Courses / Data Science / Machine Learning & Data Science with Python

Machine Learning & Data Science with Python

Dive deep into Machine Learning algorithms, data analysis, and AI. Covers scikit-learn, TensorFlow, neural networks, NLP, and real-world projects....

⚡ Bestseller
3.7
(9 ratings)
10,893 students Last updated 06/2026
Created by Mohamed Ali
🌐 en 📊 Intermediate ⏱️ 16h 20m total 📖 70 lectures 🏆 Certificate of completion

What you'll learn

Implement ML algorithms
Analyze data with Pandas
Build neural networks
Work with NLP
Deploy ML models

Requirements

  • • Basic computer skills
  • • Internet connection
  • • Motivation to learn

Description

Dive deep into Machine Learning algorithms, data analysis, and AI. Covers scikit-learn, TensorFlow, neural networks, NLP, and real-world projects.

Tags

#ml #ai #python #data-science #tensorflow

Course Content

10 sections · 70 lectures · 16h 20m total

Welcome & Course Overview

Preview 15min

Setting Up Your Environment

Preview 25min

Understanding the Basics

23min

Your First Project

7min

Common Mistakes to Avoid

20min

Welcome & Course Overview

16min

Core Concepts Explained

6min

Hands-on Practice

22min

Deep Dive

7min

Real-World Example

5min

Section Quiz

10min

Core Concepts Explained

18min

Advanced Techniques

15min

Optimization Strategies

25min

Professional Tips

19min

Case Study

18min

Practice Exercise

20min

Building the Project

8min

Adding Features

8min

Styling & Polish

5min

Testing

13min

Deployment

24min

Best Practices

6min

Code Review

8min

Performance Tips

24min

Security Considerations

21min

Final Review

13min

Welcome & Course Overview

10min

Setting Up Your Environment

24min

Understanding the Basics

24min

Your First Project

20min

Common Mistakes to Avoid

15min

Welcome & Course Overview

15min

Setting Up Your Environment

5min

Core Concepts Explained

12min

Hands-on Practice

19min

Deep Dive

12min

Real-World Example

17min

Section Quiz

9min

Core Concepts Explained

12min

Hands-on Practice

18min

Deep Dive

21min

Advanced Techniques

20min

Optimization Strategies

11min

Professional Tips

16min

Case Study

9min

Practice Exercise

23min

Advanced Techniques

23min

Optimization Strategies

13min

Building the Project

8min

Adding Features

12min

Styling & Polish

11min

Testing

15min

Deployment

9min

Building the Project

25min

Best Practices

5min

Code Review

8min

Performance Tips

25min

Security Considerations

25min

Final Review

25min

Best Practices

16min

Mohamed Ali

Data Scientist & Machine Learning Engineer

⭐ 4.8 Instructor Rating 👨‍🎓 0 Students 📚 0 Courses

Experienced instructor with 8+ years in the field. Passionate about teaching and helping students achieve their goals. Has taught over 10,000 students worldwide.

3.7

Course Rating

11%
44%
44%
0%
0%
Priya Sharma 2 months ago

I was a complete beginner and now I can build my own projects. Amazing!

Li Wei 2 months ago

Decent course, could be improved in some areas.

Lucas Oliveira 3 months ago

Absolutely fantastic course! The instructor explains everything clearly and the projects are very practical.

Youssef Ahmed 3 months ago

Decent course, could be improved in some areas.

Alex Johnson 4 months ago

I was a complete beginner and now I can build my own projects. Amazing!

Aisha Diallo 4 months ago

Decent course, could be improved in some areas.

Fatima Al-Ali 4 months ago

Clear, concise, and well-paced. The quizzes helped reinforce the learning.

James Smith 4 months ago

Very comprehensive and up-to-date content. The projects helped me land a job!

Maria Garcia 5 months ago

Decent course, could be improved in some areas.

$16.99 $99.99 83% OFF

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This course includes:

🎬 16h 20m on-demand video
📖 70 lectures
♾️ Full lifetime access
📱 Access on mobile & desktop
🏆 Certificate of completion
🤖 AI Learning Assistant

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