mGalarnyk / DSE220_Machine_LearningLinks
Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topic…
☆52Updated 7 years ago
Alternatives and similar repositories for DSE220_Machine_Learning
Users that are interested in DSE220_Machine_Learning are comparing it to the libraries listed below
Sorting:
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆100Updated 9 years ago
- Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive,…☆34Updated 8 years ago
- Workshop: Python for Data Science☆62Updated 10 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Machine Learning Implementations in Python☆64Updated 4 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago
- Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing☆33Updated 8 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 8 years ago
- Applied Machine Learning @ http://amitkaps.com/ml☆39Updated 6 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- Workshop and lesson on Exploratory Data Analysis☆12Updated 5 months ago
- Code files added☆99Updated 2 years ago
- iPython NOtebooks on Stats☆164Updated last year
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆112Updated 8 years ago
- Translating R Data Analyses to Python☆279Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- ☆66Updated 2 years ago
- materials for General Assembly Data Science DC course☆81Updated 10 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apach…☆116Updated last year
- Workshop: Intro to Python for Data Analysis☆72Updated 10 years ago