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🚀 Free Python Course with Certificate🚀
Unlock the world of coding with our Python Fundamentals for Beginners course—completely FREE! 🚀 Whether you're new to programming or want to brush up on your skills, this course has everything you need to get started.
Why Choose This Course?
✔️ 100% FREE—No hidden fees
✔️ Flexible learning at your own pace
✔️ Certificate of completion to boost your resume
✔️ Practical, hands-on learning with real examples
Don't miss out on this FREE opportunity to level up your skills!
Enroll Now : https://t.ly/Tr8gG
http://t.me/codeprogrammer🔒
🔒 #deeplearning #AI #ML #python
Unlock the world of coding with our Python Fundamentals for Beginners course—completely FREE! 🚀 Whether you're new to programming or want to brush up on your skills, this course has everything you need to get started.
Why Choose This Course?
✔️ 100% FREE—No hidden fees
✔️ Flexible learning at your own pace
✔️ Certificate of completion to boost your resume
✔️ Practical, hands-on learning with real examples
Don't miss out on this FREE opportunity to level up your skills!
Enroll Now : https://t.ly/Tr8gG
http://t.me/codeprogrammer
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✂️ CSV Trimming
CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.
There is no need for complex settings or large language models.
⭐️ Github
http://t.me/codeprogrammer 🔒
🔒 #deeplearning #AI #ML #python
CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.
There is no need for complex settings or large language models.
pip install csv_trimmingPython
import pandas as pd
from csv_trimming import CSVTrimmer
# Load your csv
csv = pd.read_csv("tests/documents/noisy/sicilia.csv")
# Instantiate the trimmer
trimmer = CSVTrimmer()
# And trim it
trimmed_csv = trimmer.trim(csv)
#That's it!
⭐️ Github
http://t.me/codeprogrammer 🔒
🔒 #deeplearning #AI #ML #python
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We are opening a VIP Group and i will add 77 members free for 1 month who join first. 🔥
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33 VIP link requests
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33 VIP link requests
https://t.me/+4bWrCKKnk_BiZGYx
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New course with @Intel! Multimodal RAG: Chat with Videos is available starting today!
Learn from @Vasudev_Lal to build an AI chat system that answers questions from video content!
Learn to:
📷 Create embeddings from videos
🧩 Build a RAG pipeline for data retrieval
💬 Use Large Vision-Language Models (LVLMs) for Q&A using both text and image inputs.
In this course, you will make API calls to access multimodal models hosted by @PredictionGuard on Intel’s cloud.
Enroll Free Here:
https://www.deeplearning.ai/short-courses/multimodal-rag-chat-with-videos/
http://t.me/codeprogrammer🔒
💡 #deeplearning #AI #ML #python
Learn from @Vasudev_Lal to build an AI chat system that answers questions from video content!
Learn to:
In this course, you will make API calls to access multimodal models hosted by @PredictionGuard on Intel’s cloud.
Enroll Free Here:
https://www.deeplearning.ai/short-courses/multimodal-rag-chat-with-videos/
http://t.me/codeprogrammer
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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.
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.
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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
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
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Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
Students can now access free Coursera scholarships through MAJOR.
Don't miss the opportunity: Click here.
Students can now access free Coursera scholarships through MAJOR.
Don't miss the opportunity: Click here.
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
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
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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
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
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@CodeProgrammer Data Science Cheat Sheets.zip
596.3 MB
Data Science Cheat Sheets
Quick help to make a data scientist's life easier✅
http://t.me/codeprogrammer🔒
💡 #deeplearning #AI #ML #python
Quick help to make a data scientist's life easier
http://t.me/codeprogrammer
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http://t.me/codeprogrammer
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🎁 Lisa has given away over $100,000 in the last 30 days. Every single one of her subscribers is making money.
She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
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1. Subscribe to her channel
2. Write “GIFT” to her private messages
3. Follow her channel and trade with her. Repeat transactions after her = earn a lot of money.
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She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
🧠 Do this and she will help you earn :
1. Subscribe to her channel
2. Write “GIFT” to her private messages
3. Follow her channel and trade with her. Repeat transactions after her = earn a lot of money.
Subscribe 👇🏻
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http://t.me/codeprogrammer
The Transformer's encoder clearly explained
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http://t.me/codeprogrammer
The Transformer's decoder clearly explained
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http://t.me/codeprogrammer
The Transformers architecture clearly explained
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