Live Day 1- Exploratory Data Analysis And Stock Analysis With Time series Data

Hello Guys,
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4. Live session coming soon(Mostly till Feb)
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[sourabh_bhatt]

I must say krish is doing this all for future data scientist. Great efforts sir. You each and every content is for future generations, for future data scientists. You are not creating videos, you are creating gems 💎

[vihaanmeshram-mh]

I am watching this session in 2024 and this is so helpful for my master's project, I am so thankful for krish teaching this session

[thumma]

Best Data Science teacher. 2 full days gone in just watching through all amazing tutorials

[debashissinha]

The way, simple and lucid manners he explains from complex to simple is outstanding !!

[maxwellpatten]

This guy is excellent. Always a pleasure to watch his videos.

[balusister]

Krish, you are really great teaching systematically and with ease of understanding. I paid lacs of rupees in one of IIIT, but they dont teach like this, and dont bother whether you learn or not. It goes as a self paced, and the code they have done very old. you are doing very great for many people. ❤❤❤thank you.

[saisaravanank]

Those who are trying with Google Colab. Execute this command first.
pip install --upgrade pandas pip install --upgrade pandas-datareader

[vishnuprakash]

Absolutely amazing lecture. Kept me engaged.

[prashantpal]

Amazing content... You are the person that motivates me to go for data science

[flutterflowhack]

I love your content . Thank you for doing this

[tagoreji]

Sir Thank you so much for this Informative Session. It was a Very good practical class.

[bhabanisankardash]

Grt work...Thank u for the contribution

[marinathea]

Thank you so much! I love it! I's so helpful!

[saikiranmaddukuri]

great fan of you your videos are really helping me out

[parthparmar]

perfect session for time series loved it😊

[andregulyi]

Thank you for supporting Ukraine. You are an amazing DS teacher!

[ashutoshpandey]

Amazing video krish..I JUST WANT TO THANK YOU..

[vadimcosman]

Hmmm, expected more core content like (how to check for trends, seasons, cyclicity, what to do with them and why). As well, what about basic statistics? covariance, correlation, variance, missing values, outliers/anomalies?? Getting to understand if a specific value for a feature can happen/make sense.
In the real world EDA would mean to do this before jumping into any modelling techniques. 😏

[gh]

Thank you so much sir. These live sessions are very helpful

[hamzaarain]

I m data scientist but still this help me alot