I’m trying to create an image classifier with Tensorflow CNN for dinosaur types based on an uploaded footprint. Does anyone know where I can get a dataset for this?

Working on object detection in guassian splats. would anyone have a massive library of ply files?

I am making a data base (for uni) and we’ll it’s schema is this:

I need data for this and I reaaally don’t quite know where to get the specific shmuck that I need.

Tournaments

TournamentID (Primary Key) TournamentName TournamentYear TournamentCountry TournamentType TournamentFormat TournamentPrizeMoney

Leagues

LeagueID (Primary Key) LeagueName LeagueCountry LeagueWebsite LeagueSponsor LeaguePromotion LeagueRelegation

Teams

TeamID (Primary Key) TeamName TeamCity TeamCountry TeamLogo TeamFounded TeamStadium TeamCaptain LeagueID (Foreign Key)

Players

PlayerID (Primary Key) PlayerName PlayerAge PlayerNationality PlayerHeight PlayerWeight PlayerMarketValue PlayerPosition TeamID (Foreign Key)

Stadiums

StadiumID (Primary Key) StadiumName StadiumCity StadiumCountry StadiumAddress StadiumSurface StadiumRoof StadiumCapacity

Matches

MatchID (Primary Key) HomeTeamID (Foreign Key) AwayTeamID (Foreign Key) MatchDate MatchTime MatchReferee MatchAttendance MatchWeather HomeTeamScore AwayTeamScore TournamentID (Foreign Key) StadiumID (Foreign Key)

PlayerMatches

PlayerMatchID (Primary Key) PlayerID (Foreign Key) MatchID (Foreign Key) MinutesPlayed GoalsScored Assists ShotsOnTarget ShotsOffTarget Saves Tackles PassesCompleted YellowCards RedCards PlayerRating PlayerManOfTheMatch PlayerSubstitute

Hello everyone, I hope this is the correct place to ask.

As part of a university project I am looking at how Dutch trade with both Japan and China has been impacted positively / negatively by the Japan-China territorial disputes. I want to just get a very general overview of how the trade has varied over time.

But for the life of me, I can’t figure out what indicators or datasets to use for something so seemingly simple. I found BACI and UNCOM, but don’t know which one would be most useful or if they are even relevant.

Thank you very much in advance, and warm regards.

Hey guys, I am trying to download the datasets from this link https://www.kaggle.com/datasets/debashis74017/stock-market-data-nifty-50-stocks-1-min-data/data/ACC_minute_data_with_indicators.csv for a school project, but can’t use the Download button since I need to download through terminal onto another machine. I’m trying to use wget <link> but it keeps downloading the html over view page. How can I download this properly? Any help would be appreciated!!

Anyone have ideas or suggestions on where to find datasets on the commercial cost of power, the prices utilities charge each other, and separately the cost to produce power in the US?

Hi, for my final year project at university I am using data set which contains jobs postings and all related data of LinkedIn I’ve used powerbi for dashboards and visualisations now I want to predict which job is in most demand by selecting the industries giving in dataset. It’s in text like English I don’t know how to do it which model I should use. I have learned about some ml models in my ml course but they all deal with numbers how I can do prediction from text. Regards

I am looking for a dataset with short stories of at least several hundred stories for machine learning purposes. The dataset should also contain a genre for the story and a title.

Hi! I am a final year student of computer engineering and I want to do a TFG related to artificial intelligence applied to a more “medical” field in order to make a model of recognition and prediction of brain tumors, brain damage from head injuries, brain disorders or diseases from images. However, I have been investigating in platforms like Kaggle but I can’t get datasets for this purpose. Do you know of any resource to obtain images of this type?

Hey all- co-founder at Gretel.ai here. We are thrilled to release a high quality synthetic dataset aimed at helping LLMs improve performance working with SQL data and queries. Details and links below, we would love to hear any feedback!

Our blog: https://gretel.ai/blog/synthetic-text-to-sql-dataset
Get the dataset on Hugging Face: https://huggingface.co/datasets/gretelai/synthetic_text_to_sql

The dataset includes:
* 105,851 records partitioned into 100,000 train and 5,851 test records
* ~23M total tokens, including ~12M SQL tokens
* Coverage across 100 distinct domains/verticals
* Comprehensive array of SQL tasks: data definition, retrieval, manipulation, analytics & reporting
* Wide range of SQL complexity levels, including subqueries, single joins, multiple joins, aggregations, window functions, set operations
* Database context, including table and view create statements
* Natural language explanations of what the SQL query is doing
* Contextual tags to optimize model training

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I need to build a project in data science I need ideas and data set also

Information, entered manually from my handwritten bird log, includes species and dates. Wondering what is the best way to compile and visualize this data.

I’m not a data scientist, so the simpler the better. Thanks for any tips!

i been looking for a while where i can find this data with no lead can someone offer some help

Hi, I’m graduating this year I’ve good grip on sql,python and all computer science fundamentals I’ve also made two projects with power bi using already available ready to use datasets. I wanted to get into data engineering but I’ve heard from many people data engineering is not beginners role I need to start as a data analyst. If it’s correct. Which certification is best for learning about data analytics google, ibm, or Microsoft. I know the best way is to learn by making projects but I think in job interviews they ask about tools and techniques in depth so that’s why preferring certification or course. Regards

Can anyone give me dataset about depression in Bangla?
or Can anyone give me some links where can I find depression related datasets in Bangla?

This is for a school project where I am analyzing sportsbooks in the US but we get to choose the specific topic related to the sportsbook. Mostly just looking for a topic that will have good data so looking for the data first.

Howdy folks,

Im looking for a data set to comprise of about 15 US cities or so, and looking for max temperature and precipitation measurements for the first three months of 2023 and 2024. I know I can use https://www.ncei.noaa.gov/, but its a pain in the rear end to try to go city by city and then extract em all out one by one, year over year and then synthensize and transform 15 or 30 more sets altogether.

Would anyone know if this currently exists somewhere in a CSV format possibly?

I found this Instagram page (https://www.instagram.com/mixedracefaces?igsh=aDVjYmpkNG44NGYx) and I was wondering if there was a dataset of/a way to scrape pictures of people to fill a matrix of countries x countries, to have a picture of what each mixed origin may look like?

Not sure if this is the right place:

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Looking for a database of MAGA republicans with phone numbers so we can try and convert them before NOV!!

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Thank you for your support

For my research I’m looking for a database that has the # of employees at each healthcare facility in the US. I’ve been using the CMS healthcare facilities dataset through HRSA, but unfortunately it doesn’t seem to have data for all facilities. Any suggestions on other database that may be helpful?
I’m also looking for a data on number of in & outpatient visits for each healthcare facility in the US, and would appreciate suggestion for that as well.

Hello All,

As the title suggests, I am looking for a way to get data on specific career paths, and what background/years of experience individuals had to get them there.

Data I will need:

All individuals in US who held positions at target firms (see below for list) in last 10 years. All companies (past & present) All positions held + length of time Educational background and dates

Target is individuals who currently hold or in the past held Associate, Engagement Manager, Associate Partner, or above positions at the MBB firms:

McKinsey Boston Consulting Group Bain & Co

Purpose: Decide on where to get my MBA (online) in order to maximize my chance enter these firms within a given timeframe.

Intended Analysis Methods: Determine % of individuals who attended Ivy league, vs top 25, vs other schools, % of individuals with MBAs. Determine breakdown by industry background. Determine distribution for years of experience under two conditions – entering at that level and rising to that level from within.

Also, will need to do the same thing for Tech (M7 companies, Nvidia, Tesla, Microsoft, Google, Apple, Meta, Amazon). Would also like to cross check and see how many from consulting ended up in Tech.

From what I can tell, there are a few ways I can do this:

Write code accessing the LinkedIn API and figure out the limitations. Purchase software that will scrape for me through my account. Pay for another company to scrape the data for me. Pay for an existing data set. Find a free publicly available dataset.

Any help would be greatly appreciated.

I know it’s been already asked several times, but does anyone still have access to a CrunchBase Pro subscription by any chance? I’d like to download a dataset about ClimateTech startups (including funding, investors, number of employees, etc.) on the EU or global level for my master’s thesis, but I can’t do it without the subscription. I already applied for the academic research access but haven’t received any response and don’t hold out much hope of receiving it. Or perhaps you know someone who conducts research on startups or works in this industry and might have access to this data? I would greatly appreciate any help with that!

I am looking for a dataset to aid in my research for a school project. I have checked Datasets Gov and Kraggle. To no avail nothing seems to fit what im looking for. My guiding question for this statistics project is: How does a state’s political affiliation affect the nuclear power restrictions?

I figured Id analyze the relationship between more conservative states and how lax/stringent they are on nuclear policy versus liberal states. Any help is appreciated. Thanks.

Anyone have a line on Easter or spring datasets? Trends on egg sales, church attendance, candy, chocolate eggs or any of those types of items?

I am looking to create a regression relating to averages in consumer gaming usage, pretty broadly speaking.

Alternatively, if anyone knows where I can find data for top gaming companies’ monthly or quarterly revenues that would help as well.

Does anyone know of well-established Wikidata datasets that are regularly updated?

Any guidance on how to find these datasets or tips on ensuring they are up-to-date would be super too 🙂

I am currently a MSDS student. I am trying to come up with an idea for my capstone project.

My wife is a Registered Dietitian and her biggest annoyance is the amount of no-shows and last minute cancelations she gets. I want to try to build a model predicting the likelihood of a patient keeping their appointment. Presumably based on features like payment method (out-of-pocket vs insurance), age, reason for appointment, etc.

Where can I get such data?

If I can’t find data for Dietitians specifically, I would look into other medical practitioners, so those leads would be appreciated as well.

PGT Poker High Roller Tournament Data 2015-2024

This is my very first time trying to create a database. I decided to use information that I’ve been recording for awhile now on the Poker High Stakes Tournament scene. One of the guarded secrets in poker is how much a player is in profit for his career. They’ll gladly post x player has nine million in earnings, but its very possible that the player is also in the negative when you subtract buyins.

I figured out years ago, news reporting sites will gladly give you all the information on who played and busted a poker tournament in their chip counts report. If you click on chip counts and day 1 you can get the full list of players. https://www.pgt.com/live-reporting/pokergo-cup-2024/event-2-10100-nolimit-holdem So what I did was compaired the list of players who played an event with the list of players who also recived a payout, and then subtracted the buyin from their payout.

There were really two limitations with this. One is we don’t know how many times a player rebought into an event. In most of these tournaments a player if they busted out can rebuy into the event. We know that 61 players were reported to have played the event, but also by the info in the table uptop that 89 players had played, so 28 had rebought in. This information makes since, when we look at other tournaments like Pot Limit Omaha events the rebuy counts are higher and games like Short Deck Hold’em which is known to have even higher rebuying. Problem is we don’t know exactly who. The second issue is the rake. The rake in a poker tournament is a fee the casino takes out of the buyin to help pay for costs. PGT is unique in that if you show up on time when the event starts, you get to play rake fee. The problem there is we don’t know who showed up early or late. Rake can have a huge effect on a persons win rate. Sadly we can’t accurately calculate it.

So if you have any interest in poker have a look. Now one thing I did do was to give each player a #ID instead of using their real name. I didn’t want to public shame anyway by putting out how much they lost.