Machine Learning Capstone
Completed by АЛЕКСАНДР НИКОЛАЕВИЧ ФЕДИН
April 3, 2024
19 hours (approximately)
АЛЕКСАНДР НИКОЛАЕВИЧ ФЕДИН's account is verified. Coursera certifies their successful completion of Machine Learning Capstone
What you will learn
Compare and contrast different machine learning algorithms by creating recommender systems in Python
Predict course ratings by training a neural network and constructing regression and classification models
Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering
Develop a final presentation and evaluate your peers’ projects
Skills you will gain
- Category: Predictive Modeling
- Category: Exploratory Data Analysis
- Category: Scikit Learn (Machine Learning Library)
- Category: Keras (Neural Network Library)
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Descriptive Statistics
- Category: Applied Machine Learning
