jmartinezheras / 2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
☆352Updated last year
Related projects: ⓘ
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆246Updated 5 years ago
- ☆91Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆318Updated last year
- In this repository, I will upload some projects I have been working on. These include building algorithms from scratch, as well as some a…☆70Updated 5 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆444Updated 4 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆262Updated 4 years ago
- Deep Learning Study Group☆305Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆269Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆283Updated 6 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆205Updated last year
- A repo with tutorials for algorithms from scratch☆100Updated 6 years ago
- Python Machine Learning Algorithms☆95Updated last year
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- ☆219Updated this week
- IPython widgets, interactive plots, interactive machine learning☆150Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆487Updated 5 years ago
- Machine Learning Tutorials in Python☆190Updated 3 years ago
- Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?☆262Updated 5 years ago
- Code material for a data science tutorial☆194Updated 7 years ago
- First projects delivered in Metis Bootcamp (Spring 2018)☆9Updated 5 years ago
- based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)☆316Updated 7 years ago
- Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"☆234Updated 2 years ago
- The code for the prize winners in DrivenData competitions.☆377Updated last month
- Stanford Machine Learning course exercises implemented with scikit-learn☆340Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Class Applied Deep Learning - Summer 2018☆32Updated 6 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 4 years ago
- Projects built during AI Saturdays programmes☆35Updated 2 months ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆132Updated 4 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago