Data science

Data science

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Resources - DeepLearning.AI
Resources - DeepLearning.AI
Our resource center to help you get started and level up your skills as an AI practitioner | eBooks, Guides, Course Slides, AI Notes, and more.
·deeplearning.ai·
Resources - DeepLearning.AI
Pandas for Data Science in 20 Minutes | Python Crash Course
Pandas for Data Science in 20 Minutes | Python Crash Course
Want to get up to speed with Pandas FAST? Tired of spending hours in data science courses? I hear you! I give you, Pandas in 20 minutes! In this crash course you'll learn the 20% percent of Pandas you need to know to give you the 80% of results. You'll learn everything you need to know to get up and running with your data science project super FAST. In this video you’ll learn how to: 1. Create data frames from a range of sources 2. Update, visualise and preprocess data in data frames 3. Output your preprocessed data frames to csv, JSON and HTML Github Repo for the Project: https://github.com/nicknochnack/Pandasin20Minutes Want to learn more about it all: Pandas Documentation: https://pandas.pydata.org/docs/ Oh, and don't forget to connect with me! LinkedIn: https://www.linkedin.com/in/nicholasr... Facebook: https://www.facebook.com/nickrenotte/ GitHub: https://github.com/nicknochnack Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! Music by Lakey Inspired Chill Day - https://www.youtube.com/watch?v=3HjG1Y4QpVA
·youtube.com·
Pandas for Data Science in 20 Minutes | Python Crash Course
Harvard CS50’s Artificial Intelligence with Python – Full University Course
Harvard CS50’s Artificial Intelligence with Python – Full University Course
This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. This course has been updated for 2023 to include an in-depth section on large language models. ✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/ 🔗 Course resources: https://cs50.harvard.edu/ai/2020/ ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Introuction ⌨️ (00:02:26) Search ⌨️ (01:51:55) Knowledge ⌨️ (03:39:39) Uncertainty ⌨️ (05:34:08) Optimization ⌨️ (07:18:52) Learning ⌨️ (09:04:41) Neural Networks ⌨️ (10:46:00) Language 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
·youtube.com·
Harvard CS50’s Artificial Intelligence with Python – Full University Course
Python for Data Analysis Course with Free Certificate - Great Learning
Python for Data Analysis Course with Free Certificate - Great Learning
Python for Data Analysis: In this course we will work on 3 projects IPL, Football and Marvel Superheroes we will also teach you concepts of python analytics. Enroll today for this free course and get free certificate.
·mygreatlearning.com·
Python for Data Analysis Course with Free Certificate - Great Learning
Harvard CS50’s Introduction to Programming with Python – Full University Course
Harvard CS50’s Introduction to Programming with Python – Full University Course
Learn Python programming from Harvard University. It dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Topics include database design, scalability, security, and user experience. You will learn how to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. This course will teach you how to read and write code as well as how to test and “debug” it. It is designed for students with or without prior programming experience who’d like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice. Exercises inspired by real-world programming problems. No software required except for a web browser, or you can write code on your own PC or Mac. Whereas CS50x (the original CS50 course) itself focuses on computer science more generally as well as programming with C, Python, SQL, and JavaScript, this course, aka CS50P, is entirely focused on programming with Python. You can take CS50P before CS50x, during CS50x, or after CS50x. But for an introduction to computer science itself, you should still take CS50x! 💻 Slides, source code, and more at https://cs50.harvard.edu/python ✏️ Dr. David J. Malan teaches this course. 🖥 Watch the original CS50x course: https://youtu.be/8mAITcNt710 ⭐️ Course Contents ⭐️ (00:00:00) Introduction (00:04:48) Lecture 0 - Functions, Variables (01:50:24) Lecture 1 - Conditionals (02:46:23) Lecture 2 - Loops (04:07:10) Lecture 3 - Exceptions (04:51:45) Lecture 4 - Libraries (06:09:15) Lecture 5 - Unit Tests (07:00:22) Lecture 6 - File I/O (08:32:32) Lecture 7 - Regular Expressions (10:37:35) Lecture 8 - Object-Oriented Programming (13:28:47) Lecture 9 - Et Cetera HOW TO JOIN CS50 COMMUNITIES Discord: https://discord.gg/cs50 Ed: https://cs50.harvard.edu/x/ed Facebook Group: https://www.facebook.com/groups/cs50/ Faceboook Page: https://www.facebook.com/cs50/ GitHub: https://github.com/cs50 Gitter: https://gitter.im/cs50/x Instagram: https://instagram.com/cs50 LinkedIn Group: https://www.linkedin.com/groups/7437240/ LinkedIn Page: https://www.linkedin.com/school/cs50/ Medium: https://cs50.medium.com/ Quora: https://www.quora.com/topic/CS50 Reddit: https://www.reddit.com/r/cs50/ Slack: https://cs50.edx.org/slack Snapchat: https://www.snapchat.com/add/cs50 SoundCloud: https://soundcloud.com/cs50 Stack Exchange: https://cs50.stackexchange.com/ TikTok: https://www.tiktok.com/@cs50 Twitter: https://twitter.com/cs50 YouTube: https://www.youtube.com/cs50 HOW TO FOLLOW DAVID J. MALAN Facebook: https://www.facebook.com/dmalan GitHub: https://github.com/dmalan Instagram: https://www.instagram.com/davidjmalan/ LinkedIn: https://www.linkedin.com/in/malan/ TikTok: https://www.tiktok.com/@davidjmalan Twitter: https://twitter.com/davidjmalan LICENSE CC BY-NC-SA 4.0 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License https://creativecommons.org/licenses/by-nc-sa/4.0/
·youtube.com·
Harvard CS50’s Introduction to Programming with Python – Full University Course
Seqera | The modern biotech stack
Seqera | The modern biotech stack
A seamless experience for data pipelines at scale with Nextflow. Deploy workflows, complex pipelines, and data-intensive applications in the cloud.
·seqera.io·
Seqera | The modern biotech stack
Deemea - Clinical study imaging management system
Deemea - Clinical study imaging management system
Deemea revolutionizes biomedical research with its AI-driven platform, empowering clinical operators to efficiently navigate and interpret imaging data. Ensure compliance by design with top-tier privacy protocols, and experience seamless collaboration through a smart, integrated system for data capture, study management, and global cooperation.
·deemea.com·
Deemea - Clinical study imaging management system
Tilebox
Tilebox
Performance, Security, Scalability, Maintainability and Resilience Out of the Box.
·tilebox.com·
Tilebox
Aiven - Your Trusted Data & AI Platform
Aiven - Your Trusted Data & AI Platform
Aiven simplifies cloud data infrastructure management by deploying open-source technologies across multiple clouds, enabling fast and confident creation of next-generation applications.
·aiven.io·
Aiven - Your Trusted Data & AI Platform
Tinybird · The Way to build Real-time Data Products
Tinybird · The Way to build Real-time Data Products
Tinybird helps data teams build real-time Data Products at scale through SQL-based API endpoints. It ingests millions of rows per second and serves low latency, high concurrency analytical queries over any amount of data.
·tinybird.co·
Tinybird · The Way to build Real-time Data Products
Matatika: unlock the insights in your data
Matatika: unlock the insights in your data
Spend your time developing insights, not dealing with infrastructure. Our plaform and data stack won't break the budget. It's a complete workspace platform that turns all your cloud data sources into a real-time news feed of insights. Import, process, share, and collaborate - all in one place.
·matatika.com·
Matatika: unlock the insights in your data
All-in-one Data Platform | Peliqan
All-in-one Data Platform | Peliqan
Empower your business with Peliqan's all-in-one data platform. Visualize, analyze, and activate data to drive impactful decisions.
·peliqan.io·
All-in-one Data Platform | Peliqan
Home - Altkimya
Home - Altkimya
Our technology breaks the complexity and cost of real-time data analytics It's time to change your perception and start to treat data like a product! Let's start Contact us What's your relationship with your data?It's no news that data serves as a crucial asset for businesses in various ways. Whether it is for informed decision-making,
·altkimya.com·
Home - Altkimya