Joao Vitor B G's repositories
algorithms_in_ipython_notebooks
A repository with IPython notebooks of algorithms implemented in Python.
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
CLRS
Some exercises and problems in Introduction to Algorithms 3rd edition.
Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
datasciencecoursera
data scientist especialization
datasharing
The Leek group guide to data sharing
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
ExploringDataWithPython
Methods of data exploration and visualization using Python.
hypergrad
Exploring differentiation with respect to hyperparameters
imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
ISLR_Python
An Introduction to Statistical Learning with Applications in R... with Python
krishnanlab-teaching
Courses & workshops that members of the Krishnan Lab participate in
lmdiag
Python Library providing Diagnostic Plots for Linear Regression
machine-learning-coursera
This repository contains Python Implementation of certain programming assignments of Andrew Ng’s Machine Learning Course on Coursera, created by Stanford University.
Master-Data-Analysis-with-Python
Public Repository for the three-volume book series Master Data Analysis with Python (dunderdata.com/books)
negociacao
repositorio de materias relacionados ao tema negociacao
pandas-pipelines-custom-transformers
Material for Talk at PyData Seattle 2017
pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
Python_Hash_Table_Dictionary_Implementation
A custom dictionary (key value pair) implementation in Python using hash tables. Uses a load factor threshold for dynamic rehashing.
Virtual-Try-On
A virtual try on project based on cp-vton, OpenPose and JPPNet.