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:
- Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive,…☆34Updated 8 years ago
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆100Updated 8 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Updated 7 years ago
- Workshop: Python for Data Science☆62Updated 10 years ago
- Applied Data Science with Python Specialization: Course 4 (University of Michigan)☆28Updated 7 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago
- A short tutorial notebook on PySpark☆15Updated 9 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.☆43Updated 6 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 8 years ago
- Repository for code used in Kaggle competitions.☆22Updated 6 years ago
- General Assembly repo for Data Science 18☆36Updated 10 years ago
- Official Public site for CS109a Fall 2018☆34Updated 7 years ago
- iPython NOtebooks on Stats☆164Updated 10 months ago
- ☆213Updated 3 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- This is the code for the "Visualizing Data with D3.js" Live stream by @Sirajology on Youtube☆20Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Metis Data Science Portfolio - Summer 2017☆26Updated 7 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- A curated list of data science blogs☆22Updated 9 years ago