There are 29 repositories under data-scientists topic.
:memo: An awesome Data Science repository to learn and apply for real world problems.
common data analysis and machine learning tasks using python
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Automated Data Science and Machine Learning library to optimize workflow.
Collection of cheatsheets for data science, machine learning and deep learning :).
The Learning Path and Comprehensive List of Materials from Data Science
This repository contains jupyter notebook and other resources made by me during learning Data Science
A curated list of links to great data science articles, videos, ...
Minimal Portfolio for my Data Science projects. Jekyll minimal template hosted on GitHub Pages.
Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
Notes, Ideas, and Projects related to my Springboard data science career track
Machine learning models to automatically predict credit card frauds
📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴
Malastare.ai is a startup Analytics Consulting Firm. Based in Texas, USA. We combine deep industry knowledge with specialized expertise in analytics, strategy, operations, and risk management. We leverage our clients' real-world experience, industry best practices and technology best practices to enable them to succeed in their big data projects.
Data Scientist Specialization in Netology
Analyticker is analytics environments of docker for data scientist and data analyst.
This project will be focused on helping students who are looking to rent an off-campus apartment, but this could help anyone who is looking to rent an apartment in Gainesville.
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them $2.3 million, after receiving over 1000 consumer complaints. The existing database will serve as a repository of public customer complaints file.
This repository contains the entire workflow for our Online Data Collection & Management and Data Preparation & Workflow Management group projects (group 3).
:memo: An awesome Data Science repository to learn and apply for real world problems.
Microsoft Ignite - Getting started on your health-tech journey using responsible AI
This year, 20,036 Kaggle users told us how they learn and level up, which tools they’re using, and what they recommend. The results include raw numbers about who is working with data, what’s happening with machine learning in different industries, and the best ways for new data scientists to break into the field.
Dear Recruiters: This is my updated resume. If qualified please do mail me about opportunities :octocat:
You can access the files of this project, which analyzes people working in the field of data science according to countries and working wages.