🔥Intellipaat Python for Data Science Course: https://intellipaat.com/python-for-data-science-training/

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

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📝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

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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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45:50

There is (:6, "MPG")

:6 means till 6 … Excluding 6

How 6th record is displayed?

Sir Is it sufficient for interview as a fresher ??? Sir plzz reply

Did i want to learn phython before watching this video please tell me? I am struggling here

Linear regression is explained very miserably

Please, how can i get the csv file used in this lesson?

Just Awesome- Thanks for sharing video and help us to understand Basic stats like-Linear regression, logistic Regression, Decision tree, Clustering 🙂

How can I download this dataset which you used?

sir i am new to data science if study very hard everyday for min 8 hrs..wll i be able to understand this entire video after 1 month??..

isn't @ 2:19 variance?

The video is great but the explanation of regression is really horrible, didn't understand a thing! Please change that trainer!

Thanks a lot

Q1. Write a function that will take two list as argument and

append those elements which are divisible by 2 in new list.

ValueError: columns overlap but no suffix specified: Index(['player', 'title'], dtype='object')

please help me to solve error

i am unable to print my series in jupyter note book.

your tutorial is very good. Can you please share the notebook you have shown in this video.It will be very helpful 🙂

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

Make a series in python it helps me a lot

Hi, can you please post the index of the video like topic name with start time?. It will be useful for quick review

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_xy=np.sum((x-mean_x)*(y-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)

Where are the datasets availalr shown in the video

Is the slides available for this one, brother?

please provide a github link of all materials and csv file

A great session by intellipaat…

Want more such informative and hands on videos in future…👍👍👍

@intellipaat , can you please all the data files to me at pande_ss@hotmail.com

Good information and good explained

16:03 kaldım

Superb Session ..Hats off Sir .

Sir my query is that I m currently working as SAP S4 hana BASIS consultant.

But I want to upgrade myself in Data Science and ML. can you guide me which programing language need to learn and how much math knowledge required.

My math is week but programming is good bcz I had worked in JAVA.

PLEASE GIUDE…

Hi! Are the slides of this video also available?

Thank you very much for this tutorial. Really helpful

Cars CSV file??

Can I have all the dataset for all code?…

Gmail : gauravgarg7860000@gmail.com

A help much appreciated 🙏

is it important to learn statistic first before machine learning?????

plz help

It would be interesting to list examples of real world applications for each algorithm

Thanks for such a brilliant job👍

This is amazing. You breakdown the material very well and explain it quite clearly. Thank you for having examples and typing them out yourself! 👍

Absolutely very good video about Python.. 👍

'function' object is not subscriptable. The system throws this error when I concatenate the Dataframes. 31:53

Thank you so much for this video, very informative and detailed.

Thank you so much.

OK

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….👍

Thanks sir for such a great video….🙏🙏🙏😊.

But sir, will u provide your CSV file so that we can learn from that… Please Sir…🙏

is this course good for people new to data science with basic python knowledge.

Useful

i get an error stating tht pandas has no attribute series