Hey Everyone, I have just added a sample dataset as it was highly requested by all of you. Please checkout the link in the description, also the second part of the video is going live tomorrow, please add it to your wait list so you get notified once it gets live. I will upload the upcoming parts very soon, stay tuned, thanks.
@@AbishekGocool Hey Abhishek, thanks for the comment. The second part of this project is live, feel free to check that out. Also I have added the dataset link for practice.
Sir I was choosing the UPI fraud transaction detection project in my final year, I can't see any detail explaining video all above the Internet. I am very tenseed how I could complete my project Then, by the gods sheck, your video is come. And now I have a relief to complete my project. Thank you very much Sir .💖Sir when the next part will be come?
Hi Rohit, Thanks for commenting. I'm glad you found it helpful. I've been tied up at work lately, stay tuned for the upcoming parts. They'll be uploaded this week.
Hi Azim, It'll take 3 hours more worth of work to complete the project. Now it might be 30 minutes each or 1 hour each. I'll be uploading the upcoming parts soon. Stay tuned.
@@pratikjugantmohapatra18 hello, I have added the dataset link, please check. Also the second part of this project is live, feel free to check that out.
@@rohitjana7461 No, the EDA will be similar. But the model selection for your project will depend on few things like: size of the dataset, relationship between independent features, are your features mostly numeric or categorical. If your data has more numerical columns, you can try logistic regression, in my project most data is categorical, hence I have chosen other models. Feel free to ask more questions
Hey Everyone,
I have just added a sample dataset as it was highly requested by all of you. Please checkout the link in the description, also the second part of the video is going live tomorrow, please add it to your wait list so you get notified once it gets live. I will upload the upcoming parts very soon, stay tuned, thanks.
This is good
Nice Video #Dataanalysis #beginners
great video bro❤
Thanks for the visit ❤
Hi Anuj, here supporting you from MIT group.
When are you uploading upcoming parts please?
From the first 2 mins I could analyse you need to add timestamps & provide datasets for practice. Seems a good ML series.. you got a subscriber 🎉
@@CarlosVolpe-w1n noted
Agreed
Awesome ❤❤
Great Video!!
@@vrvvideo I'm glad you found it useful 😊.
Sir this video is too good , can you please make a project video for resume too ?
@@xglobe-by1zq working on it. Stay tuned.
@@xglobe-by1zq part 2 of this project is also live, check that out as well
Hey this is a great vedio. Your explanation is clear and insightful. Waiting for the upcoming parts.
@@AbishekGocool Hey Abhishek, thanks for the comment. The second part of this project is live, feel free to check that out. Also I have added the dataset link for practice.
Hey this was amazing way you explained…I am an aspiring data analyst this was gem of a content thanks so much for uploading…
I'm very happy you got some value from it. Thank you for your feedback 😊
This is the first ever comment on my channel though, means alot 😅
@@AnalyticalAnuj Great that was really helpful…can you make some insides on resume building for fresher data analysis
Noted
Please share your thoughts and suggestions here.
nice work...C ould have been bettter if u could give the data set to workalong
That was an amazing video
Eagerly waiting fir the next part, can you tell me when should I expect it?
Hey,
I'm glad you found it helpful. Next parts will be coming this week.
Stay tuned.
Sir I was choosing the UPI fraud transaction detection project in my final year, I can't see any detail explaining video all above the Internet. I am very tenseed how I could complete my project Then, by the gods sheck, your video is come. And now I have a relief to complete my project. Thank you very much Sir .💖Sir when the next part will be come?
Hi Rohit,
Thanks for commenting. I'm glad you found it helpful.
I've been tied up at work lately, stay tuned for the upcoming parts.
They'll be uploaded this week.
✌✌✌✌✌
can you share dataset link
@@dnyanadaninave6428 hey, thanks for the comment. I hope you got value from the video. Please refer to the pinned comment for more info.
How many parts will it takes to completely develop this project and how long it'll take you to upload them?
Hi Azim,
It'll take 3 hours more worth of work to complete the project.
Now it might be 30 minutes each or 1 hour each.
I'll be uploading the upcoming parts soon. Stay tuned.
Could you tell me from which site i can download the full dataset, please give me link
@@debapriyosengupta2062 I created this data myself. It's not open source.
@@AnalyticalAnuj ok ok
Dataset ??
@@pratikjugantmohapatra18 hello, I have added the dataset link, please check. Also the second part of this project is live, feel free to check that out.
Link to download the dataset?
@@karthikeyapervela3230 hello, I have added the dataset link, please check. Also the second part of this project is live, feel free to check that out.
Can you share the data file?
@@amiyendrasenapati1452 hello, I have added the dataset link, please check. Also the second part of this project is live, feel free to check that out.
Dataset Link sir
@@rohitjana7461
Hi,
Dataset is not open source hence couldn't share it. However, you can check similar datasets to complete your project.
OK sir then EDA path will be little bit different but pipeline, data_ingestion are the same as you do?
@@rohitjana7461 No, the EDA will be similar. But the model selection for your project will depend on few things like: size of the dataset, relationship between independent features, are your features mostly numeric or categorical.
If your data has more numerical columns, you can try logistic regression, in my project most data is categorical, hence I have chosen other models.
Feel free to ask more questions
@@rohitjana7461 hello, I have added the dataset link, please check. Also the second part of this project is live, feel free to check that out.