{"repo":"greyhatguy007/Machine-Learning-Specialization-Coursera","free":true,"listed":false,"github":"https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera","clone":"git clone https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera.git","description":"Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG","language":"Jupyter Notebook","stars":7783,"topics":["andrew-ng","andrew-ng-machine-learning","coursera","coursera-assignment","coursera-specialization","deep-learning","linear-regression","logistic-regression","machine-learning","python"],"license":"MIT","category":"machine-learning","readme_excerpt":"Machine Learning Specialization Coursera Contains Solutions and Notes for the Machine Learning Specialization by Andrew NG on Coursera Note : If you would like to have a deeper understanding of the concepts by understanding all the math required, have a look at Mathematics for Machine Learning and Data Science Course 1 : Supervised Machine Learning: Regression and Classification - Week 1 - Practice quiz: Regression - Practice quiz: Supervised vs unsupervised learning - Practice quiz: Train the model with gradient descent - Optional Labs - Model Representation - Cost Function - Gradient Descent - Week 2 - Practice quiz: Gradient descent in practice - Practice quiz: Multiple linear regression - Optional Labs - Numpy Vectorization - Multi Variate Regression - Feature Scaling - Feature Engineering - Sklearn Gradient Descent - Sklearn Normal Method - Programming Assignment - Linear Regression - Week 3 - Practice quiz: Cost function for logistic regression - Practice quiz: Gradient descent for logistic regression - Optional Labs - Classification - Sigmoid Function - Decision Boundary - Logistic Loss - Cost Function - Gradient Descent - Scikit Learn - Logistic Regression - Overfitting - Regularization - Programming Assignment - Logistic Regression Certificate Of Completion Course 2 : Advanced Learning Algorithms - Week 1 - Practice quiz: Neural networks intuition - Practice quiz: Neural network model - Practice quiz: TensorFlow implementation - Practice quiz : Neural Networks Implem","default_branch":null,"files":null,"tree":[],"storefront":"/r/greyhatguy007","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/greyhatguy007/Machine-Learning-Specialization-Coursera/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}