Coursera Libraries

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Coursera Libraries

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

If you've finished the amazing introductory Machine Learning on Coursera by Prof. Andrew Ng, you probably got familiar with Octave/Matlab programming. With this repo, you can re-implement them in Pyt…

Coursera Machine Learning - Python code

This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignments in the course you are instructed to create complete, stand-alone Octav…

Complete path for a beginner to become a Machine Learning Scientist!

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intellig…

Cousera_Google-Data-Analytics-Professional-Certificate

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

About This workshop and the materials in this repo are for anyone who is interested in working with Data Science to produce high quality, working style! Check out follow course link if you think it i…

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Coursera_IBM-Data-Analyst-Professional-Certificate_OP

Quizzes & Assignment Solutions for IBM Data Analyst Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

The solutions uploaded in this repository are only for reference when you got stuck somewhere. Please don't use these solutions to pass programming assignments.

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Python Jupyter notebook (IPython) This repository does not contain optimal machine learning models! It only assesses various models that can be built using different machine learning algorithms (eith…

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

Solutions to assignments of the following Specializations on Coursera: NOTE: Please ★ the repo if you find it useful.

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

“So, ask yourself: If what you're working on succeeds beyond your wildest dreams, would you have significantly helped other people? If not, then keep searching for something else to work on. Otherwis…

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.

Contents: Programming Assignment #1: Linear Regression (Week 2) Programming Assignment #2: Logistic Regression (Week 3) Programming Assignment #3: Multi-class Classification and Neural Networks (Week…