- Ensemble Learning
- Linear Regression
- Machine Learning
- Feature Engineering
- Ridge Regression
- Statistical Hypothesis Testing
- Machine Learning (ML) Algorithms
- Supervised Learning
- Regression Analysis
- Exploratory Data Analysis
- Artificial Intelligence (AI)
- Decision Tree
IBM Machine Learning
Completed by JUN YAN ZHUANG
February 26, 2022
Approximately 3 months at 10 hours a week to completeJUN YAN ZHUANG's account is verified. Coursera certifies their successful completion of IBM IBM Machine Learning Specialization.
Course Certificates Completed
Supervised Machine Learning: Regression
Exploratory Data Analysis for Machine Learning
Deep Learning and Reinforcement Learning
Specialized Models: Time Series and Survival Analysis
Unsupervised Machine Learning
Supervised Machine Learning: Classification
What you will learn
Master the most up-to-date practical skills and knowledge machine learning experts use in their daily roles
Learn how to compare and contrast different machine learning algorithms by creating recommender systems in Python
Develop working knowledge of KNN, PCA, and non-negative matrix collaborative filtering
Predict course ratings by training a neural network and constructing regression and classification models
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Supervised Machine Learning: Regression
IBM
Taught by: Mark J Grover, Miguel Maldonado & Svitlana (Lana) Kramar
Completed by: JUN YAN ZHUANG by February 21, 2022
Exploratory Data Analysis for Machine Learning
IBM
Taught by: Joseph Santarcangelo & Svitlana (Lana) Kramar
Completed by: JUN YAN ZHUANG by February 20, 2022
Deep Learning and Reinforcement Learning
IBM
Taught by: Mark J Grover, Joseph Santarcangelo, Xintong Li, Kopal Garg & Miguel Maldonado
Completed by: JUN YAN ZHUANG by February 26, 2022
Specialized Models: Time Series and Survival Analysis
IBM
Taught by: Mark J Grover & Miguel Maldonado
Completed by: JUN YAN ZHUANG by February 24, 2022
Unsupervised Machine Learning
IBM
Taught by: Mark J Grover, Miguel Maldonado, Joseph Santarcangelo & Xintong Li
Completed by: JUN YAN ZHUANG by February 21, 2022
Supervised Machine Learning: Classification
IBM
Taught by: Mark J Grover, Svitlana (Lana) Kramar, Joseph Santarcangelo & Miguel Maldonado
Completed by: JUN YAN ZHUANG by February 21, 2022