marcotav / unsupervised-learning
This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.
☆18Updated 6 years ago
Alternatives and similar repositories for unsupervised-learning:
Users that are interested in unsupervised-learning are comparing it to the libraries listed below
- Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a paint…☆51Updated 5 years ago
- This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websit…☆44Updated 5 years ago
- This repo contains a detailed exploratory analysis of the West Nile Virus outbreak in the US and a statistical analysis of SAT and ACT de…☆10Updated 6 years ago
- This is a list of my published works. For more details check my Google Scholar profile.☆10Updated 4 years ago
- This repo contains my natural language processing projects including the use of neural language models for text generation based on Spino…☆25Updated 5 years ago
- Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features☆33Updated 5 years ago
- Various conv nets using TensorFlow, Keras, or other tools☆14Updated 6 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Lending Club Loan data analysis☆45Updated 6 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 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Building simple ML apps with Streamlit☆24Updated 3 years ago
- A tutorial demonstrating how to implement deep learning models for time series forecasting☆12Updated 5 years ago
- Scalable Data Analysis in Python with Dask, by Packt publishing☆11Updated 4 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- Mathematical modeling for finantial time series data☆42Updated 6 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated 2 years ago
- Applied Finance Project from UCLA Anderson, using natural language processing techniques to classify and summarize quantitative finance r…☆18Updated 6 years ago
- Recurrent Neural Networks for Timeseries☆24Updated 5 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆36Updated 5 years ago
- Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"☆10Updated 5 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆22Updated 6 years ago
- ☆27Updated 6 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 5 years ago
- ☆19Updated 9 years ago
- ☆102Updated 6 years ago
- Resources for Data Science Kick Starter Workshop at ODSC India 2019☆20Updated 4 years ago
- Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, prob…☆30Updated 5 years ago
- A directory of the top business machine learning vendors☆14Updated 3 years ago