chaitanyaS's repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
optimizing-web-apps-webpack
Code samples for my webpack course series
DSE220_Machine_Learning
Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.
deep-learning-1
Deep Learning Bootcamp
datascience
It consists of examples, assignments discussed in data science course at algorithmica.
full-stack-data-science
Full Stack Data Science in Python
multidim
Visualising Multi Dimensional Data
ebooks-1
Collection of eBooks
hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
system-design
Preparing for system design interview questions
go-design-patterns-1
Design patterns implemented with Golang
ML-From-Scratch
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
Coursera-ML
Machine Learning with Coursera
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Make-IT-Work-5
Material from MIW5 course or relevant resources
interview-resources
long list of resources for preparing for technical computer engineering interviews
self-driving-car
The Udacity open source self-driving car project
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
MachineLearning
Basic Machine Learning and Deep Learning
design-patterns
It consists of all code examples discussed as part of design patterns course at algorithmica
weed
Analysing Weed Pricing across US - Data Analysis Workshop