sir, apko subscribe aur like ke liye bolne ki jrurt hi nhi hai.. main apki video dekhne se pehle like krta hu.. kyoki itna achha teaching method hai apka.. shayd hi kisi ka ho..aapki videos bahut impact dalti hai hmari education pr..you are my ideal.. many thank you sir!!
Thank you Rishabh bhai itni confusion ko itne easily way me ek project se clear kiye jisse beginners ko bahut help milega...🙏 Aise hi videos late rahiye... God bless you
Thank you, Rishabh bro, for all the efforts you take to make us understand new projects/programming language. The way you teach is really great because I do not learn jupyter previously, but now I have an idea that how this work. I'll practice this regularly and do some projects to understand more.
Thank @rishabh for creating this and all your videos. I love the simplicity of your communication. Sincerely the best Indian Data Analysis/Science RU-vid channel.
Hi Rishabh. In the EDA portion of the video you made a bar plot comparing purchasing power of men and women customers. You used groupby method on gender column and applied sum method on the amount column. You stated that this graph compares the purchasing power of the women v/s men. But what you did just compared the total amount paid by women v/s men. What I understand about purchasing power is that :- it is the spending power of men or women and so it should be the average amount spent by each women or men. So, I feel mean of amount column should have been taken instead of sum. Please correct me if I am wrong about my understanding of purchasing power.
Hi Rishabh, I have been following your videos from quite some time- learning data analytics. Those are amazing. Actually I am from commerce background ( I know maths only till class 8th) and it may sound funny but now I want to learn machine learning. How feasible it is learn those complex topics of maths and other subjects for machine learning. please reply.. thanks in advance.
Your teaching method is quite different, I came across hundreds of other RU-vidr's videos on data analytics projects but I found what I needed. This video has developed my interest in analytics. Keep it up, sir 🙏👍
@RishabhMishra Thank you very very much Sir for this wonderful project... I have always been hesitant and scared of solving projects on python but this project has really helped me to gain confidence in Python and motivates me to do more Python projects...I'm extremely thankful to you for making such amazing, crisp and informative contents.
I'm glad you liked it ✅️ Yes, i completely agree. Even though i realized that u could have used different types of charts. Next time will do that 👍 thanks for suggestion
why would learn if he doesn't know Python basics? this is not for begginers! ths is for who already know the basics and how to use the tools! I just fast through, it is good content.
Why not u put orders & amount sidebyside... Why separate graph for ऑर्डर्स and amout when they inseparable in one graph agewise, sexwise, professionwise, location wise that would provide accurate insight at one glance
Hi thanks for the video , i wanted to ask , while data cleaning 'why we deleted that 12 null values in amount column ?, we could fill that 12 null values in amount column through various statistical method.
Make a real life full project of data analytics using Excel, SQL, Power BI and python and we can add it to resume. And at the same time provide what would be required to be written in the resume! btw great effort
Bhai bahut accha parhaya hai Jo school college ke 10 saal barbaad kar ke bhi nahi parhaya gaya. Ljin use is ka hota hai aur woh bhi bilkul free.😢😢😢😂😂😂😂🎉🎉🎉❤❤❤❤❤❤❤
Yet another simplified project idea in the most simple and understanding language. Thank you Rishabh bro, for all the efforts you take to make us understand new projects/programming language. Kudos to you and your team, May you grow by each passing day and Shine High 😇 🌠
This is a great video for 2 reasons: 1. Great explanation. We can understand it very clearly 2. The data set has a lot of potential. Eventhough he did say that it was just for the beginners but anyone looking to add a good project to their portfolio can go beyond what was shown here. For example, try to figure out what is the most popular product category in each state
Wonderful.....Your all videos is unique amazing........❤❤❤❤...... ....... Very helpful..... Also made (python basic to advance) python course please in your language...... Your way of teaching is very good n easy to understand....🙏🙏🙏🙏please i would love to see next video on python course....
Very nice bhaiya ap bahut hi itminan se samjhate ho ... So please usig python with power bi avance level ke project banaiye please 🙏...hame ap ke lecture ka intzar hai
Excellent python project video. It cover clarity of each step. Pls make such more intermediate and advanced level projects. Waiting for next project video. Thanks sir❤
Rishav ji, the best video. I am working as data engineer. Ek request, stored procedure ke upper hindi me a bahut achha video chahiye. Bahut help hoga. Stored procedure bahut important hai ajj industry me. If possible please make. Thank you in advance. Great thanks
Hi Rishabh. I generally face a lot of problem during data cleaning using pandas while dealing with the datasets available on Kaggle. Could you make a video just showing the efficient ways to clean very messed up datasets from kaggle using pandas and other tools like power BI,Excel etc. Thanks, in advance.
You explain each and everything in layman's terms. I have actually started understanding logic behind the codes. I was looking out for a teacher like you from a long time. Thank you. I started my Business Analytics journey few months back and I believe that your videos are gonna help me a lot now.
Thankyou bhaiya aaj kagi kuch sikhne ko mila or kafi zayada knowlede bhi mili bahut sari insite mili that how thinks work on ground......................bsss.....aap se yehe request hai kii ek dedicated course bna doo ..........please ....................from Zero to Advance level in Data Analyst.............😊😊😊😊😊😊😊😇😇😇😇😇😇😇😇😇😇
Please give us more project experience in hand like this. Your explanation for every line in the code is very impressive which helps me to understand small stuffs very effectively.
