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    14,461 linear regression travaux trouvés au tarif de EUR
    Économétrie S'est terminé left

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

    €80 (Avg Bid)
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    5 offres
    Project for Mohamed A. S'est terminé left

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

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    Project for Zouhali R. S'est terminé left

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

    €189 (Avg Bid)
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    1 offres
    Machine learning exercice S'est terminé left

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

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

    €29 (Avg Bid)
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    ...définition d'un point selle. En revanche, il n'est PAS demandé de connaître par coeur l'écriture des algorithmes vus en cours Apprentissage en ligne - Gradient stochastique - Gradient stochastique proximal Modèles de Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature functions – Inference – Parameter estimation I Improvements and extensions to original CRFs – Regularization &nda...

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

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    1 offres
    Help on exam machine learning S'est terminé left

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

    €286 (Avg Bid)
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    1 offres
    wowza installation et configuration S'est terminé left

    Je souhaite installer et configurer Wowza media server, pour streamer différents flux, pour créer une playlist live stream linear (web tv) et pour ajouter des splash picture pour des flux audio. Cordialement

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    Jupyter Notebook Contents The various sections in the notebook should include code, code comments and appropriate Markup cells describing your approach chosen. In detail, sections should include the following: Introduction and Problem Definition - Textual description providing an overview over the data - A discussion on why this problem is a regression problem - A detailed problem statement question as discussed in Lecture 3. Data Ingestion - Code to load the data into a suitable format to be used in the notebook - A description of the statistical data types for each field in the file Data Preparation You should assume that exploratory data analysis has taken place and the following was concluded: - Missing values are in the ‘temp’ and ‘atemp’ columns. ...

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    ...track of key checkpoints during your analysis. 2. Final Markdown file and knitted HTML output • o Introduction  Background on the project and dataset  State the research question o Data Preparation  Setting up the data (for example, filtering and normalization steps) o Analysis  Labelling the figures (Fig1, Fig2, ect.) will help with referencing figures during the discussion.  Create a linear workflow from your “working” R Markdown file to walk through your analysis.  For example, in the “working” file, you may show tSNE plots where you tried different dimensions or perplexities whereas the final markdown will state “Dimensions of … and perplexities of … were applied, these current parameters best represented the dat...

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    I need python code for output like Nadaraya-Watson Envelope [LUX] indicator () using Nadaraya–Watson kernel regression, I have the inputs as the closing price of the candles, you will write python code for the output as the upper and lower extreme points

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    I need python code for output like Nadaraya-Watson Envelope [LUX] indicator () using Nadaraya–Watson kernel regression, I have the inputs as the closing price of the candles, you will write python code for the output as the upper and lower extreme points

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    I am looking for a research assistant who can support me to do literature collection, review, data collection and analysis. This would require someone with the ability to do some data collection, knowledge of regression techniques, ability to find and collate interesting articles and to discuss with me from time to time. There will no need to do any writing except to serve as a assistant.

    €32 / hr (Avg Bid)
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    deep learning concepts 5 jours left
    VERIFIÉ

    I have a time limited task and looking for experts in neural networks, perceptrons, linear and logistic regression, multilayer networks and back-propagation, deep convolutional neural networks, recurrent networks, transformers, and reinforcement learning.

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    SQL QA Engineer 5 jours left

    As part of a platform development team you will be responsible to develop automated tests. You will do the design and implementation of the testing that will ensure all our services are being developed in the highest quality. Develop tools, framework and infrastructure to improve testing efficiency and quality. Develop automated regression suite, execution, and reporting. Implementation and management of metrics to measure and improve the quality of the software processes, software deliverables and the final software product Mandatory Skills: test automation in Java, Python, C++ or equivalent Desired Skills: Knowledge of non-functional performance testing Familiarity with test management tool (Atlassian package) Experience with DevOps practices and common tools Experi...

    €24 - €47 / hr
    Scellé LDN
    €24 - €47 / hr
    34 offres
    Matlab Linear Programming -- 2 5 jours left
    VERIFIÉ

    We're using CVX in Matlab to solve a network flow problem. I attached the full description of the project. If you can complete, please bid with 'matlab' words. Thanks

    €15 / hr (Avg Bid)
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    Research Assistant -- 2 5 jours left
    VERIFIÉ

    I am looking for a research assistant who can support me to do literature collection, review, data collection and analysis. This would require someone with the ability to do some data collection, knowledge of regression techniques, ability to find and collate interesting articles and to discuss with me from time to time. There will no need to do any writing except to serve as a assistant.

    €28 / hr (Avg Bid)
    LDN
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    59 offres

    I want to implement a paper with all data pre-processing and model building and getting accuracy as mentioned in paper

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    Aerospace dynamics -- 2 4 jours left
    VERIFIÉ

    Angular and linear momentum with energy particle of multi particle system, particle kinematic and kinetics in rotating frames and planar dynamics of rigid body as well as dealing with three dimensions.

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    ...Part 2 (50pts) For this part of the assignment you will perform some data wrangling to construct a multiple layered plot where the x-axis corresponds to the (Julian) day in a given year (January 1st, January 2nd, etc...) for all days excluding February 29th (thus 365 points along the x-axis). The plot will have a ribbon layer (see geom_ribbon) where the lower bound corresponds to the local linear regression prediction (LOESS smoother) of average daily minimum temperatures (in Fahrenheit) on that day for all days from 1930 through 2010 and the upper bound corresponds to the LOESS smoother of the average daily maximum temperature. Another layer will plot the average daily minimum and average daily maximum temperatures for all days from 2011 through 2021. An example of an un...

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    Matlab Linear Programming 4 jours left
    VERIFIÉ

    We're using CVX in Matlab to solve a network flow problem. I attached the full description of the project. If you can complete, please bid with 'matlab' words. Thanks

    €59 (Avg Bid)
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    10 offres
    Abstract Linear Algebra 4 jours left
    VERIFIÉ

    Abstract Linear Algebra questions

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    I have a database of horse racing results I would like regression testing on a whole heap of variables to create a predictive model.

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    Hi Oleh T., i would like to solve linear equations can you help ?

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    Hi, I need summary output in Excel for the given problem and interpretations for the below 6 questions: Problem Statement: A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong. Approach: We are concerned abou...reasons for the decline in viewership. The potential reasons could be: Questions: 1. Decline in the number of people coming to the platform 2. Fewer people watching the video 3.A Decrease in marketing spend? shows, e.g. cricket/ IPL holidays in the story Please find the below link for reference:

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    Predicting the future: Using R studio and Tableau, use Statistical and Analytics tools to forecast what will happen with this sky resorts dataset. Based on the nature of the problem you are solving (i.e., classification vs. regression), build a model on the dataset and assess the stability and accuracy of the model. Instructions of what it is expected on the project are on the R studio File. The Data set to make the predictions can be found here on this: The dataset is attached to this project as skiing hotels. Write a report (max 4 pages) that summarizes your overall process and results. Include some Tableau visualizations using this data set. What to submit: The report in PDF format. Source files for your analysis

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    I need a Python code to calculate the rate of increase of the electrical load using linear regression model. I need this project in 1-2 days in maximum. I will take my decision also based on how fast you could finish this project. I need this simple model on google colab . There is an attached excel file with electrical loads from 2009 till 2021 Please read the following points that are mandatory for the code: 1- I need to calculate the rate of increase of the loads from linear regression mathematical formula , like this example in the attached file ,according to the 10 years data and using linear regression model to calculate the rate of increase is x%.) 2- The code should be clear and easily I can change the input data which are the electrical l...

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    À la une Urgent
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    Hi Nevamal P., This is regarding the project that I had posted on Freelancer and discussed with you regarding the use of ESP8266 to create a drinks mixer. It had two NEMA17 motors and I wanted to replace one with a linear actuator/Servo and wanted to get a board made for that too. I was trying to hide my project from further bids but it got deleted. Would you be able to do that and also create a board for me?

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    World Cup Prediction 2 jours left
    VERIFIÉ

    I need to predict the World Cup winner/finalist using R. I need this by 10pm today. Predict World Cup winner by using simulations, anova, logistic regression, visualizations, random forest, etc

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    Excel and spss 2 jours left

    Good afternoon, I am looking for a person with knowledge in excel and/or spss for data analysis. I am validating a scale of 18 questions in a group of patients with ADHD (3 different types) vs controls, and for this I need calculations of sensitivity, specificity, positive predictive value, negative predictive value, chi square, logistic regression analysis, test of Kaiser-Meyer-Olkin, Bartlett's sphericity test, kappa coefficient, variance for each component (18 items), exploratory factor analysis. The analyzes are not in this exact order, but I have put the ones that are needed. My native language is Spanish but I can also speak English. I attach the database in excel where each row is a person.

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    ...any missing values. Use are free to pick other methods from literature to deal with missing data. Remember that the final data provided to the regression models should not have any missing value. Also, make sure that the variables have the correct type. For example, “station” number doesn’t really have a numerical meaning! Or the date should not be included as a predictor. (b) Split the data into three parts. Based on the “date”, consider the first 60% for training (Train), the next 20% for validation (Valid), and the last 20% for testing (Test). We will not touch the test set until the very end step. (c) Initial Model: Fit a multiple linear regression model on the training data. Use this model to make prediction on the validation set. ...

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    Looking for skills in python and r with experience in plotting, linear models, multivariate statistical analysis, exploratory data analysis, Markov chains, Multidimensional scaling.

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    Hi Tauqeer A., I noticed your profile and would like to offer you my project in Linear Algebra. Is this relevant for you?

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    R Project 2 jours left

    R Project : exploratory data analysis and regression models

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    hi, i need help to build a bartender with a nema17 stepper motor and a Linear guide and 1 servo. i already have a idea of how it should work . i need help to chose the correct components (stepper driver, Arduino or Raspberry pi ect...) you will have to help me choose the right components and help me write the code for the project to move forward. i already have: - arduino uno - raspberry pi 3/4 - linear guide - stepper motor - drivers (TMC2208,DRV8825) I have a preference for the raspberry pi and python Maybe only weekend we will be working on this projet, i'm not in a hurry, the goal is to learn at the same time I speak french and english if you have any questions, do not hesitate to ask questions in private in order to fully understand my needs

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    This task requires the use of linear programming

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    Math Desmos 1 jour left
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    You need to put this picture on Desmos and use linear, quadratic, cubic, exponential, absolute value, rational, circle and "sleeping" parabola

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    I need a Python code to calculate the rate of increase of the electrical load using linear regression model. I need this project in 2-3 days in maximum. I will take my decision also based on how fast you could finish this project. I need this simple model on google colab . There is an attached excel file with electrical loads from 2009 till 2021 Please read the following points that are mandatory for the code: 1- I need to calculate the rate of increase of the loads from linear regression mathematical formula , like this example according to the 10 years data and using linear regression model the rate of increase is x%. 2- The code should be clear and easily I can change the input data which are the electrical load MW, and the program calculate th...

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    Urgent
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    Algorithm for Data Science 22 heures left
    VERIFIÉ

    Help me solve Alogirthm & stats questions including kNN Regression Forecasting Gaus

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    This is a Linear programming and the Simplex algorithm task, it's short and it all analysis must be done on Excel.

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    Need to write an empirical essay and to run OLS estimation on regression of two variables and analysis the findings.

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    Regression model -- 2 Conclusion left

    I've a mini dataset as of now and I want to train the model accordingly. I want to use Linear Regression Model.

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    Regression model Conclusion left
    VERIFIÉ

    I've a mini dataset as of now and I want to train the model accordingly. I want to use Linear Regression Model.

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    PYTHON ASSISTANCE S'est terminé left

    logistic regression Discriminant Analysis Linear Regression in python

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    Data set: the NWPU aerial data set contains 45 categories of 700 images for each category in 256x256 RGB format. The data set can be downloaded from: Figure 1. Examples of the images and labels More details of the dataset can be found at: For the project, the data set should...tures, kds, ncs) .... (2) Subspace Transfer Learning(60pts), for the FV features in step 1), compute its PCA and plot its eigen values, choose appropriate PCA low dimension embedding, and apply LDA and LPP learning, and plot 45-class confusion map with L1O SVM classification: (3) Transfer learning with MLP [50pts]: for all 4 FVs with different kd x nc combination, design a MLP network (dense linear projection) to aggregate them with softMax loss, and show final accuracy and confusion map. Hint: a suggested...

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    Hi Volodymyr, I hope you're doing great. I was browsing freelancer for someone with knowledge on R programming and simulations, and your profile caught my eye. Specifically, I believe I need help with a path analysis for a non-linear relationship (in SEM) and and additional Monte Carlo Simulation. I was wondering you are still doing work on freelancer, if you would be free for me to give you more details on my project. I would look forward to a potential collaboration. Many thanks, Andreea

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    confidence intervals from XGBoost S'est terminé left

    I need a a piece of code for xgboost to calculate either a confidence score of the prediction or a confidence interval/range on regression predictions.

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    Need econometrics project S'est terminé left

    Please read carefully before messaging Econometrics Regression e views

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    Meilleurs articles de la communauté linear regression