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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    Sentiment Analysis OCR 6 zile left
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    Hello! I have all my school reports from when I was a child. There are 11-12 school reports in total. The first starts in year 1993 and covers the first half of my schooling. All the reports from 1993 until 1999 contain hand written text and cover from prep/foundation until year 6. The second half from 2000 until 2004 and describe my high school experience and the text is printed via a computer. I would like to run text and sentiment and sentiment analysis to unlock and discover key themes per yea over time, and each half year, each report is either covering the first or second half of an allocated year and to identify and uncover any consistent themes over time. The analysis should also identify any outlier years and the corresponding reasons why based on teacher feedback. How can I ...

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    Get some professional advice on a machine learning project and setup development and hosting environment. When you apply please attach your resume without contact information. Thank you

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    Basically i need your support to modify a pythin data base code , i will let you know details - I hope you are very Good so basically in need for somone having expert in language data scince related , having deep learning and AI experience how it should be improved, then rewrite it so that it is more modular, more suitable for reuse, and properly defensive in terms of errors.

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    Hi, I am looking to hire an exceptional part time Python programmer that has experience with data science libraries such as TensorFlow, NumPy, SciPy, Pandas, Matplotlib, Keras, SciKit-Learn, PyTorch, Scrapy, BeautifulSoup, NLK, Spacy, etc. to help me build data applications on Streamlit. The candidate should also have prior experience applying NLP algorithms and other AI technologies including making use of Open AI. The candidate should also have experience working in Linux, in an AWS and GCP environment, as well as making use of data science platforms such as Snowflakes and Datalore. Don't hesitate to send me a link to your Github or Youtube.

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    buiild a user suggetion and predictive model for my exam app...

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    Seeking an individual with experience with AI, machine learning and NeRF. Understanding of dream fusion and/or magic 3D to create a text to 3D asset creation for our project.

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    buiild a user suggetion and predictive model for my exam app..

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    looking for Python expertise 4 zile left
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    I hope you doing very Good , I am In need for data science expertise and python managed.I want you to modify a code base , i will send you details , if you available we can discuss thank you

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    need US federal sites (max 3,4) scraper for capturing historical and live data

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    need help to project an ETL app for large (almost big) data collected by several scrapers.

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    buiild a user suggetion and predictive model for my exam app

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    District 8, Rainfall (mm) Year 1991-2920 (30 Years) Methodology::- Principal Component Analysis Please see Material Methodology: Application of principal component analysis to understand variability of rainfall R N IYENGAR

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    I need an optimized algorithm written in c++ to sort 2d points along a route. The function shall receive a pointer to a vector that contains a quantity of random points (represented by x,y float coordinates). A typical set will contain 300,000 points. It has to order these points in a way that they form a continuous line, trying to achieve the shortest line possible. Let's say that 3 different people were each holding a pen. There is a somewhat blurred route that goes from location A to location B. These people are told to draw a line along the blurred route starting near one of the locations and going towards near the other (attachment ). For every 'd' distance along the drawn lines, the coordinates of a point are saved in the vector. We do not know which coordinate belong...

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    I hope you are very Good so basically in need for somone having expert in language data scince related , having deep learning and AI experience Analyse pgmEcho.c to identify how it should be improved, then rewrite it so that it is more modular, more suitable for reuse, and properly defensive in terms of errors.

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    Help for a data science project 3 zile left
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    Get some professional advice on a machine learning project

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    Looking for someone having experience in the data science, basically I need someone having python expertise to modify a codebase The data is already working in some other aspects but I want to modify as per my requirements like to work this code as searching I will send details thank you

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    I need help with a port of a small gan model from tensorflow to pytorch. In detail i think the biggest problem is the Conv2DTranspose with the 'same' padding mode, goal is to have both tf and pytorch model output to be nearly identical. If you can solve this asap I will make the tip of $10.

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    KANO/Conjoint Analysis -- 2 2 zile left
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    An early-state Founder is seeking to patent an idea. The patent is in final stages of approval. But should the product be designed? Is it what customers want today? or tomorrow? For answering this question, you are tasked with determining what the customers want using tried-and-tested marketing methods like Conjoint Analysis anf KANO Method. Are you familiar with these? If yes, then sign-up.  Rules: 1) You will be prodived with some details of the Market Segment, Intended Product, All variations of the product needed to perform Conjoint Analysis or KANO 2) Prior exposure with atleast one project using above techniques is mandatory (Freshers with case-study experience also Welcome) 3) If you are exceptional, a permanent job opportunity might exist for you in the startup as a co-found...

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    Review technical report writing 2 zile left
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    Writing a 6 page technical report for a topic of ML models

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    Hi! I need to create a jupyter with an automatic contract generator from word template. Some data will be imput and contract should be created with that info.

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    Instagram Api data collect 1 zi left
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    Hi! I need to make a jupyter with a code to collect some data from instagram from different user accounts. I read a lot in Github, but I would prefer if someone is already expert on it.

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    SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping Paper: Video: Code:

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    Hi, I need step by step tutorial how to prepare dataset and finetune Facebook No Language Left Behind Dense data model. I would like to finetune datamodel to better understand automotive industry terms. I have attached (English data) and (German translations data) Here it is checkpoint of pretrained datamodel which I want to finetune and make it more professional in Automotive terms translations. Tutorial must be step by step video for Windows operating system. Budget for this job is 100 USD

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    I need someone that understands statistics to analyze data from soccer games. THis is focused in one specific market to find correlation between events. The person must be able to find things such as: Amplitude, Variance, Standard deviation, Frequency and on. The person have also to be able to create a dashboard taking data from a website to create future events prediction. Thanks.

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    I want you to consult and design a model with gpt3 and federated learning.

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    you need to write a technical paper about these topics. (one on clustering, one on dimension reduction and one on association rules)

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    Python/other code to download TradingView historical OHLCV data from any ticker in any market with one-click to download data from a specific date to the present across 12m 6m 3m 1m 1w 1d time periods.

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    Data science: Based on crypto historical data we would like to predict where is the Best moment to buy crypto or sell. We could test algoritm on for example Etherium crypto then apply it to rest of crypto curriencies. Following task can be split for steps: 1. Find where data can be retrieved(free api or other method like scrapping) We can Focus on value in each day and/or hour. 2. Create algoritm based on known data science Methods, some existing library can be used. (Like neural Networks, linear Regression etc) 3. As output we do prediction for future And Stored in database. 4. Output is later validated, calculating accuracy. 5. Accuracy should be higher than 60%, close to 100% would be perfect. I recommend to use Java for that, but if you feel better in for example Python or other lan...

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