mainkoon81 / Study-09-MachineLearning-E
**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Study-09-MachineLearning-E
- Hypothesis testing (Parametric/Non-Parametric)☆11Updated 5 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 6 years ago
- Repo for PyData 2018 tuorial☆12Updated 6 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆10Updated 7 years ago
- The 2020 Version of the Deep Learning Course☆8Updated 4 years ago
- A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.☆17Updated 5 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 5 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 5 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 5 years ago
- Links to Machine Learning Blogs☆12Updated 4 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 2 years ago
- Scikit-Learn's linear regression extended with p-values.☆9Updated 6 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 6 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆24Updated 6 years ago
- Lecture content for Intro to Data Science 2018☆35Updated 6 years ago
- ProbabilisticProgrammingPrimer for PyData London☆10Updated 3 months ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 6 years ago
- Mathematical preliminaries for machine learning☆18Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health☆19Updated 8 years ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆42Updated 7 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated last year
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- machine learning☆37Updated 6 years ago
- Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.☆20Updated 5 years ago
- Two hour interactive machine learning workshop☆22Updated 4 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆40Updated 3 years ago