The lecture is informative. But few suggestions 1. please do mention that no one uses such ( 01_ data_ingestion...) file names in live projects. 2. The structure/template is too complex... it can be simplified. 3. Use callable & typing to simplify flow and avoid creating objects for everything.
You are machine to make videos on data science sir ji.. Lots of love and respect on you. Thank you is very small word to describe your dedication to teach us.
Excellent! My comment is: Your updated requirements.txt file is well-suited for an MLOps project. It includes essential libraries for data manipulation, machine learning, visualization, web service creation, and more. BUT, by pinning versions and using a virtual environment, you ensure a reproducible and isolated environment for your project.
Hello Krish sir can you implement end to end project based on lang chain for any used case like question answering or text classification or ner or any which to use growing fast in field of LLM
Hi , I was going through the data validation code, I think you should add a ''break'' in the if statement otherwise it always gives the validation status of the last column. for col in all_cols: if col not in all_schema: validation_status = False with open(self.config.STATUS_FILE, 'w') as f: f.write(f"Validation status: {validation_status}") break else: validation_status = True with open(self.config.STATUS_FILE, 'w') as f: f.write(f"Validation status: {validation_status}") return validation_status
Thanks for the video Krish! Do you have tested different software like Aim, ClearML besides MLFlow? Tbf, I just want to log experiments and save the models :D
I think you should add data transformation steps as well in this and I have one doubt in general we do save preprocessing.pkl file and we call that in prediction pipeline and in while flask app as well please explain that thing as well
Greetings sir, I have a request, please mention the prerequisite of the end to end in description or comment box, I am a beginner and enrolled in Ds masters 2.0 course, get tempted by this end to end projects of yours but hesitate, do i have knowledge to understand this will i be able to do it? With al this question i avoid this projects
if you're a beginner i would suggest first focus on your data science skills (machine learning , numpy, pandas, matplotlib, sklearn etc..) and python, then when you feel confortable with your jupyter notebook and can do the basics steps of a machine learning project (EDA, cleaning the data, scaling/encoding the features, train a model and then make predictions) then you should be able to understand the full video (NB: watch krish video on docker before doing this project)
Hi Krish, there is a bug in the data validation schema it's working and checking last column only in the schema.yaml if we comment all the columns except last one then also validation status is true.
In all the videos by Bappy, he is speaking superfast, his intent is good but all the great information is lost because at the end his way of presentation is difficult to understand.
Hey sir> thanks for this video.we love your videos. I will keep it small. i had i issue while depolying error was "STOP AND REMOVE CONTAINER IF RUNNING" if anybody can know the issue plz comment down.Thanking again.
To create the Python environment write the following commands on your terminal- 1) (To create a new virtual environment) 2) (To activate your environment) 3) once you are in the environment run "" to install the packages
@krihnaik06 Hello, I am following the video series since long I did the projects also. but now I am facing following issue in data ingestion:- artifacts/data_ingestion folder created successfully but facing above issue.
I love you man,, your end to end projects, has given me a job,, all the way from Kenya
Awesome. How gichu. Can we connect over LinkedIn and talk more about.
This guy explanation is also good but we love when you make videos Krish Sir 🙌🏼
ThankYouSoMuch For Your Hardwork,
I restart my carrier 14 years back,its really really help to me.
Thanks alot
The lecture is informative. But few suggestions
1. please do mention that no one uses such ( 01_ data_ingestion...) file names in live projects.
2. The structure/template is too complex... it can be simplified.
3. Use callable & typing to simplify flow and avoid creating objects for everything.
Yes we normally use prepare, train and predict inside the src folder which encompasses everything
You are machine to make videos on data science sir ji.. Lots of love and respect on you. Thank you is very small word to describe your dedication to teach us.
Excellent!
My comment is:
Your updated requirements.txt file is well-suited for an MLOps project. It includes essential libraries for data manipulation, machine learning, visualization, web service creation, and more. BUT, by pinning versions and using a virtual environment, you ensure a reproducible and isolated environment for your project.
Krish, you are doing a great job. I have been following you since I started my journey in 2019.Thanks for such amazing contents.
Superb , I was actually struggling before in understanding the workflow , This was very helpful.
Thank you so much, Krish! Looking forward to the next End to End project!
One of the best End to End ML explaining
Thank you Sir for this video. It is really helpful for me.
Love the way bappy do the projects ❤❤🎉
Thanks for the amazng video and clear explanation!
Thank you so much! I enjoyed the project end to end, thanks for the video, you are the better!
a salute to the lecturer 🙌
We need this only…. Thank you 🙏
Bappy is teaching good excellent bappy
Krish explanation is more understandable
Hey Krish Naik, first of all thank you very much for the project, it is wonderful.
I also have a question, in your project where CT and CD/CI happen?
tq u krish for this video ❤❤
Sir please bring more lectures on langchain sir apart from these videos
Thank you soo much Sir ❤❤❤
@Krish sir when you will be release new project end to end implemented??
Hi Krish Naik i am kindly requesting for multi-output classification or regression👏👏👏
Hi Krish, is this the MLOPS flow you have explained? Can I treat this video as MLOPS training as well?
Yes
Hello Krish sir can you implement end to end project based on lang chain for any used case like question answering or text classification or ner or any which to use growing fast in field of LLM
You have mentioned continuous integration, continuous deployment but not continuous training in this project. How can we do these steps?
Hi , I was going through the data validation code, I think you should add a ''break'' in the if statement otherwise it always gives the validation status of the last column.
for col in all_cols:
if col not in all_schema:
validation_status = False
with open(self.config.STATUS_FILE, 'w') as f:
f.write(f"Validation status: {validation_status}")
break
else:
validation_status = True
with open(self.config.STATUS_FILE, 'w') as f:
f.write(f"Validation status: {validation_status}")
return validation_status
Thanks for the video Krish!
Do you have tested different software like Aim, ClearML besides MLFlow? Tbf, I just want to log experiments and save the models :D
Sir would you be able to do another python from scratch live sessions 7 days for python
Please SIr
Is this video available under Tech neuron courses?
Thank u 🙏 very usefull video
Krish, thank you a lot.
is this not classification project? why was rmse, r2 used as eval metric??
I think you should add data transformation steps as well in this and I have one doubt in general we do save preprocessing.pkl file and we call that in prediction pipeline and in while flask app as well please explain that thing as well
Greetings sir,
I have a request, please mention the prerequisite of the end to end in description or comment box,
I am a beginner and enrolled in Ds masters 2.0 course, get tempted by this end to end projects of yours but hesitate, do i have knowledge to understand this will i be able to do it?
With al this question i avoid this projects
if you're a beginner i would suggest first focus on your data science skills (machine learning , numpy, pandas, matplotlib, sklearn etc..) and python, then when you feel confortable with your jupyter notebook and can do the basics steps of a machine learning project (EDA, cleaning the data, scaling/encoding the features, train a model and then make predictions) then you should be able to understand the full video (NB: watch krish video on docker before doing this project)
Amazing project!
Can you make a detailed end-to-end project on Feature Stores for ML?
Hello how can i use AutoML - example paycaret or ather automl?
Please add data drift also..it's my request
good explanation
Sir in Data Analytics which are the core modules or tools we have to study ?
Python for data analysis, sql, excel and tableau (or power bi) for data visualization...
Python for data analysis, sql, excel and tableau (or power bi) for data visualization...
Very useful video, thank you. Can you please advise how to access the MLFlow UI when the whole thing is being run in a Docker container?
Lots of Love
I ran the main.py program with different parameters but mlflow only shows one and only the first one that I made. Need help with this
can you do a deploy in a local machine using onyl docker for example? Really good video !!!
how to make portfolio through github actions
Thank you krish
i saw you already create your conda env. can you tell me sir what python version you used?
Can you please help me on what environment you created on 11:50 ?
Thank you sir
where have you passes usename and password for MLFLOW when converting ipynb to modular code...coz I am unable to see an experiment in MLFLOW UI
I have the same problem. do you know how to solve it?
36:12 understanding workflow
Hi Krish, there is a bug in the data validation schema it's working and checking last column only in the schema.yaml if we comment all the columns except last one then also validation status is true.
Sir, at 24:12 git bash is returning error ImportError: cannot import name 'logger' from 'src.mlproject' (unknown location)
How can I resolve it?
instead of logger write logging in the code
not working@@rishijain9081
This is amazing!
In all the videos by Bappy, he is speaking superfast, his intent is good but all the great information is lost because at the end his way of presentation is difficult to understand.
Great job 👍
@krishnaik06, sir can you tel me how to set a value to target variable during data preparation?
Hey sir> thanks for this video.we love your videos. I will keep it small. i had i issue while depolying error was "STOP AND REMOVE CONTAINER IF RUNNING" if anybody can know the issue plz comment down.Thanking again.
Sir I am load to data ingestion but not correct to file path in yaml how to correct
Thanks!
Welcome!
Krish, why you use 2 mic? Just curious 😊
Paisa h bhai..next video m 4 mic lgega..
his wish. whats your problem?
@@geekyprogrammer4831 brother i am just asking. Is there anything tht i hve said ?
@@geekyprogrammer4831 u have a lot of attitude keep it in ur pocket dont show to others
@@mohsinkhan-bw3cd quiet
Awesome, thanks a lot
Some one explain what exactly the project is
Thank you!!!!!
👍🙏💯
hi thanks for this tutorial Bappy and Krish, I am facing this error"ImportError: cannot import name 'logger' from 'mlProject'; how to resolve it
write src.mlProject
Is it free or cost inducing ??
where MLFlow is Used in this video
Aise tutorials aur kaha mil sakte hai?
what is the MLfow tracking password is it same as dagshub?
Grt project. Could anyone help on how to install mlflow==2.2.2, ensure==1.0.2 and python-box==6.0.2 packages.
this project is not clear. there is an issue
I am getting error when trying to install requirements.txt " ERROR: Failed building wheel for pyarrow"
yes same, what did you do?
@@shubhambamane9445 same please let me know if you got it
me too did you find a solution?
Is EC2 free to deploy ?
Can anyone give me the project summary for Resume
Isn't it making complicated. It's okay to do few extra steps and keep all things separate. Other people will not understand.
sir how to open a terminal
How to join to data scince cource
Can some one tell how to ceate that mlproj environment with necessary package
Please tell the solution if you've got it
To create the Python environment write the following commands on your terminal-
1) (To create a new virtual environment)
2) (To activate your environment)
3) once you are in the environment run "" to install the packages
10 mins into it no explanation of what is use case , prediction of what
15:13 / 2:32:34
01:22:39
Bro, please speak English man. everything is ok but I have to mute and follow from subtitle.
Ok
okay
way too confusing
ok?
@krihnaik06 Hello,
I am following the video series since long I did the projects also.
but now I am facing following issue in data ingestion:-
artifacts/data_ingestion folder created successfully but facing above issue.
Yes even I am facing the same issue
Same error.
I think the zip file is downloading from GitHub. But in this video that zip file downloaded.
Hey,
Now my code is working fine.
Just restart computer and installed requirments once again.
It worked for me.