dtnewman / stochastic_gradient_descent
An IPython notebook showing the basics of implementing gradient descent and stochastic gradient descent in Python
☆65Updated last year
Alternatives and similar repositories for stochastic_gradient_descent:
Users that are interested in stochastic_gradient_descent are comparing it to the libraries listed below
- This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube☆126Updated 4 years ago
- Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…☆41Updated 10 years ago
- This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube☆87Updated 7 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆41Updated 3 weeks ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 7 years ago
- This is the code for "Logistic Regression - The Math of Intelligence (Week 2)" By SIraj Raval on Youtube☆78Updated 7 years ago
- Restricted Boltzmann Machine for collaborative filtering of movies.☆41Updated 6 years ago
- Tutorial for finite Gaussian mixture models in ptyhon notebook☆31Updated 7 years ago
- This is the code for "Q Learning Explained" by Siraj Raval on Youtube☆85Updated 6 years ago
- greedy feature selection based on ROC AUC☆125Updated 10 years ago
- Model for the Event Recommendation Engine Challenge on Kaggle.com☆43Updated 12 years ago
- This is the code for "Loss Functions Explained" By Siraj Raval on Youtube☆41Updated 6 years ago
- Classification of emotions based on age and pulse rate using Support Vector Machines☆31Updated 9 years ago
- This repository contains my various pet projects done on machine Learning and Deep learning.Some of them can be found on☆40Updated 7 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- Builds a recommender system using TensorFlow☆86Updated 7 years ago
- This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube☆121Updated 6 years ago
- ☆25Updated 5 years ago
- Time Series Analysis with Python☆345Updated 9 years ago
- Heuristic Optimization for Python☆72Updated 5 years ago
- A neural network with 3 layers made with just numpy as dependency☆26Updated 7 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 8 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆219Updated 8 years ago
- Recommender System Challenge by @Sirajology on Youtube☆79Updated 7 years ago
- Apriori algorithm implementation☆14Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube☆62Updated 5 years ago
- Simple tutorials using Keras Framework☆267Updated 8 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- Multilayer Neural Network using numpy.☆55Updated 8 years ago