4.3. Handling Missing Values in Machine Learning | Imputation | Dropping

. In this video, I have explained about Handling Missing values using Python in Machine Learning. I have explained about Imputation and Dropping in Handling missing values.

Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
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[digigoliath]

Thanks. Very useful for a quick refresher of the techniques to deal with missing values.

[I_Anupam_Pandey]

Amazing explaination sir, all my doubts are clear

[jeezz]

I've watched all ur ML videos ... it was very helpful to me ... damn clr explanation ...keep going sir

[kelethabetseroberts]

You Sir are a very rare gem in these YouTube streets!🤍💫👏🏾

[karishmasewraj]

Can you plz make a video on handling categorical missing values with lots of unique values . Also how to put different datasets together with common columns that are in the other datasets that needs to be joined together.

[ashulohar]

Nice explanation but what to do for large dataset plz make a vedio on that

[Kevin-gzth]

Siddhardhan, This is a fantastic video. I just want to find out how to go about a dataset with fluctuating densities? How do you go about it? Do you use mean, median, or mode? Thank you so much

[criclal]

Hi, First of all the video was really helpful. But I noticed that in the head() function, the salary was NaN when the status was not placed. So I tried this: The output was such that the salary was NaN only when the status was not placed.. I mean the unique value was just "Not Placed". So I guess it will be correct to fillna with 0 instead of median, mode or mean. I understand that you have made this video for just understanding purpose but just telling what I tried. Thanks for the video, very helpful!

[jeezz]

Bro plz make videos on outlier detection nd removal techniques

[studystuffs]

Dataset was not correctly read.
Salary column has direct dependency with status column.
Student with status not placed salary should have been replaced with 0 not by any mean, median, mode.
As far my understanding only the outlier satisfying all the dependency should be replaced with any of other methods.
Please correct me if I'm wrong on this?

[hishnew]

If someone is not placed... How does replacing their empty salary with median of the salary make sense? Shouldn't be replaced with Zero??

[meenakaria]

I see following warning "FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy" --> Can you please show me modified code snippet that works without inplace method?

[venkatprabhu]

siddhardh ji can you please make a series of videos for explaining each machine learning algorithms

[mungamurisitaramnikhil]

what to do when I have empty rows in date columns and almost 90 percent of the dates are empty,

[sachinvithubone]

I have data around 20000 and missing values only 23 so I can drop those row? It's good or need to be fill nan value?

[AliSher-kvpd]

Bro, I am not understanding that what arguments we have to choose when we call a method of a library and how we come to know that which argument we have to choose and what is its purpose, i have read the method documentation but I can't understand plz tell me, i am continuously watching your course and now i am on 4th module Preprocessing topic

[amitbudhiraja]

Hi sir,
Sir if are given the regression problem and we have the missing values in the data . Then can we use the regression models like KNN regresor, Random Forest Regressor to find the missing values ?
and then solve our actual problem
Is this the right approach?

[ankushgupta]

Don't we use pandas profiling for EDA

[PAVANSIDEAS]

Sir but you added a salary to the person who is not placed it lead to wrong data.

[kaushikdwivedi]

What about handling missing values in catogoercal type of columns