Parul Pandey's Projects
Some useful Tips and Tricks to speed up the data analysis process in Python.
100 Days of ML Coding
A series of articles to get started into the field of Machine Learning with R language
Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.
Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools
The Selenium scraper used to collect data from one million Medium articles.
Using the matplotlib library to create some interesting animations.
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
A curated list of awesome machine learning interpretability resources.
Demo bear classifier with fastai and Voila
Aims to teach Python3 by example
A guide to creating a chatbot with Rasa stack and Python and deploying it on Slack
Building a Simple Chatbot from Scratch in Python (using NLTK)
Course Files for Complete Python 3 Bootcamp Course on Udemy
Reproducible containerized GPU computing for machine vision & A.I. applications: Docker, TensorFlow, TensorRT, PyTorch, OpenCV, CuPy, and PyCUDA - Feature & Pull Requests are welcome!
Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.
A collection of my blogs on Data Science and Machine learning.
Projects related to DataScience
A Repository consisting of various visualisation libraries and tools
An article on visualisation Data with R: from basic plots to advanced.
This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
data.table for Python
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Learn how to how to use the lambda, map, filter and reduce functions in Python to transform data structures.
Dataset for Emotion Classification