- Machine Learning
- Machine Learning Algorithms
- Human Learning
- Data Analysis
- Applied Machine Learning
- Algorithms
- Probability & Statistics
- Deep Learning
- Python Programming
- Regression
- General Statistics
- Artificial Neural Networks
May 13, 2023
Approximately 3 months at 10 hours a week to completeMuhammad Fahad's account is verified. Coursera certifies their successful completion of IBM IBM Machine Learning Specialization.
Course Certificates Completed
Unsupervised Machine Learning
Deep Learning and Reinforcement Learning
Machine Learning Capstone
Supervised Machine Learning: Regression
Supervised Machine Learning: Classification
Exploratory Data Analysis for Machine Learning
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
Earned after completing each course in the Specialization
IBM
Taught by: Mark J Grover, Miguel Maldonado, Joseph Santarcangelo & Xintong Li
Completed by: Muhammad Fahad by May 7, 2023
IBM
Taught by: Mark J Grover, Joseph Santarcangelo, Xintong Li, Kopal Garg & Miguel Maldonado
Completed by: Muhammad Fahad by May 13, 2023
IBM
Taught by: Yan Luo & Artem Arutyunov
Completed by: Muhammad Fahad by May 13, 2023
5 weeks of study, 4-6 hours/week 
IBM
Taught by: Mark J Grover, Miguel Maldonado & Svitlana (Lana) Kramar
Completed by: Muhammad Fahad by April 30, 2023
IBM
Taught by: Mark J Grover, Svitlana (Lana) Kramar, Joseph Santarcangelo & Miguel Maldonado
Completed by: Muhammad Fahad by May 3, 2023
IBM
Taught by: Joseph Santarcangelo & Svitlana (Lana) Kramar
Completed by: Muhammad Fahad by April 17, 2023