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Completed by Hanna Bawardi

May 6, 2024

Approximately 3 months at 10 hours a week to complete

Hanna Bawardi's account is verified. Coursera certifies their successful completion of IBM IBM Machine Learning Specialization.

Course Certificates Completed

Machine Learning Capstone

Deep Learning and Reinforcement Learning

Supervised Machine Learning: Classification

Exploratory Data Analysis for Machine Learning

Supervised Machine Learning: Regression

Unsupervised Machine Learning

IBM Machine Learning

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68K Students Enrolled

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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

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

View certificate for Hanna Bawardi, IBM Machine Learning, offered through Coursera. Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM provides evidence that the above named individual developed skills in Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning; including Time Series Analysis and Survival Analysis. This program consisted of 6 courses providing a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning.

Course Certificates

Earned after completing each course in the Specialization

Machine Learning Capstone

IBM

Taught by: Yan Luo & Artem Arutyunov

Completed by: Hanna Bawardi by May 6, 2024

5 weeks of study, 4-6 hours/week 

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Deep Learning and Reinforcement Learning

IBM

Taught by: Mark J Grover, Joseph Santarcangelo, Xintong Li, Kopal Garg & Miguel Maldonado

Completed by: Hanna Bawardi by May 5, 2024

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Supervised Machine Learning: Classification

IBM

Taught by: Mark J Grover, Svitlana (Lana) Kramar, Joseph Santarcangelo & Miguel Maldonado

Completed by: Hanna Bawardi by September 9, 2022

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Exploratory Data Analysis for Machine Learning

IBM

Taught by: Joseph Santarcangelo & Svitlana (Lana) Kramar

Completed by: Hanna Bawardi by August 12, 2022

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Supervised Machine Learning: Regression

IBM

Taught by: Mark J Grover, Miguel Maldonado & Svitlana (Lana) Kramar

Completed by: Hanna Bawardi by August 28, 2022

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Unsupervised Machine Learning

IBM

Taught by: Mark J Grover, Miguel Maldonado, Joseph Santarcangelo & Xintong Li

Completed by: Hanna Bawardi by September 18, 2022

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