parulnith / Elements-of-Functional-Programming-in-Python
Learn how to how to use the lambda, map, filter and reduce functions in Python to transform data structures.
☆15Updated 5 years ago
Alternatives and similar repositories for Elements-of-Functional-Programming-in-Python:
Users that are interested in Elements-of-Functional-Programming-in-Python are comparing it to the libraries listed below
- ☆31Updated 5 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Updated 8 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 6 years ago
- The fast.ai data ethics course☆15Updated 2 years ago
- Tutorials for getting the most out of Matplotlib☆22Updated 4 years ago
- 📝 A blog post about report generation and automation in python☆40Updated 5 years ago
- Classic Computer Science Problems with Python☆27Updated 5 years ago
- Lending Club Loan data analysis☆45Updated 6 years ago
- ☆24Updated 11 years ago
- ☆102Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- ☆40Updated 7 years ago
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 2 years ago
- ☆10Updated 6 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- In which I implement some applications of machine learning techniques.☆30Updated 8 years ago
- Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay☆68Updated 6 years ago
- Source code for ' Data Science Fundamentals for Python and MongoDB' by David Paper☆31Updated 6 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆37Updated 6 years ago
- Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.☆38Updated 2 years ago
- ☆19Updated 3 years ago
- ☆22Updated 2 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Data☆20Updated 7 years ago