1littlecoder Courses

Feature Importance in Machine Learning - Permutation Importance with ELI5

Explore permutation importance in machine learning, understanding its significance and application through hands-on examples using ELI5 for Random Forest models.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Scikit-Learn Pipeline and Cross-Validation - Day 13 of 30 Days of ML

Learn advanced machine learning techniques with Scikit-Learn, focusing on pipelines for organized code and cross-validation for improved model performance evaluation. Part of a 30-day ML challenge.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables

Explore missing values and categorical variables in machine learning, learning practical approaches to handle data imperfections and enhance model performance.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Kaggle Competition Submission - Learn Python ML in 30 Days - Day 11

Learn to participate in machine learning competitions on Kaggle. Create and submit predictions, improving your skills through hands-on practice in a real-world competitive environment.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Overfitting, Underfitting, and Random Forests in Machine Learning - Day 10

Explore overfitting, underfitting, and random forests in machine learning. Learn to build accurate models and apply these concepts to improve your ML skills.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Building Your First Machine Learning Model and Model Validation - Day 9

Learn to build and validate your first machine learning model using scikit-learn. Explore techniques for handling large datasets, selecting features, and evaluating model performance through hands-on exercises.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Python Libraries and Operator Overloading for Machine Learning - Day 7 of 30 Days of ML

Explore Python libraries for machine learning, focusing on external code integration and operator overloading. Part of a 30-day challenge to build daily ML coding habits.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Python Strings and Dictionaries for Machine Learning - Day 6 of 30 Days of ML

Explore Python strings and dictionaries for machine learning, focusing on text manipulation and data organization techniques essential for ML projects.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Python Loops and List Comprehension - Kaggle 30 Days of ML Day 5

Explore Python loops and list comprehensions for efficient code execution in machine learning, condensing multi-line operations into concise, powerful one-liners.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Python Lists and Tuples for Machine Learning - Day 5 of 30 Days of ML

Learn Python lists and tuples for machine learning, focusing on storing and managing ordered collections of values. Practical examples and exercises included to reinforce key concepts.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Python Tutorial to Build Image-to-Text App Using EasyOCR and Streamlit

Build an image-to-text web app using EasyOCR and Streamlit. Extract text from images with Python in this hands-on data science project. Learn web app development and optical character recognition.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Python Boolean, Conditionals, and IF-ELSE Statements - Kaggle 30 Days of ML Day 4

Learn Python fundamentals for machine learning: Booleans, conditionals, and if-else statements. Part of Kaggle's 30 Days of ML challenge to build daily coding habits.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Python Functions and Getting Help - Kaggle 30 Days of ML Day 3

Learn Python functions for machine learning, including defining and calling functions, getting help, and practical exercises to reinforce your understanding.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Python Basics for Machine Learning - Day 2 of Kaggle's 30 Days of ML Challenge

Learn Python fundamentals for machine learning, covering data manipulation, visualization, and deep learning tools in this comprehensive 30-day challenge.

• YouTube
• 30 minutes
• Self-Paced
• Free Video