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.Contratar a Data Science Experts
My project has these steps: 1. Using Python with Jupyter notebook scrap (only English language) tweets, reddit posts and news titles that goes to a date from another date. (Example: from 01/07/2022 to 31/07/2022). 2. Do a sentiment analysis of every post and collect in three csv every “post”, “sentiment value”, and “date”. (Example in the attachment).
Hi, I have a script in Python to do some image processing using the scikit learn library (graycomatrix, graycoprops) saving the output in a .npy file. The thing works, but the problem is that it is terribly slow since it is running a long iteration. I thought about doing some multiprocessing (or using something like Dash) but I have encountered some difficulties that I have no time to resolve (e.g. doing multiprocessing in a Jupiter Notebook, multiprocessing with multiple inputs, Windows 10/11). So, I was hoping that on my base of my code, you could develop the use of multiprocessing to speed up the processing time - or whatever other (simpler?) option may be feasible to achieve the same aim. Hopefully written in the simplest manner or with comments everywhere (for me to understand what...
The task is to train and test machine learning models for different purposes, it's kind of an open project, the models mainly will be in data related to bioinformatics applications, we will share more information about the project later after we find a good candidate, please only apply if you have experience with working with data science in bioinformatics and chemistry filed.
Hi, I need help with a project regarding Data Engineering; Data Science and Data Engineering techniques to enable data-driven decision-making with modern software tooling Investigate and demonstrate modern techniques to structure and manage access to data as well as deploy and monitor Machine Learning models to generate Data-driven insights. This task involves the exercises which involve the following; Data Analytics Pipeline: a. Planning and Design b. Implementation and Deployment c. Application and Analysis This project needs to be completed in 1 day so please if you are interested, plz contact me.
The Gaming Stars app allows gamers to compete in PlayStation, Xbox and PC games for real money. We are looking for an expert who can help us to track in-app user behavior with the above tools and optimize our marketing with data-based decisions. Mobile app attribution App marketing tracking
Hello, I need help with a project regarding Data Engineering; Data Science and Data Engineering techniques to enable data-driven decision-making with modern software tooling Investigate and demonstrate modern techniques to structure and manage access to data as well as deploy and monitor Machine Learning models to generate Data-driven insights. This task involves the exercises which involve the following; Data Analytics Pipeline: a. Planning and Design b. Implementation and Deployment c. Application and Analysis If interested, please contact me.
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. We would want to build a predictive model to predict what people are more likely to survive Titanic sinking? The data is grouped according to whether or not a person survived (1=significant, 0=insignificant). Download the data from D2L, and the following steps that will guide you how to build a data mining mo...
html , oracale data science with 6 to 8 years of experience thes can work on complete work and give a long time project profamence to wil work to babased on work pe you html , oracale data science (1000).
Need a Machine Learning expert in Clustering and Statistics to help us with our project on understanding app-specific user activity behavior. Looking for weekly consultation role. Share your work experience and relevant projects to help us understand if you would be a suitable candidate for this project. You can share your portfolio of projects, Github or Kaggle link. Send us here: [Removed by Freelancer.com Admin for offsiting - please see Section 13 of our Terms and Conditions] Only bid if you have a relevant profile for this role.
I have some machine learning questions to be solved in a tight deadline. I have some codes already done and just need to edit them to remove plagiarism and some questions need new work. I want part 1 q4 and q5 from scratch and part 2 i have all codes just need redoing.
I have a list of 240 million websites I'd like to crawl and want to do that in the most cost-effective /quickest way. This would likely be accomplished with a web crawler that you would create to categorize the websites it crawls and sorts them into various categories while extracting key information such as. Business name, emails, phone numbers, addresses. I would also like to track the technologies the websites used for example Shopify. Here is how I would like websites to be processed 1. Determine if the website is in English 2. Determine the category of the website. 3. Determine if the website is for a business 5. Determine the category of business 6. If website is a business scrape the information using NLP (get as many pre-determined fields as possible) 7. Schedule to update ...
Need help with a data programming project. Necessary skills * familiarity with economic data analysis * fluency in mandarin * availability today
I need a large amount of sports data scraped from a website. You can either code a scraping tool for me or do the actual scraping, but if the latter, it still needs to be with some automated method because this involves many thousands of pages. The scraping process should be unintrusive not to cause any issues to the website. The data needs to be neatly collected into an Excel spreadsheet.
Hello I am looking to learn data science. You will get on call with me and answer questions and build models, 2 to 4 hours per week. You will get paid hourly in advance for the calls.