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DSwithBappy
Приєднався 27 кві 2021
This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, etc. in English. "Real creativity won't make things more complex. Instead, I will simplify them." I have been working in the Data Science field, spearheading in machine learning, deep learning, and computer vision. Typically this is my UA-cam channel where I clarify different themes on machine learning, deep learning, and AI with numerous real-world issue scenarios. My primary point is to create everybody commonplace of ML and AI. Please subscribe and support the channel. As I come up with new innovations. These recordings are free and I guarantee to create more curiously substance as we go ahead.
😀Please donate if you want to support the channel through Buy me a coffee: www.buymeacoffee.com/dswithbappy
Please feel free to drop a mail for any Item unboxing and any other collaboration.
😀Please donate if you want to support the channel through Buy me a coffee: www.buymeacoffee.com/dswithbappy
Please feel free to drop a mail for any Item unboxing and any other collaboration.
How to Setup NVIDIA GPU For Deep Learning | Installing Cuda Toolkit And cuDNN
In this video, we walk you through the entire setup process for utilizing your NVIDIA graphics card (GPU) for deep learning tasks. We'll cover essential installations like:
- The latest NVIDIA GPU Drivers for optimal performance
- CUDA Toolkit, the core library for GPU programming
- cuDNN, the deep learning accelerator for CUDA
📌Setup Github: github.com/entbappy/Setup-NVIDIA-GPU-for-Deep-Learning
Check out my other playlists:
► End To End Data Science Projects Implementation: ua-cam.com/play/PLkz_y24mlSJaGcOXgJSuMM62sFha4fank.html&si=L0O96gFeduHCEVdi
► MLflow For Data Science | MLOps: ua-cam.com/play/PLkz_y24mlSJZrqiZ4_cLUiP0CBN5wFmTb.html&si=mOOoyy6gcNmG3IqS
► The Complete Self Driving Car Course: ua-cam.com/play/PLkz_y24mlSJawbZz-fJrrxZi0QNmJ5aP6.html&si=iC2PZhLG5Q5J3tF6
► Object Detection Using YOLO v6: ua-cam.com/play/PLkz_y24mlSJY3H0WZGY2XKvuFdvkJS9oM.html
► Object Detection Using YOLO v7: ua-cam.com/play/PLkz_y24mlSJagh6O2MIrgI-Ki-t1rhjLI.html
► Sign Language Detection Using YOLO v5: ua-cam.com/play/PLkz_y24mlSJYWpwFbU8fyaBSwihoVHiJz.html
►ONNX (Open Neural Network Exchange): ua-cam.com/play/PLkz_y24mlSJZJx9sQJCyFZt50S4ji1PeR.html
😀Please donate if you want to support the channel through Buy me a coffee: www.buymeacoffee.com/dswithbappy
This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, etc. in Bangla and English.
My mission is to provide inspiration, motivation & good quality education to students for learning and human development, and to become an expert in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, and so on.
#dswithbappy aims to change this education system of Bangladesh.
I believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. My aim is to bring quality education to every single student. All I need from you is intent, a ray of passion to learn.
Thanks!
#dswithbappy
Connect with me here:
Twitter: bappy913873
Facebook: groups/dswithbappy
instagram: entbappy
linkedin : www.linkedin.com/in/boktiarahmed73/
Github: github.com/entbappy
🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY UA-cam CHANNEL
- The latest NVIDIA GPU Drivers for optimal performance
- CUDA Toolkit, the core library for GPU programming
- cuDNN, the deep learning accelerator for CUDA
📌Setup Github: github.com/entbappy/Setup-NVIDIA-GPU-for-Deep-Learning
Check out my other playlists:
► End To End Data Science Projects Implementation: ua-cam.com/play/PLkz_y24mlSJaGcOXgJSuMM62sFha4fank.html&si=L0O96gFeduHCEVdi
► MLflow For Data Science | MLOps: ua-cam.com/play/PLkz_y24mlSJZrqiZ4_cLUiP0CBN5wFmTb.html&si=mOOoyy6gcNmG3IqS
► The Complete Self Driving Car Course: ua-cam.com/play/PLkz_y24mlSJawbZz-fJrrxZi0QNmJ5aP6.html&si=iC2PZhLG5Q5J3tF6
► Object Detection Using YOLO v6: ua-cam.com/play/PLkz_y24mlSJY3H0WZGY2XKvuFdvkJS9oM.html
► Object Detection Using YOLO v7: ua-cam.com/play/PLkz_y24mlSJagh6O2MIrgI-Ki-t1rhjLI.html
► Sign Language Detection Using YOLO v5: ua-cam.com/play/PLkz_y24mlSJYWpwFbU8fyaBSwihoVHiJz.html
►ONNX (Open Neural Network Exchange): ua-cam.com/play/PLkz_y24mlSJZJx9sQJCyFZt50S4ji1PeR.html
😀Please donate if you want to support the channel through Buy me a coffee: www.buymeacoffee.com/dswithbappy
This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, etc. in Bangla and English.
My mission is to provide inspiration, motivation & good quality education to students for learning and human development, and to become an expert in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, and so on.
#dswithbappy aims to change this education system of Bangladesh.
I believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. My aim is to bring quality education to every single student. All I need from you is intent, a ray of passion to learn.
Thanks!
#dswithbappy
Connect with me here:
Twitter: bappy913873
Facebook: groups/dswithbappy
instagram: entbappy
linkedin : www.linkedin.com/in/boktiarahmed73/
Github: github.com/entbappy
🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY UA-cam CHANNEL
Переглядів: 424
Відео
Best PC Build For Data Science | Specifications & Recommendations
Переглядів 4997 годин тому
Best PC Build For Data Science. In this video, we're diving deep into the ultimate PC build tailored specifically for data science enthusiasts and professionals. Whether you're handling massive datasets, running complex machine learning models, or simply want a powerhouse that can keep up with your demanding workloads, this guide will help you build the perfect machine. Check out my other playl...
Learn How to use Falcon - Open Source LLM model
Переглядів 30721 годину тому
Falcon has landed! This groundbreaking open-source Large Language Model (LLM) is making waves in the AI community. In this video, we'll dive deep into how YOU can leverage Falcon's capabilities for your own projects. Whether you're a developer, writer, or just curious about AI, this video is your one-stop shop to mastering Falcon. Check out my other playlists: ► Complete Python Programming: ua-...
End-to-end Generative AI Project with LlamaIndex
Переглядів 551День тому
Welcome to our comprehensive guide on building an end-to-end generative AI project using LlamaIndex! this video will provide you with valuable insights and practical skills to master generative AI. Check out my other playlists: ► Complete Python Programming: ua-cam.com/play/PLkz_y24mlSJaY8YuDJniDw-naFVMac-3k.html ► 100 Days of Machine Learning playlist: ua-cam.com/play/PLkz_y24mlSJY0Zh22f4n_sOv...
Object Detection Project | Custom Model Training
Переглядів 710День тому
Welcome to a comprehensive guide on Object Detection Project and Custom Model Training! 🚀 In this video, we'll take you through the process of developing a custom object detection model from scratch, perfect for beginners and experts alike. Check out my other playlists: ► End To End Data Science Projects Implementation: ua-cam.com/play/PLkz_y24mlSJaGcOXgJSuMM62sFha4fank.html&si=L0O96gFeduHCEVdi...
How to build Generative AI Application using LlamaIndex - An alternative framework of LangChain
Переглядів 405День тому
In this tutorial, we’ll dive deep into building a generative AI application using LlamaIndex, a robust alternative framework to LangChain. Whether you're a beginner or an experienced developer, this step-by-step guide will help you create powerful AI applications efficiently. Check out my other playlists: ► Complete Python Programming: ua-cam.com/play/PLkz_y24mlSJaY8YuDJniDw-naFVMac-3k.html ► 1...
End-to-end Generative AI Project with LangChain, LLMs, VectorDB & Streamlit
Переглядів 1,5 тис.День тому
🚀 End-to-end Generative AI Project with LangChain, LLMs, VectorDB & Streamlit 🌟 Welcome to an exciting journey into the world of Generative AI! In this comprehensive tutorial, we'll guide you through building a powerful Generative AI project from scratch using LangChain, Large Language Models (LLMs), VectorDB, and Streamlit. Check out my other playlists: ► Complete Python Programming: ua-cam.co...
Learn How to use Google PaLM 2 - Open Source LLM model
Переглядів 8302 місяці тому
Welcome to our comprehensive guide on mastering Google PaLM 2, the revolutionary Open Source Large Language Model (LLM). In this tutorial, you'll delve into the depths of Google's cutting-edge language processing technology and harness its power for your projects and endeavors. 📌Code: github.com/entbappy/Complete-Generative-AI-Course-on-UA-cam Check out my other playlists: ► Complete Python Pro...
Introducing Open Source LLM Models - Learn Llama 2
Переглядів 1,1 тис.2 місяці тому
Welcome to "Learn Llama 2" - your gateway to open-source Large Language Models (LLMs)! In this video, we're thrilled to introduce the revolutionary concept of Open Source LLM Models. 🚀 What is "Learn Llama 2"? 🚀 "Learn Llama 2" is your go-to resource for exploring the vast landscape of open-source LLM models. Whether you're a seasoned developer or an aspiring AI enthusiast, this platform empowe...
Train Object Detection Model with Detectron2 on Custom Data
Переглядів 5 тис.4 місяці тому
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Live Detection Inferencing with YOLOv8 & Supervision 🚀
Переглядів 1,6 тис.4 місяці тому
Live Detection Inferencing with YOLOv8 & Supervision 🚀
End to end Object Detection with Transformers 😲🚀
Переглядів 2 тис.4 місяці тому
End to end Object Detection with Transformers 😲🚀
Annotate Data with a Few Clicks using (SAM) Segment Anything Model in Roboflow
Переглядів 1,1 тис.4 місяці тому
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Training Yolo v5 on Custom Dataset for Object Detection | Roboflow Universe & Workspace
Переглядів 7 тис.5 місяців тому
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Auto Image Annotation using Autodistill 😲🚀 | Computer Vision
Переглядів 3,9 тис.5 місяців тому
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How to Perform Detection, Tracking & Counting Objects using YOLOv8 & Roboflow Supervision
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How to train English to Hindi Language Translator Model using Transformers | Hugging Face 🤗
Переглядів 12 тис.Рік тому
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03. How To Setup MLflow Experiments with AWS | MLOps
Переглядів 5 тис.Рік тому
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02. Setting Up MLflow Experiments To a Remote Server | DagsHub | MLOps
Переглядів 4,9 тис.Рік тому
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01. Introduction To MLflow | Track Your Machine Learning Experiments | MLOps
Переглядів 23 тис.Рік тому
01. Introduction To MLflow | Track Your Machine Learning Experiments | MLOps
@dswithbappy You have not instructed to activate Conda environment inside git bash. none of the python commands would run. Please add that part in the video.
Please also include ubuntu in your next video list.
can you please start genai project parallely . Thank you for your so much valuable videos. Your Videoes are so valuable somuch details.
Amazingly explained thank you for the free and amazing content make next playlist with the more advanced tools or use the tools which is used by the industry like docker Kubernetes etc. Thank you and keep it up
@4:20 Session starts
very wrong choices you made
Your MLOps videos are outstanding! The way you break down complex concepts and present them in line with industry standards is truly impressive. Your content is not only informative but also highly engaging, making it accessible for professionals at all levels. Keep up the fantastic work!
Glad you like them!
Thank you. Could you also create a video for TF with WSL?
thank you 🙏
@5:40 Lecture start
It's helps a lot, thanks
😀
amazing session just one more request after all the complete project just explain the summary once thus it will easy for the understanding
I am getting an error keyError:'name' while i am running the "bentoml build". can you please help?
6:25 Lecture Starts
Very helpfull
Very Helpful Session !!!
Glad to hear that!
Hi Bappy, Great tutorial, can change from yolov8 to yolov5? Thanks. !pip install -q \ autodistill \ autodistill-grounded-sam \ autodistill-yolov5 \ roboflow \ supervision==0.9.0 Also, can this be valid? from autodistill_yolov5 import YOLOv5
awesome session
thanks :)
Thank u for the session 😊
😃
Sir i am getting error in line keras. models import load_model
project is nice sir
try to the project handling missing values and duplicates and outliers
Hi @Bappy, Do you have any previous full stack Data science Classes, can you share and try to do the courses Udemy
06:30 - Start
can you make step by step tutorial on how to connect nvidia gpu to be used in tensorflow machine learning in VSCODE, i have troubles creating my environments in conda, please help
Amazingly Explained Loved the session keep it up havent attended the live yet catching it up absolutely amazing content
thanks :)
Iam getting output image in runs folder
Absolutely nailed it, boss ! Loved every moment. Will try to catch the next live session.
Awesome thank you!
Brother Can u give a complete code of this project?
Appreciate your knowledge and teaching style. Great connect indeed
My pleasure!
Sir plzzzz cover complete mlops
Quick and to the point. Thanks a lot.
ModuleNotFoundError: No module named 'scipy.sparse._csr'
Hello Bappy - It is generally advisable to perform the train-test split before feature encoding and scaling. please share your suggestion
hello bapby ... when will be next live mlops project?
Hello - when can we expect next video on MLOPs - US visa project
Bappy , I am daily waiting for Day 5 MLOPS Production ready… 😊
sir r u from bangla desh
When is the next live for mlops project?
Awesome videos !!
Thanks!
Thank you brother. Excellent content. Can you please drop a schedule to something before you go live so that we can be ready ?
Abhe chotee hindi mn bana
What did you build the interface with? What are those 'report_type = st.selectbox...' lines? What package do they come from? L.E. figured it out, its streamlit. Another question: you're only using llama-index, you're not implementing RAG, right?
keep creating more such projects on mlops , llmops it will be helpful and there is not much content related to this so than you very much
Amazing work to the point
Your lectures are awesome When is the next video coming out ?
code?
This content is excellent for data science learners. Keep up the great work!
What about popularity based recommendation system 3:40?
Thanks a lot for your effort.
Can you make some videos for good computer vision projects??