35 тысяч подписчиков
52 видео
Channel Update #2: Finishing 5 Kaggle Competitions in the Top 10%
Channel Update #1: My Goal for this Channel
Naive Bayes from Scratch in Python: 2. Step of the Algorithm
Naive Bayes from Scratch in Python: 1. Step of the Algorithm
Naive Bayes from Scratch in Python: Introduction
Naive Bayes explained: Why "naive"?, the problem of rare values, continuous features, regression
Naive Bayes explained
Post-Pruning from Scratch in Python p.3
Post-Pruning from Scratch in Python p.2
Post-Pruning from Scratch in Python p.1
Decision Tree Pruning explained (Pre-Pruning and Post-Pruning)
Git Tutorial with Python p.5 – Working with a Remote Repo on GitHub
Coding a Random Forest from Scratch in Python p.3: Creating the Forest and making Predictions
Coding a Decision Tree from Scratch in Python p.5: Main Algorithm
Coding a Decision Tree from Scratch in Python p.2: Helper Functions
Conda Tutorial (Python) p.2: Commands for Managing Environments and Packages
Coding a Decision Tree from Scratch in Python p.3: Helper Functions cont'd
Basics of Deep Learning Part 2: Feedforward Algorithm explained
Coding a Decision Tree from Scratch in Python p.6: Main Algorithm cont'd
What is Machine Learning? Part 3/5: Decision Tree Algorithm explained - Entropy
Basics of Deep Learning Part 15: Coding a Neural Network from Scratch in Python
Git Tutorial with Python p.1 – Key Concepts (Version Control, Commits, Branches, Remote Repo etc.)
Basics of Deep Learning Part 13: Implementing the Backpropagation Algorithm with NumPy
Git Tutorial with Python p.3 – Creating Commits
Python Tutorial for Beginners p.7: Raw Strings & f-Strings
Coding a Decision Tree from Scratch in Python p.1: Introduction
Conda Tutorial (Python) p.1: Package and Environment Manager | Anaconda vs. Miniconda | Conda
Basics of Deep Learning Part 3: Implementing the Feedforward Algorithm in pure Python
VS Code Tutorial p.4: Workspaces | How to use them, Multi-root Workspaces, Workspace Trust
Coding a Decision Tree from Scratch in Python p.10: Regression explained
Coding a Random Forest from Scratch in Python p.1: Random Forest Algorithm explained
Basics of Deep Learning Part 4: Implementing the Feedforward Algorithm in pure Python cont'd
Coding a Decision Tree from Scratch in Python p.7: Classification
Coding a Decision Tree from Scratch in Python p.11: Regression from Scratch
VS Code Tutorial p.13: Editor Layout | Full Screen, Zen Mode, Centered Layout, Editor Groups, etc.
VS Code Tutorial p.19: Settings | Settings Editor, "settings.json" Files, etc.
Git Tutorial with Python p.4 – Working with Branches
How I structure my notes using Markdown and VS Code
VS Code Tutorial p.23: Jupyter Extension | Jupyter Notebooks, Python Interactive Window, etc.
Basics of Deep Learning Part 5: Implementing the Feedforward Algorithm with NumPy
Git Tutorial with Python p.2 – Inspecting the Commit History of an already existing Project
Basics of Deep Learning Part 1: Introduction
VS Code Tutorial p.7: Source Control | Setting up a repo, Graph view, Timeline view, Diff editor
Python Tutorial for Beginners p.29: PEP8 Style Guide
Python Tutorial for Beginners p.14: Zero-based Indexing explained
Coding a Decision Tree from Scratch in Python p.8: Handling Categorical Features
Python Tutorial for Beginners p.13: Indexing, Slicing, Nesting & Multiple Assignment
Python Tutorial for Beginners p.15: Mutability - Definition & Potential Problems and their Solutions
Python Tutorial for Beginners p.21: Built-in Functions continued
VS Code Tutorial p.20: UI Customization | Hide UI Elements, Change Themes, Rearrange Views, etc.
Python Tutorial for Beginners p.27: Error Handling & The Traceback
VS Code Tutorial p.18: Status Bar
Python Beginner Project - Creating a Minesweeper Game p.1: Introduction & Prerequisites
Python Tutorial for Beginners p.5: Numbers - Integers, Floats and Complex Numbers
