Dr Purushottam 's repositories
machine-learning-flashcards
Machine learning flashcards
100-days-of-Machine-Learning
A small challenge to get started with machine learning.I will be starting from scratch so everyone can follow me.And those who have basic understanding can also follow to revise all the concepts of Machine Learning
100-Days-of-ML-Code-1
My progress on the #100-days-of-ML-code challenge.
Analyzing_Medium
The Selenium scraper used to collect data from one million Medium articles.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
DCamp-Live-Code-practice
Self study/practice material Notes by Dr Purshottam
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepZine
Synthetic book pages created with a PGGAN
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Food-Recipe-CNN
DeepChef: Classification of Cooking Dishes with Machine Learning 🍇 🍪
Free-Computer-Science-University
So after watching all the resources i thaught to put all the important technical courses in one place.And help those people who wants to learn computer science.All the courses are free here.
hacker_rank
Code challenges completed at HackerRank
Income-Prediction-Webapp
Flask based Web application for predicting the income of a person
learn-python
📚 Playground and cheatsheet for learning Python
ml-videos
A collection of video resources for machine learning
mlcourse.ai
Open Machine Learning course mlcourse.ai, both in English and Russian
NoteBook-Buddy
Jupyter Buddy is a Chrome and Firefox Extension that provides a helping hand while using jupyter notebooks
practicalAI
A practical approach to learning machine learning.
pypeln
Concurrent data pipelines made easy
python-shortcuts
Create Siri Shortcuts with Python
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Student-Materials
Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
Vertica-ML-Python
Vertica-ML-Python is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities. It supports the entire data science life cycle, uses a ‘pipeline’ mechanism to sequentialize data transformation operation (called Resilient Vertica Dataset), and offers multiple graphical rendering possibilities.