tirthajyoti / Dask-analytics-MLLinks
Data science and ML with Dask
☆14Updated 4 years ago
Alternatives and similar repositories for Dask-analytics-ML
Users that are interested in Dask-analytics-ML are comparing it to the libraries listed below
Sorting:
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 4 years ago
- A neural network hyper parameter tuner☆30Updated 2 years ago
- ☆21Updated 2 years ago
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated last year
- An end-to-end model for using and deploying Watson Machine Learning and Planning Analytics!☆13Updated 4 years ago
- ☆18Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- ☆19Updated 4 years ago
- Graph Theory Algorithm is implemented in python. Jupyter Notebook is used to demonstrate the concept and Networkx library is used in seve…☆26Updated 7 years ago
- Codes for replication and implementation of techniques in our credit risk article☆34Updated 6 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 4 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- ☆14Updated 4 years ago
- Materials for the SciPy 2019 RAPIDS tutorial☆22Updated 6 years ago
- Exploratory Data Analysis with Python☆22Updated 2 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- ☆13Updated 5 years ago
- Data mining algorithms with Python☆10Updated 6 years ago
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 3 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …☆30Updated 5 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- Loan Risk Prediction Neural Network and API☆17Updated 5 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Work for Mastering Large Datasets with Python☆20Updated 3 years ago
- This project demonstrates the use of Deep Learning to detect emotion (sad, angry, happy etc) from the images of faces.☆11Updated 5 years ago
- Learning design patterns in Python 3☆34Updated 8 years ago