Price:  $ 10.00 USD | Size: 13.3 GB  |  Duration :  24 Hours  |332 Video Lessons | ⭐️⭐️⭐️⭐️⭐️ 4.8
BRAND : Expert TRAINING | ENGLISH |  Bonus : Python & Python 3 PDF Guides | INSTANT DOWNLOAD 
 
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Python All In-One 2023 -Everything You'll Ever Need (24 Hours) Course & PDF Guides
 Python Bootcamp : Python Machine Learning, Python Data Science, Task Automation, Computer Vision, Game Dev, Python SQL 
 
 
What you'll learn
 
Basics Of Python
Python Object Oriented Programming
Numpy and Pandas for Data Analysis
Image Processing with OpenCV
Video Processing with OpenCV
Voice Recognition And Voice Automation
OCR for Converting Images to Text
Data Analysis And Visualization Using Matplotlib And Seaborn
Data Pre-Processing For Machine And Deep Learning
Machine Learning Algorithms Simply Explained And Coded
Deep Learning Algorithms
Natural Language Processing (NLP)
Reinforcement Learning And Self Learning Algorithms
Automating The Boring Tasks
Building Command Line Interfaces
Building GUI Interfaces
Building Web-based Machine Learning Apps
Flutter For Python -Flet
Databases
SQLAlchemy
Web Scraping With Bs4 and selenium
 
 
Requirements
 
The Only Requirement is to have a Computer
 
 
Let this list of covered Topics give you an Idea:
1.Python Strings and RNG
2. Conditional Statements
3. Lists and Bundle Storage
4. Finite State Machines with Python
5. Loops
6. Functions
7. Dictionaries
8. Exceptions and Crash Handling
9. Python Built-In Functions
10. Python Object Oriented Programming
11. Decorators
12. Handling text Files
13. Handling  Compressed Files
14. Data Plotting with Matplotlib
15. Directory Management.
16. Command Line Based Applications
17.  Numpy and Math
18. Image Processing With OpenCV
19. Video Processing
20. Object Tracking
21.  Pandas And Tabular Data
22. Python GUI Based Apps
23. Converting Python to Stand-Alone Software
24. Recommender Systems with Netflix
25. OCR and Image to Text Conversion
26. Python Data Analysis Breakdown
27. Artificial Data Generation
28. Python Machine Learning Breakdown
29. Features Engineering
30. Seaborn for Data Visualization
31. Gaussian Naive Bayes
32. Principal Component Analysis (PCA) 
33. Linear Regression 
34. Polynomial Regression 
35. K-means Clustering 
36. Support Vector Machine (SVM) 
37. Linear Discriminate Analysis (LDA) 
38. t-SNE 
39. Hierarchical Clustering 
40. Time Series Analysis 
41. Decision Trees
42. Random Forests
43. Reinforcement Learning
44. Natural Language Processing (NLP)
45. Building A Messages and Emails Spam FIlter
46. Market Segmentation
47. Analyzing House Pricing
48. Deep learning Breakdown
49. Artificial Neural Networks
50. Image Classification
51. Convultional Neural Networks
52. Automating Accountant Job
53. Building Web Apps
54. Flutter For Python Using Flet
55. Python SQL and Relational Databases (Using SQLAlchemy)
56. Pygame and RPG Advanced Game Development
And more!!!
 
 
 
Who this course is for:
 
Anybody who wants to learn programming, no matter the background.
Anyone wishing to Master Python in all its aspects
Anyone interested In Modern Machine Learning And Deep Learning Technology
Anyone Interested In Data Science
Senior Engineers Looking complete missing pieces in any Area of Python