Machine learning with Python tutorial at MSU Data Science 2018
☆111Feb 21, 2018Updated 8 years ago
Alternatives and similar repositories for msu-datascience-ml-tutorial-2018
Users that are interested in msu-datascience-ml-tutorial-2018 are comparing it to the libraries listed below
Sorting:
- scikit-learn: machine learning in Python☆18Oct 16, 2021Updated 4 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆11Aug 20, 2018Updated 7 years ago
- Code material for a data science tutorial☆197Jul 3, 2017Updated 8 years ago
- Introduction to Python for Data Science☆39Nov 2, 2017Updated 8 years ago
- Source code for 'Python Data Analytics' by Fabio Nelli☆19Mar 28, 2017Updated 8 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Sep 7, 2017Updated 8 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,820Oct 2, 2020Updated 5 years ago
- ☆33Feb 8, 2017Updated 9 years ago
- Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"☆21May 22, 2018Updated 7 years ago
- Source code for 'Introduction to Python for Engineers and Scientists' by Sandeep Nagar☆14Dec 4, 2017Updated 8 years ago
- ☆11Jun 3, 2019Updated 6 years ago
- Reproducible repository skeleton☆10Jan 23, 2026Updated last month
- Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library☆11Apr 13, 2018Updated 7 years ago
- A Los Angeles Times theme for Python's Altair statistical visualization library☆12May 20, 2021Updated 4 years ago
- ☆13Aug 24, 2016Updated 9 years ago
- 📈 Stock embeddings based on PE context☆74May 26, 2017Updated 8 years ago
- Spectral Norm + Conditional GAN☆24Apr 6, 2018Updated 7 years ago
- 自己总结的机器学习的算法与相应的程序☆20Dec 25, 2018Updated 7 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆51Dec 19, 2018Updated 7 years ago
- Materials for March 12 ENAR short course on Data Science for Statisticians☆47Mar 22, 2017Updated 8 years ago
- Neural Network Models for Multi-label learning☆17Oct 13, 2020Updated 5 years ago
- Lecture notes & materials for the Autumn 2017 version of this course☆10Nov 15, 2017Updated 8 years ago
- ☆11Mar 14, 2016Updated 9 years ago
- ☆15Sep 20, 2018Updated 7 years ago
- Some experiments with recommendation systems☆28Mar 26, 2018Updated 7 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆35May 18, 2017Updated 8 years ago
- Visualisation for EDA☆32Apr 25, 2017Updated 8 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Aug 27, 2025Updated 6 months ago
- Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…☆173Dec 6, 2021Updated 4 years ago
- Codes&Datasets☆17Jun 27, 2021Updated 4 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- An algorithm for classification from a graph-sparse support☆15Jan 30, 2019Updated 7 years ago
- ☆10Aug 25, 2015Updated 10 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Apr 9, 2015Updated 10 years ago
- A repo with tutorials for algorithms from scratch☆102Jun 9, 2018Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Jun 11, 2018Updated 7 years ago
- Implementation of different machine learning techniques☆94May 23, 2018Updated 7 years ago
- Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris☆1,465Aug 16, 2024Updated last year
- ☆13Feb 17, 2018Updated 8 years ago