eclarson / DataMiningNotebooksLinks
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
☆180Updated 4 years ago
Alternatives and similar repositories for DataMiningNotebooks
Users that are interested in DataMiningNotebooks are comparing it to the libraries listed below
Sorting:
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆329Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 5 months ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆182Updated 8 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 7 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆41Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆113Updated 8 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆92Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆280Updated 8 years ago
- Statistics for Machine Learning, published by Packt☆160Updated 2 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Updated 8 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆270Updated 5 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 8 years ago
- Code files added☆100Updated 2 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆58Updated 9 years ago
- Code from Jason Brownlee's course on mastering machine learning☆126Updated 8 years ago
- ☆101Updated 7 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…☆28Updated 7 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 8 years ago
- Python script to pull machine learning flashcards from Chris Albon's twitter feed☆81Updated 6 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆264Updated 7 years ago
- Machine Learning Implementations in Python☆64Updated 4 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆236Updated 2 years ago