Eviews poisson regression trabalhos

Tasked with executing a fundamental logistic regression analysis, I'm specifically looking to assess probabilities of events. Armed with a ready-to-use dataset, the perfect freelancer for this project should execute this without requiring any data cleaning or preprocessing. The skill sets and experiences expected for this project include: - Profound knowledge and expertise in R language - Significantly experienced with logistic regression techniques - Proven analytical and problem-solving skills - Strong data interpretation abilities. - Prior experience in similar statistical analysis projects will be an added advantage. Your role will be to: - Execute a clean logistic regression using the provided dataset - Determine the probability of an event occurring. A ...

For my master's thesis, I would like to get some help with my data-analysis. I have performed experiments on understorey herbs. I'm seeking for a professional data-analyst who can perform, among other things, a statistical analysis using Anova-tests, linear mixed-effect models, Pearson-correlation-analysis and stepwiste multiple regression and write a 10 pages results part about it. Contact me for further information. Furthermore, I would love some help to put my word document in Overleaf and with my citations as well.

...Here's what I need: - Application of regression analysis, specifically multiple linear regression, to analyze my project data in R Studio. - I already have a specified regression model to be implemented. Your role will be to accurately apply this model to my specified set of data. - Prior experience with quantitative data analysis, notably with dissertation-level data, would be ideal. An understanding of psychology-related terminology and constructs will be highly beneficial. - The freelancer should possess strong analytical and problem-solving skills, ability to work independently, attention to detail and high proficiency in R Studio. This job requires excellent communication skills to ensure I clearly comprehend the application and outcomes of the regr...

I am in need of a statistical analyst proficient in using R Studio for numeric data manipulation. My project involves: - Data Visualization: Transforming the numeric data into a visual format that ca...project involves: - Data Visualization: Transforming the numeric data into a visual format that can effectively communicate the underlying trends and patterns. A skillful understanding of creating interactive plots and dashboards would be a bonus. - Statistical Analysis: Applying appropriate statistical methods to the numeric data to draw conclusions and support decision making. Experience with regression analysis is preferable. This project calls for an expert with a good understanding of R Studio, data visualization and statistical analysis. Experience working with numeric data...

I need a skilled data analyst who can competently carry out a range of analyses on my data set. Specifically, your tasks will include: - Descriptive analysis, to provide an understanding of the basic features of the data - Inferential analysis, to draw conclusions beyond the immediate data - Predictive analysis, with the main goal of making predictions and forecasts R programming software is the preferred tool for this job, so skills in this area are a must. Ideally, the freelancer should have extensive experience in working with statistical analysis and forecasting tasks. The outcome of this project aims to bring meaningful insights from the data and accurate forecasts. Your analytical talent will be pivotal in enhancing the utility of this data.

...and analyst who will work on my compiled inventory, customer, sales, and financial data. I aim to provide our customers with valuable market data to position themselves. Key responsibilities will include: 1. **Predictive Analytics**: Utilize machine learning algorithms to forecast future sales based on historical data, market trends, seasonality, and other relevant factors. Techniques such as regression analysis, time series forecasting, and ensemble methods can help you predict sales with greater accuracy. 2. **Customer Segmentation**: Apply clustering algorithms such as K-means clustering or hierarchical clustering to segment customers based on purchasing behavior, demographics, or other characteristics. This allows you to identify distinct customer segments and tailor marke...

...performing descriptive statistics and correlation tables, along with two linear regressions using Excel. I aim to identify trends and patterns that will help in improving operational efficiency and bolstering data-driven decisions. • The project involves analysis of data sourced from a Spreadsheet/Excel file. • The ideal freelancer should be skilled in Excel, descriptive statistics, linear regression and data interpretation. • The purpose of the research is not just to understand the current state of affairs but to make strategic decisions for the future. • A background in market research will be beneficial for the project. Your task will be to provide me with a comprehensive report detailing your findings, highlighting key trends, patterns and action...

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

...in a variety of ways: - Through informative graphs and charts - Interactive maps showing tourist hotspots - Heatmaps to display density of tourism activity - Using regression analysis and time series models The ultimate aim of this project is to identify which regions are worth for opening new store based on the analytical trends and patterns that can provide insights into Thailand’s tourism sector. Ideal skills for this job would be data analytics, proficiency in data visualization tools, and previous experience in the tourism industry, these skills will be highly valued. Also, statistical knowledge especially in regression analysis and time series model will greatly benefit the project outcome....

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

We are seeking a freelancer with expertise in the Finite Element Method (FEM) and semiconductor physics to assist with solving a set of semiconductor transport equations for a MOS-transistor simulation, provided in German. The project entails discretizing the Poisson equation and the continuity equations for electron and hole charge carriers, applying appropriate boundary conditions, and solving the resulting nonlinear system of equations. Objectives: Discretization of Equations: Employ FEM to discretize the Poisson equation and the electron and hole continuity equations for a 2D MOS-transistor model, as described in a German-language exercise sheet. Boundary Conditions: Implement Dirichlet and Neumann boundary conditions in alignment with the semiconductor device geometry ...

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

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

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

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

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

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

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

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

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

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

I'm looking for a professional with a solid background in statistical analytics and urban planning, specifically in the transportation sector. For my project, I require assistance with various aspects of statistical analytics, particularly: - Principle Component Analysis - Ordinal Logistic Regression - Interaction Terms I need to focus on visualizing customer satisfaction with public transit. The main measurement tool for customer satisfaction that we will use in this project will be through customer surveys. It is essential for the freelancer to have: - Proven experience in statistical analytics. - Expertise in data visualization and predictive modeling. - Good knowledge of urban public transit systems. - Experience in customer survey analysis. - Mechanisms for visualizing...

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

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

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

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

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

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

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

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