✅ 5 of the best Kaggle datasets
💸 For data science projects (in finance)

👨🏻‍💻 If you are looking for datasets to do financial projects, the datasets presented on the Kaggle site can be a great option.

⏪ These datasets are usually clean and ready to use and are very suitable for machine learning models. Some of these datasets are even updated daily and you can use them for deeper analysis.👇


1️⃣ S&P 500 stock dataset (daily update)

📎 Link: S&P 500 Stocks


2️⃣ Database of loans and debts

📎 Link: Loans & Liability


3️⃣ Dataset of frequent use of credit card

📎 Link: Credit Card Spending Habits


4️⃣ Company bankruptcy prediction dataset

📎 Link: Company Bankruptcy Prediction


5️⃣ Credit score classification dataset

📎 Link: Credit score classification

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🔒 #datasets #AI #ML

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Andrew Ng's course on ChatGPT Prompt Engineering for Developers, created together with OpenAI, is available now for free!

👇👇
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

http://t.me/codeprogrammer ❤️

🔒 #deeplearning #AI #ML

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🔒 One week of free access starting today!
⏪ To all courses on the DataCamp site
⬅️ Free access to data science courses
✅ Without any restrictions!
☀️ From August 26 to September 1


🔥 The DataCamp website has created free and unlimited access to all data science courses starting today and for one week , without any restrictions or the need for a credit card!👌

💠 From today! You have the opportunity to access all of the following for free by creating an account with an email:👇

1️⃣ Over 500 courses in data and artificial intelligence for all levels.

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☄️ JupyterLab Templates plugin

👨🏻‍💻 If you use JupyterLab a lot, you probably create a new notebook from scratch every time you start a data analysis project. But with the JupyterLab Templates plugin , there is no need to do this anymore. This tool allows you to create different templates and use them whenever you need.

💰 For example, suppose you have a similar structure for each data analysis or EDA project. Using JupyterLab Templates, you can create this structure once and then use that template every time you want to start a new project, without having to start all over again!

⏪ Installing and using this plugin is very simple.👇

pip install jupyterlab_templates

http://t.me/codeprogrammer ⭐️

🔒 #deeplearning #AI #ML #python

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/codeprogrammer

▶️ Top 15 YouTube Channels
✅ To master artificial intelligence


1️⃣ Thu Vu Data Analytics channel
┤⏪ Practical training of artificial intelligence and data science.
┘ 💰 Link: Youtube Channel


2️⃣ Channel Analytics Vidhya
┤⏪ Specialized training in data science.
┘ 💰 Link: Youtube Channel


3️⃣ Tina Huang's channel
┤⏪ Experiences of a former Meta scientist.
┘ 💰 Link: Youtube Channel


4️⃣ DeepLearningAI channel
┤⏪ Providing educational videos about DL and AI.
┘ 💰 Link: Youtube Channel


5️⃣ StatQuest channel
┤⏪ Simple and humorous statistics and ML training.
┘ 💰 Link: Youtube Channel


6️⃣ Matt Wolfe's channel
┤⏪ The latest developments and tools of artificial intelligence.
┘ 💰 Link: Youtube Channel


7️⃣ IBM Technology channel
┤⏪ All about AI and emerging technologies.
┘ 💰 Link: Youtube Channel


8️⃣ Codebasics channel
┤⏪ Simple tutorials to get started with Python and ML.
┘ 💰 Link: Youtube Channel


9️⃣ Data School channel
┤⏪ Data analysis and visualization training.
┘ 💰 Link: Youtube Channel


1️⃣ Siraj Raval channel
┤⏪ Simple explanation about AI and Blockchain.
┘ 💰 Link: Youtube Channel


1️⃣ Two Minute Papers channel
┤⏪ A summary of research articles in the field of AI.
┘ 💰 Link: Youtube Channel


1️⃣ Krish Naik channel
┤⏪ Practical training of AI and machine learning.
┘ 💰 Link: Youtube Channel


1️⃣ freeCodeCamp channel
┤⏪ Free courses to learn coding and AI.
┘ 💰 Link: Youtube Channel


1️⃣ Channel 3Blue1Brown
┤⏪ Visual and conceptual teaching of mathematics in AI.
┘ 💰 Link: Youtube Channel


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┤⏪ Applied training of AI and data analysis with Python.
┘ 💰 Link: Youtube Channel

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Comprehensive Python Cheatsheet (2024)

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Convert CSV to JSON with Python

⭐️ Github

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🔒 #deeplearning #AI #ML #python

You us stars ⭐️ to support our post ❤️

Use stars ⭐️ only when you think the post deserves it, in order to draw the attention of other friends to read or view the post.

Building Agents: Free Course

We just released a course with > 20 videos & notebooks focused on building agents. All code is open-source and the course is free!

Context
Back in June, I gave at talk at @aiDotEngineer on building agents with LangGraph. I got ~2 hrs of questions. We took these questions along with lots of feedback we've heard from users and built a course!

Module 1: Foundations
The first module includes several notebooks & videos that focus on what is an agent explained in simple terms, how to build various types of agents (routers, ReAct, etc), how to debug them w LangGraph Studio, and how to deploy them w LangGraph Cloud.

Module 2: Memory
One of the biggest questions we've heard is how to build long-running agents, which can remember important details. We show how memory works with LangGraph, and how to use various databases (SQLite, Postgres) to serve as agent memory.

Module 3: Human-In-The-Loop
Another central question with agents is allowing humans to approve actions (tools use) or modify the agent state (add feedback). We show various human in the loop interaction patterns that are supported in LangGraph, and also show how to stream the graph state during agent execution for human review.

Module 4: Controllability
The final module focuses on various design patterns for agent control flow, including parallelization of tasks and creating multi-agent teams with their own tasks / internal memory. This builds up into a customizable multi agent system for research that pulls together themes from the entire course.

Course (links to code, all videos):
https://academy.langchain.com/courses/intro-to-langgraph

http://t.me/codeprogrammer 🔒

💡 #deeplearning #AI #ML #python

Andrew Ng just released two new AI Python courses for beginners!

The course teaches how to write code using AI.

If you're thinking about learning to code, now is the perfect time to do so.

https://deeplearning.ai/short-courses/ai-python-for-beginners/

http://t.me/codeprogrammer 🔒

💡 #deeplearning #AI #ML #python

Data Science Cheat Sheets
Quick help to make a data scientist's life easier

About Dataset
A collection of cheat sheets for various data-science related languages and topics


http://t.me/codeprogrammer 🔒

💡 #deeplearning #AI #ML #python