Eviews poisson regression işler

...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...

As a PhD candidate, I'm in need of a skilled freelancer to assist with analyzing my quantitative data. Here's what you need to know: - Objective: The primary goal of this task is to generate insights and recommendations from my data. - Data Type: The project involves rigorous examination of quantitative data collected through my research. - Analysis Technique: Descriptive analysis is the ...be conducted using contingency tables and a chi-test for any significant variable associated with the implementation of psychotherapy by MHN, and a p-value of 0.05 will be considered statistically significant. Independent variables significantly linked with factors influencing the implementation of psychotherapy by the MHN in the bivariate analysis will undergo additional analysis using logi...

...statistical analysis, particularly logistic regression and the understanding of odd ratios. The tasks for this project include: - Carrying out a thorough logistic regression analysis. You should have a deep understanding of logistic regression as a predictive analysis tool and an ability to calculate and interpret the odds ratio. - Using SPSS software for all computations and analyses. Thus, proficiency in SPSS is mandatory. Being able to flawlessly navigate this software will be a key determinant of your success in this project. - Effectively interpreting and explaining the outcomes of the logistic regression analysis. After carrying out the analysis, you will be required to provide a comprehensive, yet clear explanation of the logistic regression ...

I'm seeking the assistance of a skilled data analyst for the interpretation of some numerical data. This project will largely involve the employment of statistical analysis techniques with specific focus on regression analysis. Key Responsibilities: • Interpret numerical data • Perform rigorous statistical analysis • Implement regression analysis techniques The ideal candidate for this task will have exceptional skills in statistical analysis, strong expertise in regression analysis and a profound understanding of numerical data interpretation. Proficiency in software programs such as SPSS, Excel, R, and other statistical analysis tools is a definite plus. Prior experience tackling similar data analysis projects is highly valued and will be a ma...

...mobile device testing, particularly with Android and iOS platforms. Additionally, proficiency in tools such as Selenium, Appium, Bamboo, and Sourcetree is essential for success in this role. Responsibilities: Develop and execute comprehensive test plans and test cases for mobile applications. Design and implement automated tests using Java scripting to ensure efficient testing processes. Conduct regression testing, performance testing, and compatibility testing on various mobile devices. Collaborate closely with software developers to identify and resolve defects in a timely manner. Utilize tools such as Selenium, Appium, Bamboo, Sourcetree, Xcode, GitHub, and Jira to enhance testing capabilities. Participate in Agile development processes, including sprint planning, daily stan...

...metrics - Excellent analytical and problem-solving abilities - Previous experience in the retail sector will be a bonus Need the help to solve the below 2 problems: Problem 1: Linear Regression You are a part of an investment firm and your work is to do research about these 759 firms. You are provided with the dataset containing the sales and other attributes of these 759 firms. Predict the sales of these firms on the bases of the details given in the dataset so as to help your company in investing consciously. Also, provide them with 5 attributes that are most important. Problem 2: Logistic Regression and Linear Discriminant Analysis You are hired by the Government to do an analysis of car crashes. You are provided details of car crashes, among which some people sur...

...system. This will be discussed further once the project commences. Ideal Skills: - Proficiency in both machine learning and deep learning - Ability to create original algorithms - Experience with dataset management - Extensive knowledge of fraud detection The main idea of my project is to combine machine learning techniques like Random Forest, Decision Trees, Support Vector Machines, Logistic Regression, K-Nearest Neighbors, XGBClassifier, CatBoostClassifier, and others. It also needs to include deep learning methods like Convolutional Neural Networks, Long Short-Term Memory, Bidirectional LSTM, DCN, ANN, RGU, GNN, and more. Whilst the project's specific focus was not determined, a successful candidate would ideally balance conceptual development and practical implementat...

...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. Objectives: 1. Sample Selection Corrected Conditional Quantile Regression & Decompositions: - Evaluate the impact of various employee characteristics on their wages across different employment types, employing sample selection correction for conditional quantile regression. - Decompose the gender wage gap using a Sample Selection Adjusted conditional quantile regression with Melly's Machado-Mata Decomposition. 2. Unconditional Quantile Regression...

I'm in need of a well-designed automated system, tailored to perform advanced predictive statistical analysis within Excel. Key Details: - The system must be capable of executing regression analysis. This is the main method needed for this task. - This tool must have a robust, user-friendly interface and be built to accurately forecast future data based on existing datasets. Ideal Skills: - Advanced Excel skills, specifically with automated systems & statistics - Proficient in creating and employing regression analysis in data forecasting - Ability to simplify complex systems for end user usage Experience: Professional experience in statistical analysis and Excel automation is crucial. Proven track record in similar projects will be an added advantage.

...econometrics and statistical regression modeling using R or STATA software who can conduct a thorough analysis of my given dataset by applying different types of quantile regression modelling and decomposition analysis to a secondary dataset of employees and their wages. The work to be done is mainly by following the research methodologies outlined in some research papers, which I will be providing myself. The objectives of the study are as follows: 1.) Determine the impact of various characteristics of workers on their wage in the different type of employment using “sample selection correction for conditional quantile regression” and then decompose the gender wage gap (between males and females) with a Sample Selection Adjusted conditional quantile ...

I offer expertise in comprehensive Data Science analysis, utilizing diverse methodologies including Descriptive, Inferential, and Predictive techniques. Proficient in Regression, Cluster, and Time Series Analysis, I'll unearth valuable insights to drive informed strategies and future predictions for your project's success.

...thorough analysis of my given dataset - Apply analytical methodologies as deemed appropriate to derive meaningful insights. Following skills and experience would be ideal: - A solid background in Data Science - Experience in various data analysis types including Descriptive, Inferential, and Predictive analysis - Ability to choose and apply relevant statistical techniques or models such as Regression Analysis, Cluster Analysis, or Time series Analysis based on the data set and project requirements - Strong skills in identifying patterns, trends, making data-driven decisions, or predicting future outcomes The main objective of the project is quite broad as we aim to uncover any useful information that the data set may hold, which could assist in formulating strategies, making d...

I'm looking to connect with a skilled professional who has a rich experience in creating Machine Learning models, specifically in the realm of numerical data. Although the pr...primary task involves the development of a Machine Learning model for predictions, a proficiency in integrating gpt 4 with Raspberry Pi is definitely a plus. This project encompasses: - Development of a machine learning model handling numerical data. - Application of principles of random forest / multiple regression models. An ideal candidate would: - Posses a deep understanding of supervised learning. - Have prior experience in implementing random forest and multiple regression techniques. Looking forward to collaborate with someone who can deliver a precise and efficient model that ...

I need an expert fluent in Stata to perform a comprehensive linear regression analysis for my project. Professionals in this area will be manipulating between two to five independent variables. The scope includes: 1. Identifying trends and patterns 2. Analyzing variable impact 3. Building data models Ideal skills would be: • Proficient in Stata • Strong experience in linear regression analysis • Understanding of multi-variable dynamics

...32 distinct icons designed with explanations bellow. Ideal skills: - Proven experience in icon design, specifically line icons - Web design experience would be a plus to understand the context where the icons will be used. - Skills in Adobe Illustrator as we need it in vector format and The titles in (brackets) are for explanation only and no icon is required for them. (Quality Assurance) Regression Testing Acceptance Testing Interface Testing Integration Testing System Testing Exploratory Testing Non-Functional Testing Functional Testing (IT & Business Consulting) Wireframes and Mockups​ Clickable Prototypes​ Rapid Software Prototyping​ Pilot Project Development​ (Web Development) Custom Web Development Enterprise Web Solutions Web Design and User Experience Web Maint...

I'm urgently in need of assistance with the development of a machine learning model using Python and Spark. Key tas...with the development of a machine learning model using Python and Spark. Key tasks and responsibilities will involve: - Understanding the project requirements and preparing a workflow. - Building efficient machine learning algorithms for model development. The specific type of model isn't determined yet, so it's critical for you to have broad expertise in different ML models – classification, regression, clustering and more. The ideal candidate should possess strong skills in Python and Apache Spark, with a rich experience in machine learning. An ability to deliver high-quality work under tight deadlines is also vital. Please reach out if thi...

...an exceptional BTC/USDT trading Algorithm developer with expertise in Java, Python, and JavaScript. Profound knowledge in machine learning and deep learning will be advantageous. You will be responsible for the development of a unique software that mirrors the vision of our project. Key Responsibilities *Time series models like ARIMA ,STL , LSTM networks etc. * Machine learning models like regression models, decision trees, random forests, support vector machines etc. *Deep learning models, such as recurrent neural networks and convolutional neural networks etc. *Reinforcement learning techniques, such as Q-learning or deep reinforcement learning etc. *Technical analysis using various indicators or combinations of indicators to generate noise free, statistically sound, alpha p...

...on intermediate statistical analysis, particularly correlation and regression studies. My data is ready; it just needs the professional touch of someone to dig deep and provide meaningful insights through advanced Excel functionalities. **What I Need:** - Application of correlation and regression analyses to my dataset. - Creation and interpretation of results in a user-friendly manner. - Recommendations on data trends and predictions based on the analysis. **Ideal Skills and Experience:** - Deep understanding of Excel's data analysis toolkit, including pivot tables and advanced formula writing. - Proven experience with statistical analysis within Excel, particularly in applying and interpreting correlation and regression analyses. - Ability to convey complex...

I have done the majority of the code and need final bits done. I'm in need of a freelancer with solid experience in statistical analysis, specifically focused on hypothesis testing and regression analysis. This project requires analysis of 5-10 variables, indicating a nuanced understanding of how these variables interact. The analysis needs to be conducted in Stata, so proficiency in this software is non-negotiable. **Ideal Skills and Experience:** - Proficient in Stata - Experienced in hypothesis testing - Skilled in regression analysis involving 5-10 variables - Strong analytical and problem-solving skills - Ability to interpret data and provide meaningful conclusions - Excellent communication skills to explain complex statistical concepts in understandable terms The...

Hi, I have a python script that does symbolic regression. the script saves a PKL file each iteration of the main loop. there is a bug that stops the execution of the program for some reason (a bug). deliverables: 1. fix the bug in the script. 2. explain what you did.

I require a skilled freelancer to perform a comprehensive statistical analysis on an experimental dataset using Excel. Your focus will be on these tasks: - Descriptive statistics - Regression analysis - Hypothesis testing Given the complexity and specifics of the data, previous experience with experimental datasets is a definite advantage. Mastery of Excel functions for statistical analysis and strong mathematical reasoning capabilities are highly desirable for the successful completion of the project.

...Artificial Intelligence, specifically with a profound understanding of regression models. The ideal candidate will possess expert-level knowledge and experience in AI, capable of crafting detailed and insightful research papers aimed at data scientists, enhancing both theoretical understanding and practical application. **Responsibilities:** - Conducting in-depth research on regression models in AI. - Writing comprehensive research papers tailored for a data scientist audience. - Incorporating the latest findings and technological advancements in the field. - Adhering to scientific accuracy and technical precision in explanations. **Skills and Experience Required:** - Expert knowledge in Artificial Intelligence, especially regression models. - Proven experience in...

...will be primarily on descriptive statistics and regression analysis. ### Key Analysis Tasks: - **Descriptive Statistics**: Summarizing and describing the essential features of the data to provide a simple overview. - **Regression Analysis**: Establishing the relationship between dependent and independent variables, aiming to predict outcomes effectively. Although the specific variables for bar graph visualization were not determined, I'm eager to work alongside the chosen freelancer to identify the most meaningful ones as we progress. ### Ideal Skills and Experience: - Proficient in SPSS 27, with a solid grasp of its various analytical tools. - Strong background in statistical analysis, particularly in descriptive statistics and regression analysis. - Abilit...

Do zrealizowania dwa projekty z moimi własnymi bazami danych w KNIME: 1. KNIME REGRESJA LINIOWA Zbuduj model regresji liniowej dla danych AmesHousing. Wypróbuj różne kombinacje predyktorów (zmienych niezależnych) i znajdź taką, która daje najlepsze R2 adjusted. Przep...najlepsze R2 adjusted. Przeprowadź kilka prób dla różnych podziałów danych na zbiór treningowy i testowy i zapisuj wyniki w pliku excela (wyjściem węzła Numeric Scorer ma być Excel writer). Sprawdź jak wynik się zmieni jeśli zastosujemy węzeł regresji wielomianowej. KLASYFIKACJA Zbuduj Knime workflow, który zastosuje do danych ClevelandHeartData następujące klasyfikatory: Logistic regression Decision tree Random forest Tree ensemble learner Naive...

hi, I have a symbolic regression code written in python. the fitness is defined in the code as mean_absolute_error (I dont understand the code. I only know the location in the script where it is done - line 511 of ). I need to change it to (y_calculated/y_given-1). deliverables: 1. the modified python code. 2. explain what you did. Thanks

As the client of this proje...winner of IPL matches. The predictor should be built on simplicity and recent past performances. Key requirements for this job: - Python Programming: The freelancer needs to be an experienced Python programmer. - Data Analysis: You should have strong capabilities in data analysis since any relevant dataset can be used. - Machine Learning: Knowledge in concepts such as supervised learning or regression could be beneficial in making predictions. - Understanding of Cricket/IPL: Having a strong understanding of cricket and specifically about IPL matches will be a significant plus as it will help in better comprehension of data. If you have the relevant skills, I am excited to see the innovative solutions you can bring to this project. Let's predi...

...handle quantitative, cross-sectional data - Exceptional analytical skills to interpret data results accurately - Capacity to deliver a comprehensive report of the analysis, including interpretations and actionable insights **Ideal Skills and Experience:** - Background in statistics or a related field - Previous projects involving hypothesis testing - Understanding of descriptive statistics and regression analysis is a plus - Excellent communication skills for explaining complex statistical concepts in a clear manner The project's success hinges on the insightful interpretation of data, requiring the freelancer to not only analyze but also provide meaningful conclusions and recommendations based on the outcomes of the hypothesis tests. If you have a strong track record wit...

...diverse range of regression analysis capabilities and pre-processing methods. This tool should provide an intuitive GUI that can handle CSV and Excel data inputs. The program essentially fit a quadratic equation , a hyperplane using multiple input variables to one output using the GA with r2 maximization. Key requirements include: 1. Data Loading & Preprocessing: - The program should be capable of cleaning and normalizing data upon loading, ensuring their readiness for further analysis. 2. Feature Selection: - A genetic algorithm should be part of the feature selection process. 3. Regression Model Fitting & Comparison: - The program must possess the ability to fit, evaluate, and compare the following regression models based on R² valu...