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
4.4
(8 ratings)
3,955 students Last updated 06/2026
Created by Mohamed Ali
🌐 en 📊 Intermediate ⏱️ 13h 50m total 📖 80 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 · 80 lectures · 13h 50m total

Welcome & Course Overview

Preview 19min

Setting Up Your Environment

Preview 15min

Understanding the Basics

10min

Your First Project

18min

Common Mistakes to Avoid

15min

Welcome & Course Overview

15min

Core Concepts Explained

21min

Hands-on Practice

10min

Deep Dive

19min

Real-World Example

10min

Section Quiz

7min

Core Concepts Explained

17min

Hands-on Practice

24min

Advanced Techniques

15min

Optimization Strategies

15min

Professional Tips

20min

Case Study

24min

Practice Exercise

7min

Advanced Techniques

13min

Building the Project

6min

Adding Features

9min

Styling & Polish

23min

Testing

12min

Deployment

25min

Best Practices

22min

Code Review

6min

Performance Tips

5min

Security Considerations

9min

Final Review

10min

Best Practices

9min

Code Review

23min

Performance Tips

22min

Welcome & Course Overview

9min

Setting Up Your Environment

13min

Understanding the Basics

23min

Your First Project

9min

Common Mistakes to Avoid

7min

Welcome & Course Overview

16min

Setting Up Your Environment

21min

Understanding the Basics

17min

Core Concepts Explained

12min

Hands-on Practice

15min

Deep Dive

20min

Real-World Example

8min

Section Quiz

21min

Advanced Techniques

20min

Optimization Strategies

19min

Professional Tips

8min

Case Study

12min

Practice Exercise

14min

Advanced Techniques

14min

Optimization Strategies

7min

Building the Project

7min

Adding Features

20min

Styling & Polish

15min

Testing

22min

Deployment

20min

Building the Project

18min

Adding Features

24min

Best Practices

15min

Code Review

21min

Performance Tips

5min

Security Considerations

8min

Final Review

16min

Best Practices

11min

Code Review

15min

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.

4.4

Course Rating

63%
13%
25%
0%
0%
Priya Sharma 1 week ago

The instructor is very knowledgeable and responds to questions quickly. 5 stars!

Tom Mueller 3 weeks ago

Good course overall. Some sections could use more depth but still very valuable.

Alex Johnson 1 month ago

Decent course, could be improved in some areas.

Fatima Al-Ali 1 month ago

Excellent explanations and real-world examples. I'm now confident in my skills.

Aisha Diallo 1 month ago

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

Youssef Ahmed 2 months ago

Decent course, could be improved in some areas.

Maria Garcia 2 months ago

Best course I've taken on this topic. Worth every penny. Highly recommended!

Lucas Oliveira 3 months ago

Great content and well-structured. I learned so much in just a few weeks.

$16.99 $99.99 83% OFF

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This course includes:

🎬 13h 50m on-demand video
📖 80 lectures
♾️ Full lifetime access
📱 Access on mobile & desktop
🏆 Certificate of completion
🤖 AI Learning Assistant

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