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https://github.com/greyhatguy007/mathematics-for-machine-learning-and-data-science-specialization-coursera

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
https://github.com/greyhatguy007/mathematics-for-machine-learning-and-data-science-specialization-coursera

calculus coursera coursera-assignment coursera-data-science coursera-machine-learning coursera-mathematics coursera-specialization deep-learning deeplearning-ai gradient linear-algebra machine-learning math4ml matrices probability python statistics

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Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Host: GitHub
URL: https://github.com/greyhatguy007/mathematics-for-machine-learning-and-data-science-specialization-coursera
Owner: greyhatguy007
Created: 2023-05-27T17:33:20.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-06-02T18:02:18.000Z (over 1 year ago)
Last Synced: 2025-01-11T15:07:55.974Z (10 days ago)
Topics: calculus, coursera, coursera-assignment, coursera-data-science, coursera-machine-learning, coursera-mathematics, coursera-specialization, deep-learning, deeplearning-ai, gradient, linear-algebra, machine-learning, math4ml, matrices, probability, python, statistics
Language: Jupyter Notebook
Homepage: https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science
Size: 82.8 MB
Stars: 524
Watchers: 6
Forks: 236
Open Issues: 2
Metadata Files:
- Readme: README.md

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README

        # Mathematics for Machine Learning and Data Science Specialization - Coursera

![title-banner](https://github.com/greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera/assets/77543865/42742826-89a3-41c4-aa6a-6d0f83b260b6)

Mathematics for Machine Learning and Data Science Specialization offered by deeplearning.ai , instructed by Luis Serrano on Coursera.






## Course 1 : [Linear Algebra for Machine Learning and Data Science](https://www.coursera.org/learn/machine-learning-linear-algebra)




- [Week 1](/C1/w1/)

  - [Ungraded Lab - Introduction To Numpy Arrays](/C1/w1/lab/C1_W1_Lab_1_introduction_to_numpy_arrays.ipynb)

  - [Ungraded Lab - Solving Linear Systems : 2 Variables](/C1/w1/lab/C1_W1_Lab_2_solving_linear_systems_2_variables.ipynb)

  - [Practice Quiz - Solving Systems of Linear Equations](/C1/w1/pq1/)

  - [Graded Quiz - Matrices](/C1/w1/q1/)

  - [Lecture Materials](/C1/w1/C1w1notes.pdf)




- [Week 2](/C1/w2/)

  - [Ungraded Lab - Solving Linear Systems : 3 Variables](/C1/w2/C1w2_ungraded_lab.ipynb)

  - [Graded Quiz - The Rank of a Matrix](/C1/w2/q1/)

  - [Programming Assignment - System of Linear Equations](/C1/w2/C1w2_graded_lab/)

  - [Lecture Materials](/C1/w2/C1w2notes.pdf)




- [Week 3](/C1/w3/)

  - [Ungraded Lab - Vector Operations](/C1/w3/lab/C1_W3_Lab_1_vector_operations.ipynb)

  - [Ungraded Lab - Matrix Multiplication](/C1/w3/lab/C1_W3_Lab_2_matrix_multiplication.ipynb)

  - [Ungraded Lab - Linear Transformations](/C1/w3/lab/C1_W3_Lab_3_linear_transformations.ipynb)

  - [Practice Quiz - Vector operations: Sum, difference, multiplication, dot product](/C1/w3/pq1)

  - [Graded Quiz - Vector and Matrix Operations, Types of Matrices](/C1/w3/q1/)

  - [Programming Assignment - Single Perceptron Neural Networks for Linear Regression](/C1/w3/C1w3_graded_lab/)

  - [Lecture Materials](/C1/w3/C1w3notes.pdf)




- [Week 4](/C1/w4/)

  - [Graded Quiz - Eigenvalues and Eigenvectors](/C1/w4/q1/)

  - [Programming Assignment - Eigenvalues and Eigenvectors](/C1/w4/C1w4_graded_lab/)

  - [Lecture Materials](/C1/w4/C1w4notes.pdf)




### [Certificate Of Completion](https://coursera.org/share/4dcac0c68e690f1947739cc62143dc78)






## Course 2 : [Calculus For Machine Learning and Data Science](https://www.coursera.org/learn/machine-learning-calculus)




- [Week 1](/C2/w1/)

  - [Practice Quiz - Derivatives](/C2/w1/pq1/)

  - [Ungraded Lab - Differentiation in Python](/C2/w1/C2_W1_Lab_1_differentiation_in_python.ipynb)

  - [Graded Quiz - Derivatives and Optimization](/C2/w1/q1/)

  - [Programming Assignment - Optimizing Functions of One Variable: Cost Minimization](/C2/w1/C2w1_graded_lab/)

  - [Lecture Materials](/C2/w1/C2w1notes.pdf)




- [Week 2](/C2/w2/)

  - [Practice Quiz - Partial Derivatives and Gradient](/C2/w2/pq1/)

  - [Ungraded Lab - Optimization Using Gradient Descent in One Variable](/C2/w2/lab/C2_W2_Lab_1_Optimization_Using_Gradient_Descent_in_One_Variable.ipynb)

  - [Ungraded Lab - Optimization Using Gradient Descent in Two Variables](/C2/w2/lab/C2_W2_Lab_2_Optimization_Using_Gradient_Descent_in_Two_Variables.ipynb)

  - [Graded Quiz - Partial Derivatives and Gradient Descent](/C2/w2/q1/)

  - [Programming Assignment - Optimization Using Gradient Descent: Linear Regression](/C2/w2/C2w2_graded_lab/)

  - [Lecture Materials](/C2/w2/C2w2notes.pdf)




- [Week 3](/C2/w3/)

  - [Practice Quiz - Optimization in Neural Networks](/C2/w3/pq1/)

  - [Ungraded Lab - Regression with Perceptron](/C2/w3/lab/C2_W3_Lab_1_Regression_with_Perceptron.ipynb)

  - [Ungraded Lab - Classification with Perceptron](/C2/w3/lab/C2_W3_Lab_2_Classification_with_Perceptron.ipynb)

  - [Ungraded Lab - Optimization Using Newtons Method](/C2/w3/lab/C2_W3_Lab_3_Optimization_Using_Newtons_Method.ipynb)

  - [Graded Quiz - Optimization in Neural Networks and Newton's Method](/C2/w3/q1/)

  - [Programming Assignment - Neural Network with Two Layers](/C2/w3/C2w3_graded_lab/)

  - [Lecture Materials](/C2/w3/C2w3notes.pdf)




### [Certificate Of Completion](https://coursera.org/share/5fa3a336a4fdfcb89879b8b828f8abbe)






## Course 3 : [Probability & Statistics for Machine Learning & Data Science](https://www.coursera.org/learn/machine-learning-probability-and-statistics)




- [Week 1](/C3/w1/)

  - [Ungraded Lab - Birthday Problems](/C3/w1/lab/C3_W1_Lab_2_Birthday_Problems.ipynb)

  - [Practice Quiz](/C3/w1/pq1/)

  - [Graded Quiz - Summative quiz](/C3/w1/q1/)

  - [Programming Assignment: Probability Distributions / Naive Bayes](/C3/w1/C3w1_graded_lab/)




- [Week2](/C3/w2/)

    - [Practice Quiz](/C3/w2/pq1/)

    - [Graded Quiz - Summative Quiz](/C3/w2/q1/)

    - [Optional Lab - Summary statistics and visualization of data sets](/C3/w2/lab/ugl_datasets.ipynb)

    - [Optional Lab - Dice Simulations](/C3/w2/lab/C3_W2_Lab_2_Dice_Simulations.ipynb)

    - [Programming Assignment: Loaded Dice](/C3/w2/C3w2_graded_lab/)




- [Week 3](/C3/w3/)

    - [Optional Lab - Sampling data from different distribution and studying the distribution of sample mean](/C3/w3/lab/)

    - [Practice Quiz](/C3/w3/pq1/)

    - [Graded Quiz - Summative Quiz](/C3/w3/q1/)




- [Week 4](/C3/w4/)

    - [Practice Quiz](/C3/w4/pq1/)

    - [Graded Quiz - Summative Quiz](/C3/w4/q1/)

    - [Programming Assignment: A/B Testing](/C3/w4/C3w4_graded_lab/)




### [Certificate Of Completion](https://coursera.org/share/10ba65d22dca9278c5119d7511bcec0b)






## [Specialization Certificate](https://coursera.org/share/ea6107e80f98b4d1f05b9263413f39c6)