数据科学 Jobs

Data science, which should not be mistaken for information science, is a field of study that uses scientific processes, methods, systems, and algorithms to extract insights and knowledge from various forms of data, be it structured or unstructured. It is similar to data mining and is a conception to unify machine learning, data analysis, statistics, and their related methods so as to analyze and understand the actual facts about data. Data science employs theories and techniques taken from many disciplines such as computer science, information science, statistics, and mathematics.

In a nutshell, data science can be said to be a multidisciplinary blend of algorithm development, data inference, and technology in a way to find solution to analytically complex problems. Data science is useful to anyone who wants to be a data miner.

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    Predict a new testset -- 2 6 天 left
    已验证

    Hi Experts, I have trained a few models, I need you to do the following: 1.) Make live predictions given a new test set. N/B: The new test set does not have the features in the training set. The features were created using preprocessing and feature engineering. 2.) Preprocess the new set to same shape as Xtest (using the existing codes) so you can do (1) above. Budget: $15 Timeline 1hr Codes attached

    $1031 (Avg Bid)
    $1031 平均报价
    5 个竞标
    Predict a new testset 6 天 left
    已验证

    Hi Experts, I have trained a few models, I need you to do the following: 1.) Make live predictions given a new test set. N/B: The new test set does not have the features in the training set. The features were created using preprocessing and feature engineering. 2.) Preprocess the new set to same shape as Xtest (using the existing codes) so you can do (1) above. Budget: $15 Timeline 1hr Codes attached

    $1055 (Avg Bid)
    $1055 平均报价
    4 个竞标
    Data engineer 6 天 left

    Building alignment in an etl from end to end data lob to visualization

    $188 / hr (Avg Bid)
    $188 / hr 平均报价
    5 个竞标

    I am looking for an Expert in data science and business analytics

    $758 (Avg Bid)
    $758 平均报价
    24 个竞标

    Stock Market Multitask - Multi-users iOS App STAGE 1: Price Prediction Based on Previous Days Values ======================================================= Will be an iOS for 5 users. Using historical data from previous dates, from Yahoo Finance, predict the next 5 DAYS Max/Min value of any "Stock Symbol" ("SS"). There will be a list of "SS" of interest for each user. You have to provide predictions for all of them. Samples values for some "SS" of interest are in pictures A, B, C & D. Values shown are Minimum, Maximum & Closing: - USD/MXN - $19.7192 / $19.8690 / $19.8042 Historical values can be found here: - USD/MXN - STAGE 2: Handle yours, and another 5-7 predictions ================================================== Along with yo...

    $5579 (Avg Bid)
    $5579 平均报价
    31 个竞标

    This is a project on big data analytics and Machine learning on cloud. Deadline is on the 18th of December

    $1782 (Avg Bid)
    $1782 平均报价
    31 个竞标

    writing about the relation between number of features and number of instances? Two conclusions can safely be drawn from this study. First, the behavior of the optimal-feature-size relative to the sample size depends strongly on the classifier and the feature-label distribution. An immediate corollary is that one should be wary of rules-of-thumb generalized from specific cases. Second, the performance of a designed classifier can be greatly influenced by the number of features and therefore one should attempt to use a number close to the optimal number. This means that it can be useful to refer to a database of optimal-feature-size curves to choose a feature size, even if this means making a necessarily very coarse approximation of the distribution model from the data—even perhap...

    $203 (Avg Bid)
    $203 平均报价
    6 个竞标

    I need somebody who can help me to build a machine learning model, The project is going to help in practical implementation, So I need somebody who has good knowledge and experience in machine learning.

    $805 (Avg Bid)
    $805 平均报价
    25 个竞标

    - Understand SoftMax Regression - Understand Linear Regression, Logistic Regression Calculations - Neural Network Calculations - KN-MEANS - LogLoss - Decision Trees - Naive Bayes Classification - Evolutionary Computing - Genetic Algorithms - Python Programming and Tensorflow - Convolutional Neural Networks - SoftMax Classifier

    $774 (Avg Bid)
    $774 平均报价
    15 个竞标

    I am building a Siamese Network and need assistance with some few tweaks. This is a small request as most of the development is already done.

    $281 (Avg Bid)
    $281 平均报价
    6 个竞标

    Build A Customer 360 View: Centralizing customer data view Multi-Channel Data Collection. Data ingestion ERP, POS, Loyalty Program, Web Analytics, CRM, Channel Response data, Online behavior and purchase data, Customer Feedback/survey data Normalize data upstream from other sources Integrate customer data from multiple sources via API, WebHook A/B testing capacities to check campaign effectiveness (A vs B) Real time Customer Segmentation Behavioral Segmentation ( Clustering) Micro Segmentation based on rules/lists Propensity Models Lookalike Profiling Cross Sell/ Up Sell Models CLTV Modeling Churn Model Channel Propensity Arabic Support Integrated with Punch KPIs =========================== What Customers Do 1- Who are our Customers ( Customer Attribution )-DB & Number of Custome...

    $156 / hr (Avg Bid)
    $156 / hr 平均报价
    17 个竞标

    Here is a data set, please could you complete the following tasks: • Identify the incorrect or inconsistent data? • Present your findings visually • Explain why you feel the data is incorrect or inconsistent? • Explain how you would go about cleansing the data? • What would you put in place to prevent this data from being incorrect next time? You will be expected to talk through your thought process and present your findings. You will be given 20 minutes to present.

    $672 (Avg Bid)
    $672 平均报价
    15 个竞标
    Data analyst 2 天 left

    Here is a data set, please could you complete the following tasks: • Identify the incorrect or inconsistent data? • Present your findings visually • Explain why you feel the data is incorrect or inconsistent? • Explain how you would go about cleansing the data? • What would you put in place to prevent this data from being incorrect next time? You will be expected to talk through your thought process and present your findings. You will be given 20 minutes to present.

    $1172 (Avg Bid)
    $1172 平均报价
    35 个竞标

    System is setup to upload - working Create heatmap - working Example of ui (Enclosed ) - done Deliver 4 images of similar type based on reverse lookup Error seen File "/home/ec2-user/site/", line 1715, in covercompareresults heatmap = ('.')[0]+'' titles, images = query('/home/ec2-user/site/static/uploads/cover_uploads/'+) print(titles[0][1]) isbn1 = titles[0][1] title1 = titles[0][0]Open an interactive python shell in this frame img1 = images[isbn1] isbn2 = titles[1][1] title2 = titles[1][0] IndexError: list index out of range Architecture setup in AWS for EC2 application and web (Enclosed section of and example code) Architecture setup in resize files and create pickle db for quic...

    $1125 (Avg Bid)
    $1125 平均报价
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    I need someone to evaluate my resume from a technical angle and give an expert opinion based on that or a reference. Someone that has done some great work in cybersecurity or academics would be a great fit. US Applicants needed.

    $1367 (Avg Bid)
    $1367 平均报价
    8 个竞标

    Please redo the analysis chapter by analyzing the attached NVIVO files. . Explain how I coded by using the data or the interview 2. How to decide on the code 3. Coded systematically see certain Partain using code to category? identify themes ? describe how you coded (is it theme coded ) how to decide on the code number of codes? How did I go about coding Why coded that way 4. With the data analysed from Nvivo how did you develop the theory. Step by step and where is the theory developed ? 5. the systematic approach to conduct the framing process results presentation 7. Frames results Also present all references coded 8. Relating the frame results to the participants attributes 9. Participants contributing to the frame perspectives the first frame results to the participants attr...

    $3579 (Avg Bid)
    $3579 平均报价
    17 个竞标

    Implementation Implement the Item-based collaborative filtering algorithm (please do not use any off the-shelf libraries for collaborative filtering, the idea is to implement the algorithm yourself) • Step 1: Use the ratings specified in file to learn similarity between movies. You can use the correlation coefficient (as given in the slides) or cosine similarity to compute the similarity weights. • Step 2: For each row in , predict the rating based on a neighborhood of similar movies. Refer to the slides on collaborative filtering for the equation used to compute the predicted rating. You can select any appropriate neighborhood size when making the prediction.

    $102 / hr (Avg Bid)
    $102 / hr 平均报价
    18 个竞标

    Implementation Implement the Item-based collaborative filtering algorithm (please do not use any off the-shelf libraries for collaborative filtering, the idea is to implement the algorithm yourself) • Step 1: Use the ratings specified in file to learn similarity between movies. You can use the correlation coefficient (as given in the slides) or cosine similarity to compute the similarity weights. • Step 2: For each row in , predict the rating based on a neighborhood of similar movies. Refer to the slides on collaborative filtering for the equation used to compute the predicted rating. You can select any appropriate neighborhood size when making the prediction.

    $1039 (Avg Bid)
    $1039 平均报价
    8 个竞标

    Implementation Implement the Item-based collaborative filtering algorithm (please do not use any off the-shelf libraries for collaborative filtering, the idea is to implement the algorithm yourself) • Step 1: Use the ratings specified in file to learn similarity between movies. You can use the correlation coefficient (as given in the slides) or cosine similarity to compute the similarity weights. • Step 2: For each row in , predict the rating based on a neighborhood of similar movies. Refer to the slides on collaborative filtering for the equation used to compute the predicted rating. You can select any appropriate neighborhood size when making the prediction.

    $195 (Avg Bid)
    $195 平均报价
    3 个竞标

    Using existing functionality of Open AI's GPT-3 API, create human-readable, plain text summaries (each composed of 7-12 bullet sentences) of thousands of reports in markup language (each ~1200 words) which are contained in a large .xml data dump, and install the summaries into a new unpopulated MariaDB on my hosting provider (with one row for each report and one column for each sentence). Non-disclosure agreement, and intellectual property, is required. Thank you for applying, only the selected candidate will receive a response.

    $3462 (Avg Bid)
    保密协议
    $3462 平均报价
    10 个竞标

    On chatting I will tell more about the project

    $1000 (Avg Bid)
    $1000 平均报价
    15 个竞标
    Data Science Project 结束于 left

    *Context Irrespective of whether or not data and images are stored/analyzed in a centralized manner, variability in scanner models, acquisition protocols and reconstruction settings are unavoidable in the current clinical practice. Yet radiomics are notoriously sensitive to such protocol variations. Hence, there is a clear need for the harmonization of features in order to allow consistent findings in radiomics multicenter studies. *Objective The objective of this project is to develop different models to predict failure (endpoint) of the radiomics signature based from MRI, PET and CT scans. *Dataset contains 197 rows and 498 columns: : binary property to predict You can split the dataset as you want to create the training/validation/test datasets *Models You have to deliver three diff...

    $3696 (Avg Bid)
    $3696 平均报价
    21 个竞标

    Requirement file is attached. Please refer to that. we have already done webscraping of data and that is available and some basic modelling is done like kmeans.

    $185 - $2317
    加封
    $185 - $2317
    18 个竞标

    El proyecto es un poco grande, solo para personas serias y con suporte en el futuro ya que se haran modificaciones a la app, consiste en costruir un app de 4 modules -Iniciar secion por medio de usuario y contrasenia -4 modulos principales: Proveedores, Bancos, Gastos y Corte -Cada uno debera guardar datos en objetos para luego ser manipulados con graficas -Contara con una lista de proveedores que tendra una barra buscadora Horas prodedio de trabajo: 7-15hrs para la gente que este dispuesta a trabajar estare contactandolos, ver documento de PPT tiene que darle presentacion (F5) para entender el proyecto

    $3759 (Avg Bid)
    $3759 平均报价
    6 个竞标