dimension reduction techniques are needed. • Explain how you measure the performance. • Please show both the in-sample and out-of-sample performance. • Show e...

...seeking a highly skilled Python and Machine Learning expert to assist with ongoing tasks in my project including feature engineering, data preprocessing, and model selection. Although I didn't specify them in the earlier questions, these tasks are vital to my project. To apply: • Provide a detailed project proposal that lays out your approach to the tasks above in order to allow me to understand how you would approach my project. • Demonstrate your expert level proficiency in Python to ensure you could handle the technical aspects of my project. By providing these details, you'll better assist me to understand your capabilities and confirm if you're a good fit for my project. Ideal Skills: - Expert Python developer - Proficient with ma...

I'm seeking a skilled freelancer in Python programming with a deep understanding of machine learning algorith...understanding of machine learning algorithms. The main goal of this project is to create a machine learning model with Python that can be used for classification, regression, or clustering. It's important that the freelancer is able to provide explanations of the code and the underlying algorithms used. This is crucial as I'd like to understand the process and logic behind the model. Chat with me for full project details. Ideal skills and experience for this project include: - Proficiency in Python - Strong background in machine learning algorithms - Ability to clearly explain complex topics - Previous experience with classification, ...

This is a small project about Transformers to a problem of interest. You can pick any problem/dataset and implement a Transformer-based model to conduct a task (e.g., classification, regression, etc.) should consist: 1. Description of dataset/task. 2. Transformer Implementation 3. Transformer component changes. anything you need to change to make the model perform the task at hand (e.g., embeddings, output layer, etc.) 4. Training/Evaluation.

As part of a research study, I require a highly skilled individual who is well-versed in psychological statistics and comfortable/SKILLED using SPSS software. Key tasks will involve: - Data analysis - Hypothesis testing - Descriptive statistics - ANOVA - Chi Square Goodness of Fit - Correlation & Regression - Two-way Chi Square (Test of Independence) Ideally, the suitable candidate will possess a strong and verifiable track record in these areas, and be able to provide evidence of successfully completed similar tasks. This project will be an excellent fit for a meticulous person with a keen eye for detail, and the ability to deliver within tight deadlines.

I seek a solution-oriented software developer to create a specialized software for my Windows system, which can apply multiple prediction models to an Excel sheet. Key Functions: - Incorporating various prediction models: This includes not only regression, classification, and clustering models, but also decision trees, neural networks, random forests, and support vectors. Ideal Candidate: - Expertise in developing Windows compatible software - Strong understanding of data prediction models - Knowledgeable in Excel functionalities - Ability to integrate sophisticated prediction algorithms The final outcome should be a user-friendly software that enhances my productivity by allowing me to apply versatile prediction models to my data effortlessly.

Hello i want Full-Time QA Tester/Manager Only freelancer Bid Company/Agency please dont bid Bid After check full description and please start the bid from "QAT01" - Developing and implementing test plans - Conducting functional, regression and performance testing - Identifying and documenting software defects - Managing and coordinating with client and Development team I have few project going on i need QA who check and test and give update to developer Full time i need on monthly basis and i want to continue working And i dont need Senior tester If you have 1 or 2 year of experiance also good My budget is 10,000 INR to 20,000 INR

I'm seeking an experienced statistics specialist for PHD research to support with rigorous analysis ...comprehensive statistical analysis on scientific research data - Need to convert MS forms results, into several spreadsheet statistics and help with interpretations Ideal Candidate: - Proven experience working with scientific research data - Strong understanding of various statistical methodologies, such as hypothesis testing, regression, and ANOVA - Proficient in data analysis tools and software - Excellent communication skills to present findings to a non-technical audience In your application, please provide details of your previous experience in similar projects. I'm looking for a professional who can not only analyze the data but also provi...

...building a General Regression Neural Network (GRNN)-GA hybrid specifically for prediction modeling. The model will be 15 inputs variables with 5 outputs variables. The ideal candidate should have experience with: - Python: A strong grasp of Python is essential. - Machine Learning & Neural Networks: Experience with machine learning concepts and neural networks, particularly GRNNs, is a huge plus. - Data Analysis: A background in data analysis is highly desirable, as the project involves translating data into predictive models. - Database Integration: Experience in integrating Python applications with existing databases is crucial as the project will entail integrating the GRNN-GA hybrid model with an existing database. Please submit your proposal if you meet these re...

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 hash...

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 have a regression model about the performance of cooperative banks in Europe (France, Spain, and Italy); however, I don’t have a database. Thus, I need an econometrician with a database of cooperative banks in the three countries who is well-versed in R, particularly for regression modeling with a database about cooperative banks in the three countries, to help me apply it and write an article about it. This project requires: - Proficiency in R: An understanding of the software is essential for the regression modeling tasks. - Econometric Expertise: Experience and knowledge of econometric principles, particularly in the field of time series data. - Strong Analytical Skills: The ability to interpret and analyze complex data sets acc...

I am a doctoral student who has conducted mixed method re...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 looking to get this project completed ASAP. Don't hesitate to ask about any details you might need to make an informed bid. Your promptnes...

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 requ...

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

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 interpretat...

...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 direction of these relationships. Your role w...

...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 ability to handle ...

...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 - Experience in working with larg...

This project focuses on creating a Python-based machine learning model with the purpose of analyzing historical stock price 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 accurac...

...language and PowerBi on UFC Fight data. Purpose: The purpose of this project is to find interesting correlations between various aspects of MMA, some of those aspects are; reach, height, fight stance, strike distribution, control time, etc. Then, after correlations are found, make hypotheses to improve a fighter's chance of winning.  Questions: 1 - What is the best fight stance when you have a reach advantage on your opponent? 2 - Can statistics be used to classify fighters into fight styles (Boxer, Muay Thai, Ju-Jitsu, Wrestler, dynamic)? 3 - What kind of correlation can we make by comparing fight style with height and weight, can it be used to optimize training? Tools Needed: PowerBi, R, ggplot Solution Summary: I think answering ...

...goal is 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 creat...

...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 Experience: - Demonstrated experience in perfo...

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