Канал: Sebastian Mantey

Channel Update #2: Finishing 5 Kaggle Competitions in the Top 10%

Channel Update #2: Finishing 5 Kaggle Competitions in the Top 10%

Channel Update #1: My Goal for this Channel

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: 2. Step of the Algorithm

Naive Bayes from Scratch in Python: 1. Step of the Algorithm

Naive Bayes from Scratch in Python: 1. Step of the Algorithm

Naive Bayes from Scratch in Python: Introduction

Naive Bayes from Scratch in Python: Introduction

Naive Bayes explained: Why "naive"?, the problem of rare values, continuous features, regression

Naive Bayes explained: Why "naive"?, the problem of rare values, continuous features, regression

Naive Bayes explained

Naive Bayes explained

Post-Pruning from Scratch in Python p.3

Post-Pruning from Scratch in Python p.3

Post-Pruning from Scratch in Python p.2

Post-Pruning from Scratch in Python p.2

Post-Pruning from Scratch in Python p.1

Post-Pruning from Scratch in Python p.1

Decision Tree Pruning explained (Pre-Pruning and Post-Pruning)

Decision Tree Pruning explained (Pre-Pruning and Post-Pruning)

Git Tutorial with Python p.5 – Working with a Remote Repo on GitHub

Git Tutorial with Python p.5 – Working with a Remote Repo on GitHub

Git Tutorial with Python p.4 – Working with Branches

Git Tutorial with Python p.4 – Working with Branches

Git Tutorial with Python p.3 – Creating Commits

Git Tutorial with Python p.3 – Creating Commits

Git Tutorial with Python p.2 – Inspecting the Commit History of an already existing Project

Git Tutorial with Python p.2 – Inspecting the Commit History of an already existing Project

Git Tutorial with Python p.1 – Key Concepts (Version Control, Commits, Branches, Remote Repo etc.)

Git Tutorial with Python p.1 – Key Concepts (Version Control, Commits, Branches, Remote Repo etc.)

Conda Tutorial (Python) p.2: Commands for Managing Environments and Packages

Conda Tutorial (Python) p.2: Commands for Managing Environments and Packages

Conda Tutorial (Python) p.1: Package and Environment Manager | Anaconda vs. Miniconda | Conda

Conda Tutorial (Python) p.1: Package and Environment Manager | Anaconda vs. Miniconda | Conda

Coding a Decision Tree from Scratch in Python p.11: Regression from Scratch

Coding a Decision Tree from Scratch in Python p.11: Regression from Scratch

Coding a Decision Tree from Scratch in Python p.10: Regression explained

Coding a Decision Tree from Scratch in Python p.10: Regression explained

Coding a Random Forest from Scratch in Python p.3: Creating the Forest and making Predictions

Coding a Random Forest from Scratch in Python p.3: Creating the Forest and making Predictions

Coding a Random Forest from Scratch in Python p.2: Bootstrapping and Random Subspace Method

Coding a Random Forest from Scratch in Python p.2: Bootstrapping and Random Subspace Method

Coding a Random Forest from Scratch in Python p.1: Random Forest Algorithm explained

Coding a Random Forest from Scratch in Python p.1: Random Forest Algorithm explained

Coding a Decision Tree from Scratch in Python p.9: Code Update

Coding a Decision Tree from Scratch in Python p.9: Code Update

Basics of Deep Learning Part 15: Coding a Neural Network from Scratch in Python

Basics of Deep Learning Part 15: Coding a Neural Network from Scratch in Python

Basics of Deep Learning Part 14: How to train a Neural Network

Basics of Deep Learning Part 14: How to train a Neural Network

Basics of Deep Learning Part 13: Implementing the Backpropagation Algorithm with NumPy

Basics of Deep Learning Part 13: Implementing the Backpropagation Algorithm with NumPy

Basics of Deep Learning Part 12: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 12: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 11: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 11: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 10: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 10: Backpropagation explained Step by Step cont'd

Basics of Deep Learning Part 9: Backpropagation explained Step by Step

Basics of Deep Learning Part 9: Backpropagation explained Step by Step

Basics of Deep Learning Part 8: Backpropagation explained – Chain Rule and Sigmoid Function

Basics of Deep Learning Part 8: Backpropagation explained – Chain Rule and Sigmoid Function

Basics of Deep Learning Part 7: Backpropagation explained – Gradient Descent and Partial Derivatives

Basics of Deep Learning Part 7: Backpropagation explained – Gradient Descent and Partial Derivatives

Basics of Deep Learning Part 6: Backpropagation explained – Cost Function and Derivatives

Basics of Deep Learning Part 6: Backpropagation explained – Cost Function and Derivatives

Basics of Deep Learning Part 5: Implementing the Feedforward Algorithm with NumPy

Basics of Deep Learning Part 5: Implementing the Feedforward Algorithm with NumPy

Basics of Deep Learning Part 4: Implementing the Feedforward Algorithm in pure Python cont'd

Basics of Deep Learning Part 4: Implementing the Feedforward Algorithm in pure Python cont'd

Basics of Deep Learning Part 3: Implementing the Feedforward Algorithm in pure Python

Basics of Deep Learning Part 3: Implementing the Feedforward Algorithm in pure Python

Basics of Deep Learning Part 2: Feedforward Algorithm explained

Basics of Deep Learning Part 2: Feedforward Algorithm explained

Basics of Deep Learning Part 1: Introduction

Basics of Deep Learning Part 1: Introduction

Coding a Decision Tree from Scratch in Python p.8: Handling Categorical Features

Coding a Decision Tree from Scratch in Python p.8: Handling Categorical Features

Coding a Decision Tree from Scratch in Python p.7: Classification

Coding a Decision Tree from Scratch in Python p.7: Classification

Coding a Decision Tree from Scratch in Python p.6: Main Algorithm cont'd

Coding a Decision Tree from Scratch in Python p.6: Main Algorithm cont'd

Coding a Decision Tree from Scratch in Python p.5: Main Algorithm

Coding a Decision Tree from Scratch in Python p.5: Main Algorithm

Coding a Decision Tree from Scratch in Python p.4: Helper Functions cont'd

Coding a Decision Tree from Scratch in Python p.4: Helper Functions cont'd

Coding a Decision Tree from Scratch in Python p.3: Helper Functions cont'd

Coding a Decision Tree from Scratch in Python p.3: Helper Functions cont'd

Coding a Decision Tree from Scratch in Python p.2: Helper Functions

Coding a Decision Tree from Scratch in Python p.2: Helper Functions

Coding a Decision Tree from Scratch in Python p.1: Introduction

Coding a Decision Tree from Scratch in Python p.1: Introduction

What is Machine Learning? Part 5/5: The (potential) Impact of Machine Learning

What is Machine Learning? Part 5/5: The (potential) Impact of Machine Learning

What is Machine Learning? Part 4/5: real-world Examples and Applications

What is Machine Learning? Part 4/5: real-world Examples and Applications

What is Machine Learning? Part 3/5: Decision Tree Algorithm explained - Entropy

What is Machine Learning? Part 3/5: Decision Tree Algorithm explained - Entropy

What is Machine Learning? Part 2/5: Decision Tree Algorithm explained - Intuition

What is Machine Learning? Part 2/5: Decision Tree Algorithm explained - Intuition

What is Machine Learning? Part 1/5: High-level Overview

What is Machine Learning? Part 1/5: High-level Overview