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.

Alkalmazza Data Science Experts szabadúszót

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    18 munka, árazás ebben: EUR

    Hi all, I am looking for a power automation for employee IT onboarding. For eg. 1. HR fills up basic details of the form for eg. Emp name, line manager, start date then submits 2. Line manger receives it and then he fills up other details like what access level employee eg.. sharepoint sites in checkboxes, applications to install etc and submits then a 3. IT team receives it and has an attachment option to attach any invoice or mention any cost in this and has a comment box. 4. Finally finance team receives it and approves it or rejects it. This form then needs to be stored in sharepoint with all the history

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    Hi, I would need a comparison of four different models for a time series forecasting project. The four algorithms that need to be implemented are - Fast Fourier Transform Forecasting model (FFT) - Theta model - Multi layer perceptron model (MLP) - Convolutional Neural Network model (CNN) I want the prediction on an hourly resolution. The single variable which needs to be forecasted is the PM25 value from the attached dataset. PM 2.5 refers to a category of particulate pollutant. The implementation should be in python using a jupyter notebook. Thanks,

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    need data science tutor -- 2 5 nap left
    HITELESÍTETT

    need data science tutor for my company to teach.

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    Modify Python datascience code 5 nap left
    HITELESÍTETT

    I'm looking for an experienced data scientist and Python engineer, to make small modifications to an existing codebase. The purpose of the modifications is to make the script work 'standalone' with fixed input / outputs. Here is a video explaining the task: Github repo: This Github project helps to identify anomalies within a Spotify playlist, using a range of data science techniques. Your task: 1. Convert "" to a Python script, instead of notebook. This would also include the removal of data visualisations that are currently generated. 2. Around Line 1109, determine which No. of Clusters has the highest Silhouette score and define this around Line 1229 where it is currently set manually "n_clusters=2" 3. Around Line 2205, determine which No. of Cl...

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    We have two datasets, one contains the body position in cartesian coordinates, and the other contains the same position's /frame-pose angles, we need a datascience expert to create a model that learns the non linear relationships and is able to give estimates on future cartesian coordinates , the range of error accepted is 1-4deg. we have attached a small subset of the dataset, for digestion of the problem. the floats on are all cartesian coordinates x,y in each column for a body part, and the contains angles in degrees for those cordinates. This is an opportunity for a long term partnership, only accept if you have a clear schedule & methodology for tackling this problem.

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    Rapidminer analysis 5 nap left
    HITELESÍTETT

    I need clear detailed explained report about every single step of the process using rapidminer software

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    Hi , Good morning to you , thanks for reading details. I have a project which is done on OMNeT++ about HetNet Now I want to extend it with reinforcement learning. In need of searching reinforcement learning expert , Have you any experience on network simulators especially OMNeT++?

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    Time series forecasting with Python 4 nap left
    HITELESÍTETT

    Hi, I would need a comparison of four different models for a time series forecasting project. The four algorithms that need to be implemented are - Fast Fourier Transform Forecasting model (FFT) - Theta model - Multi layer perceptron model (MLP) - Convolutional Neural Network model (CNN) I want the prediction on an hourly resolution. The single variable which needs to be forecasted is the PM25 value from the attached dataset. PM 2.5 refers to a category of particulate pollutant. The implementation should be in python using a jupyter notebook. Thanks,

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    Build an IOT Platform that integrates with Helium

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    Creation of ONNX classification model that loads in latest OpenCV and can effectively classify emergency vehicles from top front/top front side view (camera). Visual greyscale image of vehicle and audio processing of siren can be used. Classification has to complete within 200ms on 500 GFLOPs. Error rate: 0.97 positive for Emergency classification (1/30 emergency vehicles can be incorrectly classified as non-emergency). 0.99 positive for Non-emergency classification (1/100 of vehicles can be incorrectly classified as emergency). You will have to create your own dataset but will also be provided RTSP access to a camera with frequent ambulance appearances. This has to be done for ambulance and fire trucks marked according to specific standard (provided in attachment). All data with source...

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    I am looking for a Tableau expert to support my Tech Lead based out of India on daily basis

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    Hello For my project I still need several useful and (and at best modern) visualizations of my univariate time series (+ documentation why which parameters etc. were used, so that it is understandable). However, I was told that this would not make sense for this time series (apart from a normal plot) due to the nature. The models, etc. are already there and don't need to be done. Data preprocessing is also still missing if necessary please make, but does not seem to be necessary Documentation of what else can be seen from the visualizations (rolling mean, STD, decompensation, etc.) is also good. For the SARIMAX model, I would still need documentation regarding the seasonal parameters (e.g. why were the parameters seasonal_order=() set as they were). For the code of the GridSear...

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    BLOG WRITTING 2 nap left

    I am looking for blogger for an data science company, who can write 8 blogs / month

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    المساعدة في اختيار موضوع الرسالة والكتابة باللغة الانجليزية

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    Seeking skilled technology experts to create 700-900 word articles to appear on websites with 1m+ unique views per month each. Articles will be about specific business-related technology products ranging from collaboration platforms and payroll apps to network infrastructure, data centre operations, machine learning and cybersecurity. We are seeking people primarily with technical knowledge, who can perhaps write a little (or a lot!): we can teach editorial style and approach, but not teach technology knowledge and experience. Generally, tone is determined by the readership (who are technology experts). You'll be given clear briefs (read this, this, and this, give your commentary), and be expected to research what you don't know. Perhaps you have industry experience in DevOps ...

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    Looking for an Advanced Excel and google spreadsheets tutor to assist in creation of online courses Must have Native english language skills and or neutral accent Immediate start. Looking to create 10-15 min tutorials of approx 5-10 mins in length

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    A literature review with methodology for data mining in football.( CRISP steps)

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