Regression dataemplois

Personne compétente pour expliquer le modèle de regression simple et multiple, propriétés de l’estimateur MCO, test de Fischer, variables binaires et modèle logit/probit, GRETL

Hi Mohamed A., comment allez-vous ? Je suis à la recherche d'un/e expert/e en économétrie et STATA pour m'aider à effectuer des exercices dans le cadre de ma formation universitaire. Etes-vous à l'aise avec les notions suivantes: OLS Regression / Instrumental variables / Regression Discontinuity Designs / Difference-in-Difference / Synthetic Control / Propensity Score Matching ?

Hello Zouhali R., comment allez-vous ? Je suis à la recherche d'un/e expert/e en économétrie et STATA pour m'aider à effectuer des exercices dans le cadre de ma formation universitaire. Etes-vous à l'aise avec les notions suivantes: OLS Regression / Instrumental variables / Regression Discontinuity Designs / Difference-in-Difference / Synthetic Control / Propensity Score Matching ?

...UCI machine learning repository : , et en réaliser l'analyse. On demande: un travail de clustering et un autre de classification, la comparaison de diverses méthodes, l'utilisation de plusieurs métriques, l'utilisation de techniques de réduction de dimension, l'écriture d'un notebook détaillé, incluant ce qui précède, à m'envoyer à la fin du module REGRESSION : Les données se trouvent sur : soit hebdomadaire : soit mensuelles : Il vous est demandé de comprendre l'influence des variables explicatives (météorologie, etc.) sur les variables à prédire, puis de mettre en place un outil de prédiction du nombre

...UCI machine learning repository : , et en réaliser l'analyse. On demande: un travail de clustering et un autre de classification, la comparaison de diverses méthodes, l'utilisation de plusieurs métriques, l'utilisation de techniques de réduction de dimension, l'écriture d'un notebook détaillé, incluant ce qui précède, à m'envoyer à la fin du module. REGRESSION : Les données se trouvent sur : soit hebdomadaire : soit mensuelles : Il vous est demandé de comprendre l'influence des variables explicatives (météorologie, etc.) sur les variables à prédire, puis de mettre en place un outil de prédiction du nombre

...selle. En revanche, il n'est PAS demandé de connaître par coeur l'écriture des algorithmes vus en cours Apprentissage en ligne - Gradient stochastique - Gradient stochastique proximal Modèles de Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature functions – Inference – Parameter estimation I Improvements and extensions to original CRFs – Regularization – Hidden-state CRF model ...

...selle. En revanche, il n'est PAS demandé de connaître par coeur l'écriture des algorithmes vus en cours Apprentissage en ligne - Gradient stochastique - Gradient stochastique proximal Modèles de Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature functions – Inference – Parameter estimation I Improvements and extensions to original CRFs – Regularization – Hidden-state CRF model ...

...selle. En revanche, il n'est PAS demandé de connaître par coeur l'écriture des algorithmes vus en cours Apprentissage en ligne - Gradient stochastique - Gradient stochastique proximal Modèles de Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature functions – Inference – Parameter estimation I Improvements and extensions to original CRFs – Regularization – Hidden-state CRF model ...

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 ...

I need a skilled statistician with expertise specifically in SPSS data analysis in the field of 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 relations...

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 ...

...cross-sectional 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 backgrou...

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 ...

I'm in need of a statistical analyst proficient in Factor Analysis, Logistic Regression, and Mediation. The project involves analyzing data to identify underlying factors, predict outcomes, and assess mediation. Ideal Skills & Experience: - Proficiency in Factor Analysis, Logistic Regression, and Mediation is a must. - Experience in analyzing different types of data (e.g., survey responses, sales data, experimental data) is preferred. - Familiarity with handling datasets of varying sizes. Please note that the questions regarding data specifics and sample size were skipped, so I'll provide these details once we're in touch. The project is time sensitive, so a quick turnaround is appreciated. Thank you.

...involving water clarity. The primary 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 cre...

...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 Experience: - Demonstrated experience in performing similar migration...

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

...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 and Experience: - Demonstrated experience in perfor...

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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.

...need to collect and process data, then train and evaluate at least two machine learning models and lastly deploy them to a website. Please see below for further details: > Python (or a python package) is to be used everywhere it possibly can! **Data Collection** Data can be collected (legally) from anywhere. You may use data that you already have; or from sites that allow you to download the data, for example, [UCI Machine Learning Repository]() or [Kaggle Datasets](); or via web scraping; or via an API. We can restrict ourselves to data that would fit nicely into a spreadsheet. The content and amount of data are not the main consideration, as long as the data has: - at least 10 variables - three or more data types - 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, e...

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.

...relationship between meeting Scottish dietary goals and mental health scores, using data from the Scottish Health Survey. I need this critical project completed within 3 days, demanding your ability to work efficiently without compromising quality. Key Tasks: - Conduct a thorough analysis of the given data - Determine whether 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 An...

I am looking for a 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...

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 wi...

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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, pleas...

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...

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 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 datasets with <5 independent variables.

...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 percentiles to be done after tr...

...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 Experience: - Demonstrated experience in performing similar migration...

...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...

...to retrieve and implement financial data. - Deep understanding and familiarity with financial indicators, particularly with HPI (Housing Price Index), GDP (Gross Domestic Product), IR (Interest Rates), FDI (Foreign Direct Investment), CPI (Consumer Price Index) and REER (Real Effective Exchange Rate). - Advanced statistical analysis of retrieved data. - 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 V...

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 challen...

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...

Looking for an experienced Python coder who can assist me 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 st...

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.

I'm in urgent need of a data analyst proficient in using R Studio for a data analysis and modeling 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&...

...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.

For my project, I require the expert knowledge...require the expert knowledge of an Econometrics professional who is adept at operating the STATA software. The primary task centers on the analysis of cross-sectional data. This endeavor will necessitate the utilisation of descriptive statistics. It would favor the project greatly if the chosen freelancer has experience in executing similar tasks and possesses a firm understanding of hypothesis testing and regression analysis. Skills and Experience: - Proficient in Econometrics - Expert user of STATA - Strong experience in data analysis - Solid background in descriptive statistics - Familiarity with cross-sectional data analysis. A freelancer who exhibits these skills and has a history of efficient task co...

Seeking an experienced manual testing expert to perform comprehensive testing on my application. This assignment involves: 1. Functional testing: Checking the application's functionality to maintain overall smooth operation. 2. Regression testing: Ensuring software changes don't disrupt existing functionalities. 3. User acceptance testing: Assessing the software's practicality and its user-friendliness. Scope of work would entail full application testing, and your role will also comprise creating detailed test cases. Ideal candidate should possess lustrous skills in formulating test cases, full application testing, and managing varying types of testing. Previous experience in a similar role is a definite plus.