Billy Odera's repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-gradient-boosting
A curated list of Gradient Boosting resources for Data Scientists
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
code_py
A collection of well-commented code snippets for data science
data-science-resources
A list of resources to get started in Data Science
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
dm-flow
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
For-Data-Science-Beginners
Set of 📝 with 🔗 to help those who are Data Science beginners 🤖
knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Machine-Learning-1
My Implementation of Machine Learning models
MachineLearningNotebooks
Use the example notebooks in this repo to explore the Azure Machine Learning service.
mlcourse.ai
Open Machine Learning Course
PerformanceScoreCard
Get performance metrics and graphs of a scorecard
pipenv
Python Development Workflow for Humans.
pipreqs
pipreqs - Generate pip requirements.txt file based on imports of any project
python-sprints.github.io
Python Sprints website
python_reference
Useful functions, tutorials, and other Python-related things
SAS_Books
Good books to read on SAS
TensorFlow-Deep-Learning-Projects
TensorFlow Deep Learning Projects, published by Packt
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow