Dive deeper into machine learning concepts with this engaging video series led by Kaggle Data Scientist Jesse Mostipak. Explore eight short, supplemental videos corresponding to lessons from Kaggle's Intro to Machine Learning course. Cover essential topics including how models work, basic data exploration, building your first machine learning model, model validation, underfitting and overfitting, random forests, machine learning competitions, and a bonus lesson on AutoML. Enhance your understanding of fundamental machine learning principles through this concise and informative video series.
Overview
Syllabus
Intro to Machine Learning Lesson 1: How Models Work | Kaggle.
Intro to Machine Learning Lesson 2: Basic Data Exploration | Kaggle.
Intro to Machine Learning Lesson 3: Your First Machine Learning Model | Kaggle.
Intro to Machine Learning Lesson 4: Model Validation | Kaggle.
Intro to Machine Learning Lesson 5: Underfitting and Overfitting | Kaggle.
Intro to Machine Learning Lesson 6: Random Forests | Kaggle.
Intro to Machine Learning Lesson 7: Machine Learning Competitions | Kaggle.
Intro to Machine Learning Bonus Lesson: AutoML | Kaggle.
Taught by
Kaggle
