Python for Data Science and Machine Learning
Artificial Intelligence
Updated on Nov, 2023
Language - Arabic
Deep Learning,Development,Data Science
Lectures -64
Duration -16 hours
30-days Money-Back Guarantee
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Course Description
Are you ready to start your path to becoming a Data Scientist!
This course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost!
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Web scraping with python
- Connect Python to SQL
- Use matplotlib and seaborn for data visualizations
- Machine Learning with SciKit Learn, including:
- Linear Regression
- K Nearest Neighbors
- Decision Trees
- Random Forests
- Natural Language Processing
- Support Vector Machines
- and much, much more!
- Enroll in the course and become a data scientist today!
Goals
What will you learn in this course:
- Use Python for Data Science and Machine Learning
- Learn to use Pandas for Data Analysis
- Learn to use Seaborn for statistical plots
- Use SciKit-Learn for Machine Learning Tasks
Prerequisites
What are the prerequisites for this course?
- No Programming Experience needed. You will learn everything you need to know
Curriculum
Check out the detailed breakdown of what’s inside the course
Python Basics
19 Lectures
-
Setup the Environment
10:45
10:45
-
Print, comments
14:13
14:13
-
Variables
17:28
17:28
-
Strings
18:23
18:23
-
Arithmetic
05:39
05:39
-
Boolean Operations
14:47
14:47
-
Boolean part 2
06:22
06:22
-
Datatype Conversion
05:19
05:19
-
Functions
17:25
17:25
-
Functions 2
11:09
11:09
-
Lambda
13:35
13:35
-
Math Library
08:51
08:51
-
OS Library
17:48
17:48
-
If Statements
08:44
08:44
-
While loop
13:17
13:17
-
For Loop
16:38
16:38
-
Object Oriented Programming (OOP)
15:50
15:50
-
Constructor
12:49
12:49
-
Example
29:33
29:33
Data Science Libraries
12 Lectures
Machine Learning
8 Lectures
Deep Neural Network (DNN)
6 Lectures
Convolutional Neural Network (CNN)
6 Lectures
Computer Vision Application
3 Lectures
Natural Language Processing
7 Lectures
Model Deployment
2 Lectures
Code of the Course
1 Lectures
Instructor Details
Hassan Fulaih
I love writing code and I love teaching others
I always loved coding, I love diving into complex problems and solving and I still think that it's really an amazing feeling to see an app or program you built from scratch
You might think that I studied programming and that I got a CS degree - but I didn't! I always liked coding and it was a great hobby but I actually went for "Biomedical Engineering" when it was time to go to university.
And I don't regret it! It was a fun time and I enjoyed all the things taught there. But soon after taking my first steps in typical Biomedical Engineering jobs, it was very clear to me that I had to go back to coding. And that's what I did.
Actually, I always worked as a freelancer on side jobs whilst I was at university. And I also started teaching others there. I like sharing my knowledge and I really believe that we all should do our best to allow everyone to learn new things and achieve his or her goals.
Now, I've taught about 200,000 students worldwide. I published dozens of courses and I got all those tutorials you find on this page. I'm extremely happy to see that all this content is helping people learn the things they want :-)
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