Python for Data Science | Data Science With Python | Python Data Science Tutorial | Intellipaat

In this python for data science video you will learn end to end on data science with python. So this python data science tutorial will help you learn various python concepts and machine learning algorithms to get you started in this technology.
#PythonforDataScience #DataScienceWithPython #PythonDataScienceTutorial #PythonforDataScienceTraining #PythonforDataScienceCourse #LearnPython #PythonDataScience #PythonforDataAnalysis

📝The following topics are covered in this tutorial:
0:00 - Python for Data Science
1:03​ - Introduction to Pandas
4:24​ - Pandas vs Numpy
5:20​ - How to import Pandas in Python
6:04​ - Data-set in Pandas
6:41​ - What is a series object
10:54​ - DataFrame in Pandas
11:56​ - How to create a DataFrame
18:07​ - Merge,Join & Concatenate in Pandas
32:15​ - Importing & Analyzing the Dataset
43:00​ - Manipulating the Dataset
49:46​ - Introduction to Machine Learning
53:23​ - How does Machine Learn
55:07​ - Machine Learning popular MYTH!
57:21​ - Types of Machine Learning
1:13:31​ - What is Regression
1:21:17​ - Types of Regression
1:26:54​ - What is Linear Regression
1:30:00​ - Understanding Linear Regression
1:41:41​ - Mean Square Error
2:33:33​ - Logistic Regression Algorithm
2:40:43​ - Linear regression (Recap)
2:45:59 - Introduction to logistic Regression
2:52:57​ - Why Logistic Regression
2:54:19​ - Spam Email Classifier
3:37:57​ - Demo Logistic regression
4:05:48​ - What is Classification
4:06:20​ - Classification vs Regression
4:06:36​ - Types of Classification
4:18:02​ - Visualizing a Decision Tree
4:24:26 - Creating a Decision Tree
4:27:46​ - Calculating Entropy
4:43:45​ - Understanding Confusion Matrix
4:45:48​ - Understanding Naive Bayes Classifier
5:13:30 - What is Clustering
5:18:13 - Types of Clustering
5:22:54​ - What is K-Means Clustering?
5:26:27​ - understanding K-Means Algorithm
5:44:25​ - Quiz 1
5:44:47​ - Quiz 2
5:47:25​ - Quiz 3
5:48:27​ - Quiz 4
5:48:44 - Quiz 5

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Why should you watch this Python for Data Science tutorial?

You can learn Data Science much faster than any other technology and this Data Science tutorial helps you do just that. Data Science is one of the best technological advances that is finding increased applications for machine learning and in a lot of industry domains. We are offering the top Data Science tutorial to gain knowledge in Data Science.

Who should watch this Python for Data Science tutorial video?

If you want to learn what is Data Science to become a Data Scientist then this Intellipaat Data Science tutorial is for you. The Intellipaat Data Science video is your first step to learn Data Science. Since this Data Science tutorial video can be taken by anybody, so if you are a beginner in technology then you can also enroll for Data Science training to take your skills to the next level.

Why should you opt for a Python for Data Science career?

If you want to fast-track your career then you should strongly consider Data Science. The reason for this is that it is one of the fastest growing technology. There is a huge demand for Data Scientist. The salaries for Data Scientist is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Data Science with tutorial is your stepping stone to a successful career!
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For more Information:

[Intellipaat]

Guys, which technology you want to learn from Intellipaat? Comment down below and let us know so we can create in depth video tutorials for you.:)

[Intellipaat]

Following topics are covered in this tutorial:
Introduction to Pandas - 1:03
Pandas vs Numpy - 4:24
How to import Pandas in Python - 5:20
Data-set in Pandas - 6:04
What is a series object - 6:41
DataFrame in Pandas -10:54
How to create a DataFrame - 11:56
Merge, Join & Concatenate in Pandas - 18:07
Importing & Analyzing the Dataset - 32:15
Manipulating the Dataset - 43:00
Introduction to Machine Learning - 49:46
How does Machine Learn - 53:23
Machine Learning popular MYTH! - 55:07
Types of Machine Learning - 57:21
What is Regression - 1:13:31
Types of Regression - 1:21:17
What is Linear Regression - 1:26:54
Understanding Linear Regression - 1:30:00
Mean Square Error - 1:41:41
Logistic Regression Algorithm - 2:33:33
Linear regression (Recap) - 2:40:43
Introduction to logistic Regression - 2:45:59
Why Logistic Regression - 2:52:57
Spam Email Classifier - 2:54:19
Demo Logistic regression - 3:37:57
What is Classification - 4:05:48
Classification vs Regression - 4:06:20
Types of Classification - 4:06:36
Visualizing a Decision Tree - 4:18:02
Creating a Decision Tree - 4:24:26
Calculating Entropy - 4:27:46
Understanding Confusion Matrix - 4:43:45
Understanding Naive Bayes Classifier - 4:45:48
What is Clustering - 5:13:30
Types of Clustering - 5:18:13
What is K-Means Clustering? - 5:22:54
understanding K-Means Algorithm - 5:26:27
Quiz 1 - 5:44:25
Quiz 2 - 5:44:47
Quiz 3 - 5:47:25
Quiz 4 - 5:48:27
Quiz 5 - 5:48:44

[nospamman]

2:01:40 .. "two concepts, cost function, and ..." <---- \_(0.o)_/
Edit: after re-reading 40x, i now read the second concept as Gradient Descent. Please caption this!

[ruslanalguliyev]

Firstly thanks for this amazing video. There is a mistake 2:15:26 the function of estimate_coefficients must be like that:
def estimate_coefficients(x, y):
n=np.size(x)
mean_x, mean_y=np.mean(x), np.mean(y)

ss_xx=np.sum((x-mean_x)**2)
b1=ss_xy/ss_xx
b0=mean_y-b1*mean_x
return (b0, b1)
you have done a little mistake while calculating ss_xy and ss_xx. Result of your formula doesn't match with sklearn model regression (ready function)

[chinmay]

You are doing such a great job, many students can't afford the online courses on data science and ML, your Channel is a very helpful for them .
One request for you sir, can you please make videos on how to select problem statement from kaggle and solve them 🙏
All the best and keep growing....👍

[devil..]

I have one request for you guys. There are tons of technical tutorials on YouTube which are made for beginners but no one is making videos on intermediate to advance levels.
Please make all intermediate to advance level of tutorials for beginners.

Thanks.

[prateeksrivastava]

Q1. Write a function that will take two list as argument and
append those elements which are divisible by 2 in new list.

[rupajha]

Initially it was good, but later it seems the presenter wanted to just finish the problem.
He said R square should be one, but I cannot find his explanation during Linear Regression. He ended saying "This is what it is" .

[funtimes]

I am not sure why the datasets are not shared. Please for any videos you upload also upload the dataset on Git and provide the link in description. A gr8 video is wasted if we cannot work alongside when you are explaining.

[SrRunsis]

If the inner join in minute 29:40 is not working for you maybe it's because the columns need a suffix:
df3.join( df4, how='inner', lsuffix='_DF3', rsuffix='_DF4' )
That's how it worked for me. Apparently, what causes the error is that the column names get repated.


Hope it helped you!

[AbhishekShukla]

I don't know what to say after going through this whole channel 😱😱😱😱❤❤❤❤💞. I mean it's just amazing . You guys just killed the whole competition ! Hats off.

[anonymous_chan_]

Sir that was amazing. Your all tutorials including this video has clear and simple explanation. But sir I recommend you to make its part or like that in hindi because most of us are very much more comfortable in understanding hindi than English. Please Sir grant my request.

[cricket]

One of the clear and precise training on YouTube! Worth more than paid trainings. Hats off to you!!👍👍👌👌 (The first guy)

[updatascience]

A comprehensive tutorial dedicated to data science, good job!

[rezwanakabir]

Hello can you please share the datasets? It would be helpful for me to understand what kind of datasets are suitable for different methods. Please kindly reply

[Arkantosi]

Just a heads up to all future Data Scientist: in 95% of the cases in the industry, nonthing you learn in university or DS bootcamps works on real life data. So if you feel as if nothing you've learned works, it's normal.

[AmitSharma-pozb]

Even if you continue to get error :- use below code
df3.join(df4, how='inner', lsuffix='left', rsuffix='right')

[nishavasaikar]

Thank you so much. You are doing a brilliant job.

[arpitagec]

Wonderful content stuffed in one video!😊👍
I would like to suggest you 2 things which would be really beneficial for all.
1. Cover statistics in detail which will make us understand everything practically.
2. After this course, you should cover some data science projects for each algos. Upload the problem in one video and for solution break it into chunks with minute details. Unless we do hands-on our foundation won't be strong.

I really appreciate your efforts in this video. Hopefully, my suggestions would be taken care.

[youme]

This made my day😍 was searching for a proper Phthon training and got it Love u guys....