Linear regression equationproiecte

Vreau sa fac un program de oferte pentru mobilier. Acesta trebuie sa contina mai multe campuri cum ar fi dimensiuni(metru linear), tip de fronturi (frezate si vopsite, PAL etc. ) feronerie samd. Programul trebuie sa genereze oferta in format PDF si sa tina un record pentru numarul de oferte emise.

Am nevoie ca documentul din atasament sa fie tradus din romana in engleza. Traducerea trebuie sa fie in World si formulele transcrise cu "Equation" Traducerea trebuie sa fie corecta din punct de vedere tehnic. (Nu este pentru amatori)

...measures in the pandas package; - group functions; - treatment of missing values; - deleting columns and records; - statistical processing, grouping and aggregation of data in the pandas package; - processing of data sets with joining / joining; - graphic representation of the after with the matplotlib package; - use of the scikit-learning package (clustering, logistic regression); - static packet models (multiple regression)....

2 exercises with compress/decompress and regression/classification

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I'm in need of a skilled data analyst to conduct a thorough regression analysis using panel data in R. The primary goal is to understand the impact of one variable on another within a dataset that includes between 6-10 variables. Key Project Requirements: - Utilize panel data: Experience in handling panel data is a must for this project. The ability to understand the nuances of this data type will be crucial for accurate analysis. - Regression Analysis: In-depth knowledge of regression analysis is required, especially in the context of panel data. The ability to extract meaningful insights and estimate the impact of one variable on another is the core task. - Data Interpretation: The successful freelancer will be able to provide clear, concise interpretations of...

...DNA database. b. Identify any conditional aspects of the process, for example if there are any stages of the process where resources only become available once the previous sample has been processed. c. Second, write out the relevant equations associated with each step of the process, and construct a formula for the overall time in system. d. Use relevant notation and write out equations using Equation Editor in Word. e. Note – the rule of thumb is that any reader can pick up your report and replicate your results by following the methods. 2. Use mean values of each parameter to construct an “average” solution. a. Unit of interest – a DNA sample collected by a CSI. That is, each sample must be modelled individually. b. Assume both CSI and forensics lab op...

...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 relationships or differences between variables. - Additionally, a correlation analysis is needed to understand the strength and...

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 Management and Analysis Your abili...

I am seeking an experienced, intermediate-level tutor who can assist me with understanding and mastering linear differential equations and elementary differential equations. Key Requirements: - An in-depth understanding of linear differential equations and elementary differential equations. - Ability to explain complex concepts in a simple and understandable manner. - Patience and ability to adapt teaching style to the student's needs. I prefer to receive tutoring through online sessions. Ideal Skills and Experience: - Proven experience in tutoring differential equations, especially linear and elementary ones. - Good understanding of the principles and applications of these concepts. - Strong ability to teach effectively in an online setting, ensuring clear ...

...understanding of Finite Mathematics, to assist me with my course work. The specific topic focus I require guidance on, has been left open to include Sets and Counting, Probability, and/or Linear Equations, depending on the freelancer's area of expertise. Ideal Skills Include: - Understanding of various Finite Mathematics topics - Proven tutoring skills - Experience with teaching or tutoring in these areas - Ability to explain complex mathematical concepts in a simplified manner Please include in your proposal: - An outline of your experience with Finite Mathematics particularly in Sets and Counting, Probability, and/or Linear Equations. - Your teaching methodology - Your availability and proposed schedule This is a great opportunity for Math tutors looking to expan...

I'm in need of an individual with advanced expertise in Linear Algebra and R programming. Your critical role will encompass: - Solving complex linear equations - Matrix manipulations - Implementing statistical analysis Skills and experience sought: - In-depth knowledge and experience in Linear Algebra and R programming. - Proven ability in solving complex equations and matrix manipulation. - Experience in statistical analysis using R. - Dear skill and background in integrating R programs with other software. The specialist I'm seeking should be able to critically solve problems and integrate solutions with existing software. Ultimately, the aim is to achieve efficient results through advanced linear algebra and R programming.

I am currently in dire need of an experienced and highly qualified tutor for my university level linear algebra course. - Key Needs: Your assistance will be pivotal in not only helping me understand theoretical concepts but also in solving problems. We'll focus primarily on matrix theory, eigenvectors, eigenvalues and discerning whether vectors are linearly dependent or not. - Responsibilities: Be prepared to break down complex topics, explain them in a simple and understandable manner, and provide help in solving related problems. - Ideal Skills: Successful candidates should possess a deep understanding of linear algebra with a special focus on the above-mentioned topics. Previous tutoring experience or teaching experience at a college level would be highly beneficia...

I'm in need of a specialist in Linear Algebra and R programming. Your role will entail solving complex linear equations, matrix manipulation, and statistical analysis. Given this is R programming related, a strong technical understanding and experience in this area is non-negotiable. You should primarily possess the following attributes: - Proficient in Linear Algebra and R programming - Solid proficiency in executing statistical analysis in R For an application to be considered, it should contain a comprehensive project proposal detailing how you intend to approach and solve the tasks. Although experience is essential, a gameplan on how you'd approach these tasks in R coding is more significant. Please note, the resulting work will be for a yet to be di...

...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 background - Proficiency in regression analysis - Ex...

...professional who can perform a detailed Finite Element Method (FEM) analysis on a non-linear structural model using Python. hi, there I have other project to work with its about FEM analysis(python)of the Implement a finite element procedure using 8-node trilinear element for three-dimensional linear elastic solid mechanics problem; Visualize the finite element simulation results for several example problems via the visualization toolkit Paraview; relevant results of the stress calculation , there are three problem parameters to solve. I can provide you detailed instruction and reference work as well if you are interested Key Points: - The project will primarily focus on analyzing stress distribution in a non-linear material setting. - You need to have experience ...

...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 accuracy in the predictive model - Clear presentation of the results, identifying potential investment opportunities Looking forward to working with...

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.

...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 create and implement a system for continual tracking...

I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experi...

I'm a data science student needing assistance specifically in the areas of maths, linear algebra, and probability. Here's what I'm looking for: - Expertise in data analysis, machine learning, and data visualization - Mastery in maths, particularly linear algebra, and probability - Ability to provide advanced assignments and problem-solving strategies to strengthen my grasp of these subjects The ideal candidate for this project will have strong analytical skills and a deep understanding of complex mathematical principles involved in data science. You should be able to articulate complicated concepts concisely and clearly, since the level of difficulty I'm currently faced with is quite advanced. Your role will largely involve providing resources and guidin...

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

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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.

This project is all about extracting insights from survey data. We're seeking to analyze complex relationships between variables. - Data analysis is based on Structural Equation Modelling, using AMOS software. - The provided data type is survey-intense; inside experience with large survey datasets will be a big plus. - Proficiency in AMOS is required; prior usage in a similar project context is ideal. - Objectives include finding connections between our data points and making them comprehensible. - An relevant academic or research background is a definite advantage. The end goal is to generate a transparent analysis that reveals hidden patterns and relationships. If you are a keen analyser with AMOS mastering, we would love to hear from you.

... each dataset should have its own table. Database and table creation and data insertion can be done either with the `sqlite3` package or with `Pandas`. Both SQLite and `sqlite3` come with Python. **Machine Learning Models** For each dataset you should train, evaluate, and save a machine learning model: - one model should be for a *classification* problem - the other model should be for a *regression* problem - Group of 3: you should have 2 of one type A *validation* dataset must be used to either select between models, or to choose between hyperparameter values of a single model. A *test* dataset must be used to evaluate the performance of the final chosen model. **Website** The final models should be presented to an end-user through a website. (Deployment need only be t...

I need a proficient data scientist with a strong understanding of linear regression and time series analysis to build a model from company sales data. Key Requirements: - Creation of a Linear Regression Model: The primary objective of the model will be to predict sales trends based on past data. - Time Series Analysis: The model should effectively incorporate this to help me understand how sales are changing over time. The ideal freelancer for this job would possess: - Proven expertise in data science, particularly in building predictive models. - Strong command of R, as the model should be developed in this language. - Experience in working with time series data and analysis. If you are confident in your data science skills, especially in the context of ...

I have an electrical project that requires specialized MATLAB programming skills. This project aims to optimize a hypothetical renewable power microgrid using linear optimization algorithm cvxr in MATLAB. This initiative responds to the growing need for sustainable and efficient energy solutions in the era of climate change. The focus is on how optimization algorithms can enhance the cost effectiveness, efficiency, and reliability of such microgrids. Please check the attached Word file for more details.

Objectives: To develop a model that predicts housing prices based on various features such as location, size, amenities, etc. Data Set Link: Kaggle: House Prices - Advanced Regression Techniques () Analysis Tools/Programming Language: Python, Pandas, Scikit-learn Final Outcome: A predictive model that accurately estimates housing prices. follow a step-by-step process to create ML models predicting housing prices, create heatmaps of different features to find the most correlated feature and apply several ML models on the dataset, make an evaluation metric comparing the different models based on precision, accuracy, R2 score, etc. and present the result in easy to understand ways. send me all the codes so that it can be

Chemical Regression Analysis of Chemical Molecules to predict the molecules charges.

I am looking to analyze the relationship betwee...adhering to Scottish dietary goals influences mental health scores - The mental health score is calculated via Wembys and GHQ12 in the said survey. Ideal Skills and Experience: - Previous experience with health-related data analysis is an advantage - Strong understanding of different statistical methods. There wasn't a specific preference, but demonstrating capability in Correlation Analysis, Regression Analysis, and/or T-Test Analysis could impact selection chances. This project is not just about crunching numbers but expected to unravel meaningful insights which can bring valuable influence on health and food policies. I look forward to working with passionate, diligent professionals who care about the real-world impact of ...

...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. - Proficie...

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...

As a student needing help with advanced mathematics, I'm looking for a seasoned expert who can provide academic assistance in Algebra, Calculus, and Statistics. Specifically, I need help with: - Algebra: particularly with linear equations and functions and graphs. - Calculus: deep understanding in differentiation and integration required. - Statistics: specifically in the area of probability and data analysis. Ideal candidates should have a strong academic background in these areas, be patient, and be experienced in teaching complex concepts in an understandable way. This opportunity could extend over the course of my study, so reliability and commitment are key.

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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, please share...

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 in need of a proficient MATLAB programmer who can efficiently solve system of two coupled first-order linear differential equations(ODEs) for me. Your responsibilities will include: - Applying your expertise in MATLAB to solve system of two coupled of first-order linear ODEs. - Documenting the entire process in a comprehensive report. This should include a full narrative of explanations and justifications, not merely an overview of the procedures and results. - Adhering strictly to MATLAB coding standards throughout the project. (Questions and Report template is attached below.) The perfect candidate for this assignment will have an extensive background in both mathematics and MATLAB programming, with a deep understanding of ODEs. Proven experience in academic o...

I'm in need of an expert proficient in creating chemical thermodynamics, mathematical model and a corresponding Matlab simulation for ternary systems, focusing on vapor-liquid equilibrium . Key Tasks: - Developing a mathematical model for calculating vapor-liquid equilibrium for a ternary system. - Applying the Patel Teja equation of state to this model. - Creating a corresponding Matlab simulation code for the model. Ideal Candidate: - Proficient chemical engineering and thermodynamics. - Prior experience with creating mathematical models for vapor-liquid equilibrium. - Equipped with advanced skills in Matlab programming. - Able to provide step-by-step explanations for the developed model and code. Please be prepared to share relevant samples of your prior work in this are...

I'm looking for an expert in Python, C# and machine learning, preferably with a background in options trading. The main goal of this project is to blend machine learning with options trading strategies. Key Responsibilities: - Develop machine learning models: I'm aiming for a basic level of complexity, such as linear regression and decision trees. - Code in Python and C#: You should be proficient in both languages, as the software will be primarily in Python, but will also need to interface with C#. Ideal Candidate: - Proficient in Python and C#. - Experience in developing machine learning models, especially in the realm of options trading. - Able to handle the complexity of blending machine learning with trading strategies.

This project seeks a highly qualified professional with extensive experience in econometrics and statistical regression modeling, particularly utilizing STATA software. The project involves a comprehensive analysis of employee wage data using quantile regression and decomposition techniques, both with sample selection adjustments. OBJECTIVE 1.) Determine the impact of various characteristics of workers on their wage in the Sectors (regular and casual separately) using the BEST sample selection adjustment technique along a conditional quantile regression model, and then decompose the gender wage gap (between males and females) with the same sample selection adjustment technique using Melly’s Machado-Mata decomposition for regular and casual separately. 2.) Dete...

For my project, I'm seeking an expert in creating statistical formulas that would convert compiled raw data into a clean, streamlined dashboard. This formula should be able to handle the following: - Data Type: Call volume averages from the past week. - Statistical Concept: The formula should be able to perform a comprehensive regression analysis and probability calculation from the raw data. Ideal candidates should have a solid background in statistics, proficiency in data visualization and analysis, and significant experience with dashboard creation. Knowledge of how these concepts apply to call center data would be a definite plus. Effortless transformation of data into easily digestible information is the key objective here.

The aim of our project is to identify relationships between variables in a given dataset. We'll be utilizing pooled data...aim of our project is to identify relationships between variables in a given dataset. We'll be utilizing pooled data in order to conduct this analysis. If you are experienced in handling such kind of data, it would be optimal. Familiarity with regression concepts and an ability to interpret and manage data sets with less than 5 independent variables is mandatory. Key Responsibilities: - Evaluate and Identify relationships between different variables - Conduct regression analysis on pooled data Ideal Skills: - Strong understanding of regression analysis - Proficient in handling and interpreting pooled data - Experience managing datas...

...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 transforming the data ( Ln and Log10 transformations) so that I can rely on the one with the least skewed distribution ( best gussian distribution). • Finally, I want to compare the data that I got to similar data from a different population on which a similar paper was published using grap...

I'm in need of a Machine Learning Engineer who can migrate our existing notebooks from RStudio and PySpark to AWS Sagemaker. Your task will be to: - Understand two models I have running locally. One is a Rstudio logistic regression model, and the other is a pySpark XGboost also running on local. - Migrate These two models to AWS SAGEMAKER. Data will be on S3 -Prepare models to run on sagemaker totally, so that we can do training and testing 100% on sagemaker.-Models are already running on a local computer, but I need to move them to Sagemaker 100%. Data is on S3 already. -You need to configure and prepare Sagemaker from end to end, and teach me how you did it, since I need to replicate it in another system. -I will give you the data and access to AWS Ideal Skills and Experi...

I am looking for a python programmer who can develop python code to interface with some hardware data acqusition and basic signal processing. Phidgets Device: Basic Functionality: 1. GUI for User 2....processing. Phidgets Device: Basic Functionality: 1. GUI for User 2. Be able to read raw data from 1-4 channels from bridge sensor 3. Be able to set ADC scale, data sampling rate 4. Perform auto zero (take X readings, average it, and subtract it from the values) 5. Calibrate sensor (we apply 3 points of known excitation to sensor, and scale reading to that using linear or polynomial fit) 6. Save raw and scaled data to CSV files You must be able to debug software with the hardware remotely via Team Viewer or remote desktop.