Really informative ☺️👍 I would request you to solve a ML problem implementing these pipelines. Here, we just acquired theoretical knowledge and in order to have thorough understanding we would want to see it practically. Pls pls cover it.
Krish sir already uploaded on this topic Please refer this link : ua-cam.com/video/EqLBAmtKMnQ/v-deo.html This is for feature selection by krish naik sir
Hey Krish! Got few questions 1. While doing feature selection you said we use Correlation, Heatmaps and other techniques but how do we visualize correlation if we have 100 or more features? I heard we use a technique called PCA for dimensionality reduction to reduce features isn’t it true? 2. Regarding the imbalanced dataset - let’s suppose taking the iris dataset as reference if I have 20 setosa and 60 versicolor records which are the dependent variables then we call them as an imbalanced dataset does imbalanced dataset only applies for dependent variables or does the same rule apply for independent variables too?
tell me how to handle a biased data set or techniques for example i have dataset having target categorical values as 0-9999 and another value as 1-1 in total 10000 rows how to handle this situation
I think that, once you've done some basic training, it's best to start working on a project, see where you get stuck, and study your way out of those problems. 😁 Data science skills vary across the problems you're working on: NLP, computer vision, IOT sensor data, business, etc. To use an analogy, let's say you want to become a scientist. You learn all about the scientific method, learn some math, etc. but that's not enough. You need to also choose the science field you want to become an expert in: a field of physics, or chemistry, etc. That's how it is with data science also: you can apply it to any field you can imagine. So, after you learn the basics (coding, statistics, linear algebra, calculus, and some data analysis tools and algorithms), choose a project you're interested in and figure out what advanced concepts you need to learn to complete that project. 😊 Best wishes.
@@sagarjoshi7981 Anytime. 😊 If you're looking for project ideas, you can try a competition site (like Kaggle, Topcoder, Analytics Vidyha, etc). Better yet, think of a problem you want to solve and figure out how to use data science to do so. It used to be hard for me to come up with ideas for problems to solve. Then I realized that all I had to do was read the local paper or watch the local news. They're constantly talking about problems that need to be solved. 😊
Sagar Joshi If you’re looking for a more comprehensive course which includes Math, Statistics, Probability along with ML, DL I would suggest you to look into appliedaicourse website the support and content is awesome I’m currently taking that course.
Hi sir I'm working as a Qlikview developer I'm planning to learn and change my career into data science please guide me I have send a message on twitter also
Sir, I completed my BSc.IT from SMU through correspondence, I don't have enough knowledge about the course and I am average in maths. I am very much interested in doing data science. Can I go for it?
Definitely by hard working any thing is possible you must believe in you and do anything . It may take a time but keep going learning and practicing in python through a data frame
Really informative ☺️👍
I would request you to solve a ML problem implementing these pipelines. Here, we just acquired theoretical knowledge and in order to have thorough understanding we would want to see it practically. Pls pls cover it.
Every single video on your channel is amazing , please keep them coming ! , Thanks
R u giving training on Data science? If yes am ready take.
Who disliked this. Such a great Content. Thank you much appreciated.
I am in debt with you sir...thank you. Please upload much more videos 🙏
Liked the video even before watching... Bcz u teach nd explain amazing👍👍
Once again great video
Bro Ur videos are always fab..
A very good and simple overview, easy to understand.
Nice Video on what Data Scientist will do in real-time.
Can you please make a video on the Feature selection topic.
Krish sir already uploaded on this topic
Please refer this link : ua-cam.com/video/EqLBAmtKMnQ/v-deo.html
This is for feature selection by krish naik sir
Are you a data scientist? because you went soooo deep. honestly very useful information
Awesome video
You cover wonderful. Topic please do put up more such knowledgeable videos
Your videos are very helpful
Hey Krish! Got few questions
1. While doing feature selection you said we use Correlation, Heatmaps and other techniques but how do we visualize correlation if we have 100 or more features? I heard we use a technique called PCA for dimensionality reduction to reduce features isn’t it true?
2. Regarding the imbalanced dataset - let’s suppose taking the iris dataset as reference if I have 20 setosa and 60 versicolor records which are the dependent variables then we call them as an imbalanced dataset does imbalanced dataset only applies for dependent variables or does the same rule apply for independent variables too?
great job
What ‘does’ a data scientist do?
Good job!
Good sir I want to u make data science lecture from begning to advance
Hello bro what is the difference between machine learning engineer and Data scientist?
Kindly make series of videos in Machine Learning ??
Hey you can watch the machine learning series by krish naik sir
Please refer this playlist :
ua-cam.com/play/PLZoTAELRMXVOnN_g96ayzXX5i7RRO0QhL.html
I havr started my learning from saturday sir
Did you complete yet
?
Thanks Man...You are making good content..can i contact you ? I have some doubts regarding data science..
tell me how to handle a biased data set or techniques for example i have dataset having
target categorical values as 0-9999 and another value as 1-1 in total 10000 rows how to handle this situation
Hi, it was nice video but i have questions that how can we explore more the Steps of 2,3,4
HI SIR, IN THE PLACE OF FLASK CAN WE USE THE DJANGO FRAMEWORK
Please suggest some good and in depth courses on data science
I have done basic training from internshala in data science .
I think that, once you've done some basic training, it's best to start working on a project, see where you get stuck, and study your way out of those problems. 😁 Data science skills vary across the problems you're working on: NLP, computer vision, IOT sensor data, business, etc.
To use an analogy, let's say you want to become a scientist. You learn all about the scientific method, learn some math, etc. but that's not enough. You need to also choose the science field you want to become an expert in: a field of physics, or chemistry, etc.
That's how it is with data science also: you can apply it to any field you can imagine. So, after you learn the basics (coding, statistics, linear algebra, calculus, and some data analysis tools and algorithms), choose a project you're interested in and figure out what advanced concepts you need to learn to complete that project. 😊 Best wishes.
@@BiancaAguglia thank you for your reply 🙏😄
@@BiancaAguglia I have done very basic projects
1. to predict that loan
2. to predict sales
@@sagarjoshi7981 Anytime. 😊
If you're looking for project ideas, you can try a competition site (like Kaggle, Topcoder, Analytics Vidyha, etc). Better yet, think of a problem you want to solve and figure out how to use data science to do so.
It used to be hard for me to come up with ideas for problems to solve. Then I realized that all I had to do was read the local paper or watch the local news. They're constantly talking about problems that need to be solved. 😊
Sagar Joshi If you’re looking for a more comprehensive course which includes Math, Statistics, Probability along with ML, DL I would suggest you to look into appliedaicourse website the support and content is awesome I’m currently taking that course.
What are the ways we can test accuracy in model deployment ?
I think data science and ML is not same thing. So what's the difference and what is their connection.
Bro how I make my learning path for Machine learning and Data scientist..
Sir tell me data scientist yearly package
What do you mean by feature. TIA
How much time it will take to be a data analyst and from a data analyst to data scientist?
Hi sir I'm working as a Qlikview developer I'm planning to learn and change my career into data science please guide me I have send a message on twitter also
What is the scope of data scientist in Indore?
Yash Technologies Indore works on Data Science
Sir I want to become data scientist but I had taken an internship of machine learning it will get any problems sir
Will I have to learn mathematics in graduation very deeply to be data scientist?
What doES a data scientist do?
Sir, I completed my BSc.IT from SMU through correspondence, I don't have enough knowledge about the course and I am average in maths. I am very much interested in doing data science. Can I go for it?
Definitely by hard working any thing is possible you must believe in you and do anything . It may take a time but keep going learning and practicing in python through a data frame
Sir I belong to m.sc biotech background.. Can I do data science course?plz help me sir.. I'm very much interested in this course
Yes u can
@@krishnaik06 in any domain can I join sir? can I contact you sir?
Grammar??
What's your salary and where do you work
don't ask salary,that's a private matter.
Check his LinkedIn instead to know where he works.
Can you plz share the free and paid third party API,S used in data warehouse stage...