MustafaMarwat / Certificates-in-AI-ML-DL-and-RL

Coursera & EDx Specialization in Machine Learning, Deep Learning & Reinforcement Learning

Coursera & EDx Specialization Certification in Machine Learning, Deep Learning & Reinforcement Learning

This repository contains certificates and course descriptions for a specialization in Machine Learning, Deep Learning, and Reinforcement Learning completed on Coursera and EDx. Below, you'll find information about the courses and specializations along with the earned certificates.

Specialization Overview

1. Computational Thinking using Python - EDX

Courses:

1. Introduction to Computer Science and Programming Using Python
2. Introduction to Computational Thinking and Data Science

Description: The courses in the XSeries are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. These courses provide a brief introduction to various topics in computational problem-solving.

2. Mathematics for Machine Learning and Data Science Specialization - Coursera

Courses:

1. Linear Algebra for Machine Learning and Data Science
2. Calculus for Machine Learning and Data Science
3. Probability & Statistics for Machine Learning & Data Science

Description: This specialization covers core mathematics for machine learning and data science, including linear algebra, calculus, probability, and statistics.

3. Machine Learning Specialization – Coursera (Stanford University)

Courses:

1. Supervised Machine Learning: Regression and Classification
2. Advanced Learning Algorithms
3. Unsupervised Learning, Recommenders, Reinforcement Learning

Description: This specialization delves into modern machine learning concepts, including supervised and unsupervised learning, recommender systems, and reinforcement learning.

4. Deep Learning Specialization – Coursera

Courses:

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Description: This specialization covers neural network architectures, deep learning strategies, and their applications in areas like speech recognition, natural language processing, and more.

5. TensorFlow Developer - Coursera

Courses:

1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series and Prediction

Description: This program focuses on building and training neural networks using TensorFlow, with applications in image recognition, natural language processing, and more.

6. MicroMaster Program in Statistics and Data Science – MIT, EDX (ONGOING)

Courses:

1. Probability - The Science of Uncertainty and Data
2. Machine Learning with Python: from Linear Models to Deep Learning
3. Fundamentals of Statistics
4. Capstone Exam in Statistics and Data Science
5. Data Analysis: Statistical Modeling and Computation in Applications

Description: This MicroMasters program from MIT provides a comprehensive foundation in data science, statistics, and machine learning.

Certificates

• Certificate 1 - Computational Thinking using Python - EDX
• Certificate 2 - Mathematics for Machine Learning and Data Science Specialization - Coursera
• Certificate 3 - Machine Learning Specialization – Coursera (Stanford University)
• Certificate 4 - Deep Learning Specialization – Coursera
• Certificate 5 - TensorFlow Developer - Coursera

About

This repository is maintained by Muhammad Mustafa Khan. Feel free to explore the certificates and course descriptions to learn more about the specialization in Machine Learning, Deep Learning, and Reinforcement Learning.

If you have any questions or need more information about the courses, certificates, or related topics, please feel free to contact me.