Pinned Repositories
CityUniversity2014
Dan Dixey's MSc Data Science Files
Data-Science-in-Python
Tutorial on Data Science in Python
deeplearning-1
Python implementation of Deep Learning book
Exploring-and-Preparing-your-Data-with-BigQuery
BigQuery on GCP by Coursera
go-web
Source code for the book "Web Development with Go"
golang-web-dev
Machine-Learning-Algorithms
Code repository for Machine Learning Algorithms, published by Packt
Pivot_Table_in_Pandas_tutorial
Introduction to pivo ttable in Pandas
React-Front-to-Back-2022
Full Stack React App
Yelp-Project-Github
MSBA Semester 1 Yelp Project-Data Analysis in R
AkiraKane's Repositories
AkiraKane/data-science-course
Data Science Course Materials - Fall 2014
AkiraKane/interview_prep
Preparing for Data Science Interviews
AkiraKane/python-class
Sunlight's 2014 Summer Python class for beginners
AkiraKane/FinancialEngineering
Some examples of machine learning applied to finance
AkiraKane/dataprojects
Projects for The Data Incubator, this summer
AkiraKane/julia-100-exercises
julia version of 100 numpy exercises
AkiraKane/Practical-Machine-Learning
Notes and code from Practical Machine Learning course slides
AkiraKane/General_Assembly_Work
The work I did when I was in the Web Development Immersive.
AkiraKane/computer-science
Contains the basic fundamental data structures and algorithms a front end engineer should know, written all in JavaScript.
AkiraKane/DataScienceTakeHome
take home case interview for a tech company
AkiraKane/euler-1
my solutions for project euler problems
AkiraKane/datascience-sp14
Repository for data science course Spring 14
AkiraKane/theano_exercises
Exercises for my tutorials on Theano
AkiraKane/scalaML-1
scalaML
AkiraKane/MachineLearning-1
Machine Learning Algorithms in R
AkiraKane/DAT4
Class Materials for General Assembly's Data Science course held in San Francisco
AkiraKane/intermediate-python
Annotated content initially for an Intermediate Python video series and Creative Commons pulication
AkiraKane/python-2
Python tutorial
AkiraKane/MachineLearningLectures
Code to demonstrate basic machine learning algorithms following on Stanford CS229.
AkiraKane/content
Official content for Harvard CS109
AkiraKane/interview
Interview problems for C3 Energy Data Science Team
AkiraKane/GooglePythonCourse
my code for google's python course
AkiraKane/mlia-scala
Machine Learning In Action for Scala
AkiraKane/ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
AkiraKane/LearnDataScience
Open Content for self-directed learning in data science
AkiraKane/GA_Data_Science
Data Science Materials from General Assembly
AkiraKane/big-data-tutorial
Big Data Tutorial
AkiraKane/interview-1
A repo to keep interview problems for software engineering candidates.
AkiraKane/sklearn_pycon2013
Files for my scikit-learn tutorial at PyCon 2013
AkiraKane/storm
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more