Pinned Repositories
Applied-Machine-Learning
https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
blog_stuff
experiments and snippets used on the blog
ChatScript
Natural Language tool/dialog manager
coding
An attempt to revisit competitive / interview coding
kaggle-happiness
Predicting happiness from demographics and poll answers
practicalAI
A practical approach to learning machine learning.
mldeveloper01's Repositories
mldeveloper01/adityaas.github.io
Personal webpage
mldeveloper01/Data-Governance
It’s all about how you handle the data collected within your business.
mldeveloper01/EnterpriseArchitecture
What is Enterprise Architecture (EA)
mldeveloper01/data-science
:bar_chart: Path to a free self-taught education in Data Science!
mldeveloper01/programing-books
mldeveloper01/Microservices-Architecture-Guidelines
Designing a Microservices Architecture
mldeveloper01/SoftwareArchitect
Path to a Software Architect
mldeveloper01/software-engineer-roadmap
Software Engineer Roadmap for 2020 (Software world roadmap/guide)
mldeveloper01/python-data-science-and-machine-learning-bootcamp-jose-portilla
mldeveloper01/hpfrec
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
mldeveloper01/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
mldeveloper01/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.
mldeveloper01/DataScience
Useful scripts and notebooks for Data Science
mldeveloper01/python-microservices
simple microservices
mldeveloper01/awesome-interpretable-machine-learning
mldeveloper01/Design-and-Analysis-of-Algorithms
Algorithms and Data Structures.
mldeveloper01/AIBootcamp-2019
AI bootcamp 2019 materials.
mldeveloper01/Microservices-Books
"When services are loosely coupled, a change to one service should not require a change to another." ― Sam Newman
mldeveloper01/machine-learning-systems-design
A booklet on machine learning systems design with exercises
mldeveloper01/Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building practical production-level deep learning systems to be deployed in real world applications.
mldeveloper01/PrestaShop
PrestaShop offers a fully scalable open source ecommerce solution.
mldeveloper01/hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
mldeveloper01/machine-learning-books
mldeveloper01/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
mldeveloper01/Udemy---Python-for-Data-Science-and-Machine-Learning-Bootcamp
Udemy course by Jose Portilla on using Python for Data Science.
mldeveloper01/coding-exercises
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
mldeveloper01/AI-lectures
Lecture slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths
mldeveloper01/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mldeveloper01/disk-failure-prediction
This repository contains notebooks to Download, Preprocess and get started working with the back blaze data
mldeveloper01/pandas-mentoring
Mentoring new pandas contributors.