WillKoehrsen / mastering-large-datasetsLinks
Work for Mastering Large Datasets with Python
☆20Updated 2 years ago
Alternatives and similar repositories for mastering-large-datasets
Users that are interested in mastering-large-datasets are comparing it to the libraries listed below
Sorting:
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Data Science for Good Projects☆49Updated 7 years ago
- ☆19Updated 4 years ago
- Introduction to Pandas, Scikit-Learn and Keras☆13Updated 6 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆63Updated 2 years ago
- A tutorial to create python based prediction web app☆30Updated 5 years ago
- ☆26Updated 5 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆53Updated 5 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- ☆16Updated 6 years ago
- ☆101Updated 7 years ago
- Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features☆34Updated 6 years ago
- ☆12Updated 6 years ago
- ☆23Updated 2 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
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- Project template for highly effective data science workflows☆29Updated last year
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- BASM - 2017 Spring☆26Updated 7 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 6 years ago
- Applied Machine Learning with Python☆80Updated last year
- Pandas integration with sklearn☆21Updated 8 years ago