antonpiru's Stars
matiasbattocchia/crunchbase-ml
Machine learning on Crunchbase data set
snehasinghania/CrunchbaseWrapper
Scraper to get data from crunchbase.com and read - write the data using SQLite database and JSON file.
alexnakagawa/vc_holy_grail
Predicting the likelihood of success for startups and their founders
Crystalnix/crunchbase-ml
Merge and Acquisitions Prediction based on M&A information from Crunchbase.
susanli2016/Data-Analysis-with-R
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
joelparkerhenderson/pitch-deck
Pitch deck advice for startup founders who want to raise venture capital investment
fastai/course-nlp
A Code-First Introduction to NLP course
owainlewis/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Borye/machine-learning-coursera-1
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
hb20007/hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Zhenye-Na/machine-learning-uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
mbadry1/Top-Deep-Learning
Top 200 deep learning Github repositories sorted by the number of stars.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
nickdl/alpha
Intraday S&P 500 index dataset creation
alpacahq/roboadvisor
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
mjwestcott/Goodrich
The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser
colinskow/move37
Coding Demos from the School of AI's Move37 Course