CampusX
CampusX
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ETL Pipeline in MLOps | Data Management in MLOps | CampusX
Playlist Link - ua-cam.com/video/H4fZ3HFv684/v-deo.html&ab_channel=CampusX
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Did you like my teaching style?
Check my affordable mentorship program at : learnwith.campusx.in
DSMP FAQ: docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw
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📱 Grow with us:
CampusX' LinkedIn: www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: campusx.official
My LinkedIn: www.linkedin.com/in/nitish-singh-03412789
Discord: discord.gg/PsWu8R87Z8
E-mail us at support@campusx.in
✨ Hashtags✨
#Datascience #mlops #CampusX #etl
⌚Time Stamps⌚
00:00 - Intro
01:34 - Revision
07:20 - An Important Question
11:20 - Data Management
23:50 - Data Storage
28:00 - Tools used for Data Management
31:10 - Task
Переглядів: 12 873

Відео

200K Special | Next 6 months roadmap | DSMP 2 Discount | CampusX
Переглядів 17 тис.14 днів тому
CampusX just hit 200,000 subscribers on UA-cam! This milestone wouldn't have been possible without your incredible support, engagement, and enthusiasm. Thank you for every view, like, comment, and share. Thank you for recommending our channel to your peers. Your support fuels our passion to provide quality education to everyone who seeks it. Heartfelt Thank you! [Update - 16th June 2024] : The ...
Layer Normalization in Transformers | Layer Norm Vs Batch Norm
Переглядів 7 тис.14 днів тому
Layer Normalization is a technique used to stabilize and accelerate the training of transformers by normalizing the inputs across the features. It adjusts and scales the activations, ensuring consistent output distributions. This helps in reducing training time and improving model performance, making it a key component in transformer architectures. Share your thoughts, experiences, or questions...
Flask for Machine Learning | New Course | CampusX
Переглядів 14 тис.21 день тому
Course Link - learnwith.campusx.in/s/store/courses/Free Courses 📱 Grow with us: CampusX' LinkedIn: www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: campusx.official My LinkedIn: www.linkedin.com/in/nitish-singh-03412789 Discord: discord.gg/PsWu8R87Z8 E-mail us at support@campusx.in ✨ Hashtags✨ #flasktutorial #flask #machinelearning #campusx
Positional Encoding in Transformers | Deep Learning | CampusX
Переглядів 12 тис.Місяць тому
Positional Encoding is a technique used in transformers to inject information about the position of tokens in a sequence. Since transformers lack inherent sequence order awareness, positional encodings enable the model to capture the order of words, crucial for understanding context. These encodings are added to the input embeddings, allowing the model to process and learn relationships based o...
GenAI Free Courses | AI Agents | RAGs | Stable Diffusion | Bonus - Power BI & Object Dectection
Переглядів 21 тис.Місяць тому
Link - learnwith.campusx.in/s/store Schedule - docs.google.com/spreadsheets/d/1axiqFB2wR6n2vWHiHH5u8vVHBiWysEwkk70YW6gI2tA/edit?usp=sharing Do you like my teaching style? Check my affordable mentorship program at : learnwith.campusx.in DSMP FAQ: docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw 📱 Grow with us: CampusX' LinkedIn: www.linkedin.com...
Free ML and DL Notes | 100 Days of ML Notes | 100 Days of DL Notes | CampusX
Переглядів 31 тис.Місяць тому
Link: learnwith.campusx.in/products#nav_bar Do you like my teaching style? Check my affordable mentorship program at : learnwith.campusx.in DSMP FAQ: docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw 📱 Grow with us: CampusX' LinkedIn: www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: campusx.official My...
Imbalanced Data in Machine Learning | Undersampling | Oversampling | SMOTE
Переглядів 9 тис.Місяць тому
Imbalanced data refers to datasets where the distribution of classes is heavily skewed, with one class significantly outnumbering the others. Dealing with imbalanced data is crucial as it can lead to biased models that perform poorly on minority classes. Addressing Class Imbalance with Undersampling, Oversampling, SMOTE, and Ensemble Methods. Imbalanced datasets pose challenges for machine lear...
What are Foundation Models? | Generative AI | In-depth Explanation in Hindi | CampusX
Переглядів 18 тис.2 місяці тому
Foundational models in gen AI are a type of machine learning (ML) model that is pretrained to perform a range of tasks. They have two defining characteristics: transfer learning and scale. Transfer learning refers to the ability of a model to apply information about one situation to another and build upon its knowledge. Scale refers to hardware, specifically, graphics processing units (GPUs), t...
What is Multi-head Attention in Transformers | Multi-head Attention v Self Attention | Deep Learning
Переглядів 12 тис.2 місяці тому
Multi-head Attention enhances the expressiveness and representational capacity of Transformers by allowing the model to attend to different parts of the input data simultaneously. By utilizing multiple attention heads, the model can capture diverse patterns and relationships in the data, enabling more effective information processing and feature extraction. This mechanism enhances the model's a...
How Did He Crack Data Scientist Job in Such Tough Job Market ? | Success Story 2024 | CampusX DSMP
Переглядів 49 тис.2 місяці тому
Share your thoughts, experiences, or questions in the comments below. I love hearing from you! Connect with Tarun on LinkedIn - www.linkedin.com/in/tarun-chauhan-719a9b221? Do want to learn from me? Check my affordable mentorship program at : learnwith.campusx.in 📱 Grow with us: CampusX' LinkedIn: www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: campu...
Answering Your Doubts | FAQ | Free Courses on CampusX | Starting 5th April | ML | DL | MLOps | GenAI
Переглядів 16 тис.2 місяці тому
In this video, we have tried to answer the most frequently asked questions asked by you guys. Feel free to drop any other questions you might have in the comment section. Update: We have started uploading recorded videos of the sessions, you can now watch the videos by enrolling in the course on our website [Link below]. Enroll now - learnwith.campusx.in/t/allcourses Schedule - docs.google.com/...
FREE DATA SCIENCE COURSES 2024 | PROJECT BASED COURSES | GEN AI | DEEP LEARNING | MACHINE LEARNING
Переглядів 40 тис.2 місяці тому
Namaste! CampusX family! We are very happy to announce 10 new project based free courses in emerging technologies on our website. We hope you make the most of this offering and share it with your friends who might be looking to make a solid portfolio. Happy Learning! 🙏 [Update]: We have started uploading recorded videos of the sessions and ipynb notebooks, you can now watch the videos by enroll...
Who is an AI Engineer | Rise of AI Engineer Role in 2024 | Data Scientist Vs AI Engineer in Hindi
Переглядів 97 тис.3 місяці тому
An AI engineer is a professional responsible for developing, programming, and training complex networks of algorithms that make up artificial intelligence (AI) to function like a human brain. AI engineers use AI and machine learning techniques to develop applications, systems, and tools that enable the application of AI in various fields such as finance, national security, healthcare, criminal ...
Why is Self Attention called "Self"? | Self Attention Vs Luong Attention in Depth Lecture | CampusX
Переглядів 10 тис.3 місяці тому
The term "self" in "self-attention" refers to the fact that the attention mechanism is applied to the same sequence or input, rather than relating an input to an output sequence. In other words, self-attention allows the model to learn about the relationships and dependencies within a single sequence, such as a sentence in natural language processing or a sequence of images in computer vision. ...
Self Attention Geometric Intuition | How to Visualize Self Attention | CampusX
Переглядів 12 тис.3 місяці тому
Self Attention Geometric Intuition | How to Visualize Self Attention | CampusX
Scaled Dot Product Attention | Why do we scale Self Attention?
Переглядів 13 тис.3 місяці тому
Scaled Dot Product Attention | Why do we scale Self Attention?
Master Jupyter Notebook with Python | End to End Tutorial with Tricks in Hindi | 2024 | CampusX
Переглядів 18 тис.4 місяці тому
Master Jupyter Notebook with Python | End to End Tutorial with Tricks in Hindi | 2024 | CampusX
Master Scikit-learn for Machine Learning | Sklearn Tutorial in Hindi | CampusX | DSMP Free Session
Переглядів 19 тис.4 місяці тому
Master Scikit-learn for Machine Learning | Sklearn Tutorial in Hindi | CampusX | DSMP Free Session
Self Attention in Transformers | Deep Learning | Simple Explanation with Code!
Переглядів 25 тис.4 місяці тому
Self Attention in Transformers | Deep Learning | Simple Explanation with Code!
What is Self Attention | Transformers Part 2 | CampusX
Переглядів 18 тис.4 місяці тому
What is Self Attention | Transformers Part 2 | CampusX
We Are Hiring Data Science Instructors | Remote Work | Opportunities at CampusX
Переглядів 13 тис.4 місяці тому
We Are Hiring Data Science Instructors | Remote Work | Opportunities at CampusX
Introduction to Transformers | Transformers Part 1
Переглядів 38 тис.4 місяці тому
Introduction to Transformers | Transformers Part 1
How to Overcome the Fear of Maths in Data Science? | Maths Roadmap for Machine Learning
Переглядів 16 тис.5 місяців тому
How to Overcome the Fear of Maths in Data Science? | Maths Roadmap for Machine Learning
Bahdanau Attention Vs Luong Attention
Переглядів 15 тис.5 місяців тому
Bahdanau Attention Vs Luong Attention
What is MLOps? | MLOps Explained in Hindi | End to End Explanation with Example
Переглядів 28 тис.5 місяців тому
What is MLOps? | MLOps Explained in Hindi | End to End Explanation with Example
Why Should You Learn MLOps in 2024? | Software Systems Vs ML Systems | MLOPs Roadmap
Переглядів 33 тис.5 місяців тому
Why Should You Learn MLOps in 2024? | Software Systems Vs ML Systems | MLOPs Roadmap
Data Science Roadmap for 2024 | 5 Levels | End-to-End Data Science Roadmap
Переглядів 54 тис.5 місяців тому
Data Science Roadmap for 2024 | 5 Levels | End-to-End Data Science Roadmap
Attention Mechanism in 1 video | Seq2Seq Networks | Encoder Decoder Architecture
Переглядів 25 тис.6 місяців тому
Attention Mechanism in 1 video | Seq2Seq Networks | Encoder Decoder Architecture
DBSCAN Clustering Algorithms | Density Based Clustering | How DBSCAN Works | CampusX
Переглядів 15 тис.6 місяців тому
DBSCAN Clustering Algorithms | Density Based Clustering | How DBSCAN Works | CampusX

КОМЕНТАРІ

  • @rajatchauhan4410
    @rajatchauhan4410 День тому

    Warning: If you come to this channel, you will get stuck and stay here!

  • @thesweekrith
    @thesweekrith День тому

    It's showing that np is not defined and giving the error

  • @dinosaur37
    @dinosaur37 День тому

    1:05:31

  • @inhibited44
    @inhibited44 День тому

    Thanks for uploading it. It helped. I was wondering what the accuracy of the model would be if you had only a portion of the kaggle model - like 100 entries in training and testing? I am taking photos to set up my own project and have 100 entries in training and testing thus far.

  • @chanakyapandey9624
    @chanakyapandey9624 День тому

    why am i getting below error? jackpot = random.randint(1,100) guess = int(input("Chal guess kar")) while guess != jackpot: if guess < jackpot: print("Guess higher") else: print("Guess lower") guess = int(input("Chal Guess Kar")) print("sahi Jawab") NameError Traceback (most recent call last) Cell In[6], line 1 ----> 1 jackpot = random.randint(1,100) 3 guess = int(input("Chal guess kar")) 5 while guess != jackpot: NameError: name 'random' is not defined

  • @chanakyapandey9624
    @chanakyapandey9624 День тому

    error q araha hai, random.randint(1,100) --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[3], line 1 ----> 1 random.randint(1,100) NameError: name 'random' is not defined

  • @SoothingSoundscapes_1
    @SoothingSoundscapes_1 День тому

    sir tags ko combine krny sae 5lakh words ksei bn skty hain mjy yh smj nahi a rahi kssi ko pata hy to kindly guide me 1:00:20 ??

  • @kindaeasy9797
    @kindaeasy9797 День тому

    maja aayaaaa , funnnn ,

  • @dinosaur37
    @dinosaur37 День тому

    26:06

  • @user-rl1zc9sy5r
    @user-rl1zc9sy5r День тому

    Before watching this video, i thought of skipping this video as I assumed that I already know many applications of ML but the way you explained all the examples from the various sectors (specially the Twitter one) was just AMAZING ...

  • @SHUBHAMSINGH-gh6ln
    @SHUBHAMSINGH-gh6ln День тому

    How can we use PCA in unsupervised ML model. I mean PCA is used to identify the important parameters which is influencing our output but in Unsupervised learning we don't have any output so on what basis we will do PCA 😢

  • @kindaeasy9797
    @kindaeasy9797 День тому

    20:11 pr if the derivative is 0 at a point it doesnt have to be point of minima , example f(x)=x^3 , the point where derivative is 0 is called a critical point , now a critical point colud be a point of minima, maxima , point of inflection as well , to figure it out you need to check more things , like change in sign of derivative ...

  • @subramanyakarthik5843
    @subramanyakarthik5843 День тому

    Hello currently there is no jobs on MLOPs and data science what's the use of learning this skills😓😓

  • @riyapandey5973
    @riyapandey5973 День тому

    How can i add anime and web series recommendation with a different section in the same website?

  • @amLife07
    @amLife07 День тому

    Again sirrr you are so amazing and one of the best teacher ✨🌟💯🌟

  • @RUPESHDUBEY-mt6tn
    @RUPESHDUBEY-mt6tn День тому

    Genuinely, you are among the best educators available for ML/DL.

  • @fullthrottlevishal
    @fullthrottlevishal День тому

    WHERE IS THE WHY PART

  • @amolhire9482
    @amolhire9482 День тому

    sir hum random features selection karenge aur us par value prediction bhi karenge dt se lekin agar hume testing / input data whole features ka mila toh prediction kaise hoga ? i think row sampling is fine but features sampling not understood .

  • @amanbahare5627
    @amanbahare5627 День тому

    Extremely helpful, Words cannot adequately express my appreciation for your help.

  • @amrinakter6857
    @amrinakter6857 День тому

    I see you are following "Machine_Learning_with_Scikit-Learn_Keras_and_Tensorflow_-_Aurelien_Geron" thats great

  • @shashwatkumar6499
    @shashwatkumar6499 День тому

    do we need an indepth understanding of the algorithms and the whole mathematics behind it or will the general idea suffice for this playlist ?

  • @Shubham_gupta18
    @Shubham_gupta18 День тому

    Hi Nitish, I hope this message finds you well. I have been following your 100 Days of ML and DL playlist from the beginning, and I must say, it’s been incredibly beneficial. The content is top-notch and accessible, making it one of the best resources available, especially given that it’s free of cost. I have a request regarding the DL playlist. It currently stops at transformers, but you had mentioned plans to cover GANs, Autoencoders, and VAEs in a video. With placement season approaching, having a thorough understanding of these topics is crucial for those of us preparing for roles in Data Science and related fields. Would it be possible for you to update the DL playlist with these additional topics? Your content has been instrumental in our learning journey, and completing the playlist would be immensely helpful. Thank you for all the amazing work you do

  • @Abdullah_Hamid247
    @Abdullah_Hamid247 День тому

    Love from Pakistan 🇵🇰 Sir Mai pehlay dusre channels se programming seekh raha tha ap ki videos shuru mai to kafi lambi lagi magar your teaching method is very much comprehensive than others

  • @akimech1
    @akimech1 День тому

    Kindly make complete list of mlops, yolo-8 , re enforcement learning sir

  • @akimech1
    @akimech1 День тому

    Kindly make complete list of mlops, yolo-8 , re enforcement learning sir

  • @raadonyt
    @raadonyt День тому

    ✨✨✨✨

  • @Aadicaptures-xk9zj
    @Aadicaptures-xk9zj День тому

    Sir please bring a project of black and white image colourizer using deep learning

  • @sharanyan3371
    @sharanyan3371 День тому

    Wow.. I completely understood time complexity without any doubts through this video. ekdum dimag me baith gaya

  • @lakshaybhati1234
    @lakshaybhati1234 День тому

    finally 100 videos completed

  • @jarasandhkumar6180
    @jarasandhkumar6180 День тому

    Hello sir! can you please provide code of this tutorial?

  • @mohammednadhim1918
    @mohammednadhim1918 День тому

    you have made a spelling mistake in notebook name @nitish

  • @KTTalks
    @KTTalks День тому

    honestly i have a DS course worth 2L but they even dont explained as you have

  • @dinosaur37
    @dinosaur37 День тому

    1:06:40

  • @AmitBiswas-hd3js
    @AmitBiswas-hd3js День тому

    Please cover this entire Transformer architecture as soon as possible

  • @anantanayak-mp3oi
    @anantanayak-mp3oi День тому

    thank you sir

  • @madhavgupta2059
    @madhavgupta2059 День тому

    I'm running this on vs code with macbook pro with 14-core GPU, but vs is using CPU, how to switch to GPU on vscode

  • @titaniumgopal
    @titaniumgopal День тому

    sir, apke videos bahut accha hain lakin ek chij ki kami rahati hain ki software mein AI funcionality hoti hain aaj kal most of Wide Application mein. So, I request you Please free course mein Tkinter ka schedule upload kare

  • @adityaraaz6074
    @adityaraaz6074 День тому

    next video???

  • @rahulaaseri6307
    @rahulaaseri6307 День тому

    when i like your video, the like number become 786.

  • @elonmusk4267
    @elonmusk4267 2 дні тому

    ggggggggggggggggggggggggggggggggggggggg

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    This is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    thanks❤

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful 🖤🤗

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    this is helpful ❤

  • @Amanullah-wy3ur
    @Amanullah-wy3ur 2 дні тому

    thanks ❤