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.
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?
Krish sir already uploaded on this topic Please refer this link : ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-EqLBAmtKMnQ.html This is for feature selection by krish naik sir
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
