Welcome to DataScience Collaborative, a community-driven data science project where data enthusiasts, analysts, and machine learning practitioners come together to collaborate on data analysis tasks and projects. Whether you're a seasoned data scientist or just getting started with data analysis, this is the place to learn, contribute, and grow you
License: MIT License
A machine learning project in game development involves using algorithms and data analysis to enhance the gaming experience. It can include player behavior prediction, dynamic content generation, and optimizing in-game mechanics. By leveraging ML techniques, developers can create more immersive and personalized games, improve player engagement, and make data-driven decisions for game design and marketing strategies.
The dataset for the machine learning project on game development analysis comprises extensive information related to video games. It includes game titles, genres, release dates, sales figures, user reviews, and critical ratings. This dataset is valuable for analyzing gaming trends, identifying successful game attributes, and making data-driven decisions in the game development industry.
hacktoberfest
No response
** Describe the dataset and analysis requirements here:
I would like to add a machine learning data analysis script, which will analyse all the crimes in indian scenario according to past trends and other circumstances. It will analyse all the crimes state wise and time zone wise.
**Dataset details here:
hacktoberfest
No response
So here we have the main three folders data, notebooks, and scripts so we want every folder to have a basic structure in which the user can easily go through the content of that particular folder so he or she doesn't need to check all the folder to check what they contain or not. It's also good for beginners to get the whole idea about the project.
data, notebooks, and scriptshacktoberfest, minor
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No response
No response
Describe your bug here
Steps to reproduce the issue
hacktoberfest, critical
Describe your bug here
Steps to reproduce the issue
hacktoberfest, critical
Describe the dataset and analysis requirements here
Dataset details here
hacktoberfest, data visualization
m,
No response
Dataset details here
No response
Machine learning analysis of Udemy courses involves using data-driven techniques to gain insights, improve recommendations, and enhance user experience on the platform.
A dataset for analyzing Udemy courses would typically include information such as course titles, descriptions, instructors' names, ratings, reviews, enrollment numbers, duration, price, and category. This data can be used to perform various analyses and build machine learning models to understand course trends, user preferences, and make data-driven recommendations.
hacktoberfest
No response
Describe your bug here
Steps to reproduce the issue
hacktoberfest
Describe the dataset and analysis requirements here
Dataset details here
hacktoberfest, descriptive statistics, data visualization
a
d
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Steps to reproduce the issue
hacktoberfest, critical, minor
A machine learning-based grocery data analysis project utilizes algorithms to analyze shopping patterns, optimize inventory, and provide personalized recommendations. It enhances the shopping experience and streamlines operations for retailers while improving customer satisfaction.
For a machine learning-based grocery data analysis project, essential datasets should include sales transactions, product details, customer demographics, and seasonal trends. These datasets enable predictive modeling, demand forecasting, and personalized shopping recommendations.
hacktoberfest
Supermart Grocery Sales - Retail Analytics Dataset.csv
No response
So in this, I want to create a website about the DataXchange where users can efficiently and easily search through the data and learn and contribute more. You are all free to give your suggestions in the comment section and freely talk about it.
By that, we can reach out to more contributors.
hacktoberfest, enhancement
Describe your bug here
Steps to reproduce the issue
hacktoberfest
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.