I pray to god in temples and witness him live on this RUclips channel. Thanks A lot Siddhardhan Anna. Your videos are precious treasures and i am 100% sure this channel will reach great heights
00:02 Pandas is essential for data processing and analysis in machine learning. 01:56 Introduction to using Pandas library in Python for data manipulation 06:15 Pandas helps import unstructured data into a structured table 08:38 Loading data and displaying sample in Pandas Dataframe 13:18 Understanding diabetes labeling in the dataset 15:43 Converting a Pandas dataframe to a CSV file. 20:08 Creating and inspecting a Pandas DataFrame 22:19 Understanding Pandas Dataframe functions 26:05 Counting and grouping values based on labels 28:15 Grouping values based on mean for diabetic and non-diabetic people 32:44 Describe function for statistical measures and exploratory data analysis 34:31 Adding a column to a DataFrame with matching values 38:25 Locating specific rows and columns in a Pandas dataframe 40:36 Printing specific columns from a Pandas DataFrame 44:36 Understanding correlation in data frames 46:12 Explained creating, inspecting, manipulating, and finding correlation in Pandas DataFrame.
brother thank you so much for your effort in supporting and sharing the concept behind the ML. If possible, I wanted to ask if you can also do a video using scikit learn library. thank you
@@pranshujoshi009 Alternative datasets include the California housing dataset and the Ames housing dataset. You can load the datasets as follows:: from sklearn.datasets import fetch_california_housing housing = fetch_california_housing() i am trying to this right now. and this is from the error explanation of import load_boston on google collab
Hi @siddhardhan, thanks for the great content. I just wanted to ask that what is the right way to learn this tutorials. I mean to say that are we just suppose to watch the videos or write the codes by ourselve. Can you kindly clarify. Thanks again
firstly sir i want to thank you sir for starting this channel i came across to this through linkdin and sir i want to ask you that i have made some projects from your videos, can i put them in my resume and sir can i upload complete code of those projects on github
hi! yes, if you practiced the code by yourself and you understand it completely, then you can definitely put it in your resume. but don't put it in GitHub. if you made the code from scratch by yourself, then you can put it. And I don't expect you to give credits to me in your GitHub or anywhere else. I am happy that people are learning from my content and I don't expect anything else. thanks 😇
hi! no, you will get all the columns of 3rd row as the index of third row is 2. try the following code: import numpy as np arr = np.array([[1, 2],[3, 4],[5,6]]) print(arr[2,:])
@@Siddhardhan Bro, congratulations on reaching 12k subscribers! This is just the start, you just see in the future, your YT Channel will be super famous!
I pray to god in temples and witness him live on this RUclips channel. Thanks A lot Siddhardhan Anna. Your videos are precious treasures and i am 100% sure this channel will reach great heights
that's too much praise for me 😅 thanks a lot for your positive words.
@@Siddhardhanyou deserve this❤
Your Videos are Awesome and Very well Explained.. Keep up the Good Work!!!!
Thanks a lot!😇
Literally, you are providing amazing content, this helps me a lot in understanding the concept easily
Thank you from the bottom of my heart❤
Happy to hear that!😇
how to get this botson dataset ?
00:02 Pandas is essential for data processing and analysis in machine learning.
01:56 Introduction to using Pandas library in Python for data manipulation
06:15 Pandas helps import unstructured data into a structured table
08:38 Loading data and displaying sample in Pandas Dataframe
13:18 Understanding diabetes labeling in the dataset
15:43 Converting a Pandas dataframe to a CSV file.
20:08 Creating and inspecting a Pandas DataFrame
22:19 Understanding Pandas Dataframe functions
26:05 Counting and grouping values based on labels
28:15 Grouping values based on mean for diabetic and non-diabetic people
32:44 Describe function for statistical measures and exploratory data analysis
34:31 Adding a column to a DataFrame with matching values
38:25 Locating specific rows and columns in a Pandas dataframe
40:36 Printing specific columns from a Pandas DataFrame
44:36 Understanding correlation in data frames
46:12 Explained creating, inspecting, manipulating, and finding correlation in Pandas DataFrame.
thank you very much
brother thank you so much for your effort in supporting and sharing the concept behind the ML. If possible, I wanted to ask if you can also do a video using scikit
learn library. thank you
load_boston has been removed in sklearn
yes bro i was also confused why it wasn't working
@@pranshujoshi009 Alternative datasets include the California housing dataset and the
Ames housing dataset. You can load the datasets as follows::
from sklearn.datasets import fetch_california_housing
housing = fetch_california_housing()
i am trying to this right now. and this is from the error explanation of import load_boston on google collab
That also confused me
Then I replace with housing
Yes it has been removed now you can use housing dataset instead of that. When u get error then this suggestion will come.
The tutorial was very helpful .. Thank You
I am loving the series. Greetings from Spain!
Thank you 😇
Hi @siddhardhan, thanks for the great content. I just wanted to ask that what is the right way to learn this tutorials. I mean to say that are we just suppose to watch the videos or write the codes by ourselve. Can you kindly clarify.
Thanks again
Superb 👍
Thanks 🤗
How to get botson dataset?
the best
In 35:52, if we enter a single element into the column, will the other 505 rows be auto-filled with NaN (Not A Number)? Or we get Error
You get error bro
it si showing that boston dataset has been removed from sklearn library so what to do?
Yes please tell me if you got....!
firstly sir i want to thank you sir for starting this channel i came across to this through linkdin and sir i want to ask you that i have made some projects from your videos, can i put them in my resume and sir can i upload complete code of those projects on github
hi! yes, if you practiced the code by yourself and you understand it completely, then you can definitely put it in your resume. but don't put it in GitHub. if you made the code from scratch by yourself, then you can put it. And I don't expect you to give credits to me in your GitHub or anywhere else. I am happy that people are learning from my content and I don't expect anything else. thanks 😇
can you do a video on tensor flow please!
thankyou bhai your videos are really usefull. Thankyou bhai.
you are most welcome 😇
will i be able to answer interview questions with this?
Hi can you please make data science prediction on US Stock market on Tesla?
Hi! I'll make video in this topic in 2 or 3 weeks
Boston dataet is already in the pandas or we have to upload it??
same doubt bro how to do it
nice vedio
Create a video for how to create pandas data frame by excel file
Great job brother... Thank you so much 👍👍
Always welcome😇
load_boston has been deleted
what shoud i do to complete the course
Use the California Data Set it is a bit different but is still good
@@setabkhan3081what is its syntax
Thank you.
Hello!
How can I upload .MAT file in Pandas DataFrame?
amazing
thank you so much sir. i have one doubt, when we add column price , how it got values for price.
hi! it is present in the "boston_dataset"
@@Siddhardhan ok sir thank you
boston data set has been related. what to do?😢
sir after coding it in here ,can i push it to github ?
thnx
bro, so if there is a matrix of size 3 x 2 and if I do the slicing operation x[2 , : ]. I will get all the columns of the second row, right?
hi! no, you will get all the columns of 3rd row as the index of third row is 2.
try the following code:
import numpy as np
arr = np.array([[1, 2],[3, 4],[5,6]])
print(arr[2,:])
@@Siddhardhan Bro, congratulations on reaching 12k subscribers! This is just the start, you just see in the future, your YT Channel will be super famous!
How to create a pandas data frame by a excel file
تستاهل الف لايك
How we can find in which row having null value if we have thousands of records?
Kindly refer this: www.kite.com/python/answers/how-to-find-rows-with-nan-values-in-a-pandas-dataframe-in-python
@@Siddhardhan thanks
USE "pandas.DataFrame.isnull()" TO FIND ROWS WITH NAN VALUES
28:05
can you please make these video in Hindi
Gayi buffalo pani me
Ek toh shuru se error aa rahi thi now near at 8 min it again show error of no attribute data and feature name
These error was recorded by watching video again but data got mixed 😂😂
thank you.
how to get this botson dataset ?
it's available in Kaggle