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Full Stack Machine Learning and Data Science with Python
Master Data Science and Machine Learning with Hands-on Labs and Projects
5.026 reviews62 learners
- All Levels
- 53h 34m video
- 80 lectures
- English
- Updated 2026
Taught by Kasi Gopi
- 53h 34m of on-demand video
- 80 lectures across 7 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- English audio
Curriculum
7 sections80 lectures53h 34m total
- Introduction6:11
- Getting Started with Python30:58
- Primitive Types32:17
- Control Flow37:38
- Functions38:10
- Data Structures1:17:31
- Exceptions22:12
- Python Classes Part 136:55
- Python Classes Part 246:02
- Modules17:21
- Python Standard Library59:42
- Python Package Index45:42
- Popular Python Packages54:08
- Building Web Applications with Django Part - 11:01:06
- Building Web Applications with Django Part - 257:32
- Machine Learning with Python46:48
- Dice Rolling Game Project in Python7:24
- Number Guessing Game and Rock Paper Scissor Projects in Python33:53
- Currency Converter and Quiz Game Projects in Python39:57
- Tic Tac Toe Game Project in Python29:20
- Todo List and Simple Text Editor Projects in Python35:03
- Pig Dice Game and Cows and Bulls Game Projects in Python32:29
- Password Strength Checker and Password Generator projects in Python19:21
- Word Guessing Game and Slot Machine Game Projects in Python40:10
- ATM Simulation Project in Python Programming36:24
- Importance of Python Progamming6:47
- Getting Started with SQL24:26
- Retrieving Data From a Single Table57:12
- Retrieving Data From Multiple Tables48:01
- Inserting, Updating, and Deleting Data41:50
- Summarizing Data in SQL30:22
- Writing Complex Query38:21
- Essential MySQL Functions31:19
- Views in SQL18:17
- Stored Procedures47:59
- Triggers and Events20:51
- Transactions and Concurrency42:35
- Data Types24:02
- Designing Databases Part 159:38
- Designing Databases Part 259:58
- Indexing for High Performance52:26
- Securing Databases in SQL14:13
- Getting Started with Git13:58
- Creating Snapshots57:53
- Browsing History42:53
- Branching1:11:35
- Collaboration16:40
- Rewriting History44:31
- Getting Started with DSA17:33
- Arrays29:18
- Linked Lists44:44
- Stacks41:58
- Queues51:48
- Hash Tables1:06:06
- Binary Trees1:14:20
- AVL Trees48:46
- Heaps54:04
- Trees46:32
- Graphs1:06:45
- Undirected Graphs58:11
- Sorting Algorithms1:12:25
- 14 Searching Algorithms34:09
- String Manipulation Algorithms56:21
- Getting Started with Design Pattern in Java37:54
- Memento and State Patterns38:07
- Iterator and Strategy Pattern35:07
- Template Method and Command Patterns in C++41:30
- Observer and Mediator Patterns48:25
- Mediator and Visitor Pattern36:26
- Composite and Adapter Pattern25:09
- Decorator and Facade Pattern26:00
- Flyweight, Bridge and Proxy Patterns51:43
- Prototype and Singleton Pattern14:27
- Factory Method, Abstract Factory and Builder Pattern36:55
About this course
Start your journey into the world of data with this beginner-friendly course designed for absolute newcomers. “Data Science and Machine Learning for Absolute Beginners” introduces you to the core concepts, tools, and techniques needed to kickstart a career in one of today’s most in-demand fields. You’ll begin by understanding what data science is and how it’s used in real-world applications across industries. The course then walks you through essential programming skills using Python, including data handling, visu…
Before you start
- You will learn from scratch. No Prerequisites
Who it’s for
- Anyone wanting to be a Data scientist
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