Pinned Repositories
2015
Public material for CS109
Blog_Notes
Subscribe to the Learning Loop newsletter where I share content about data science, responsible AI, and software engineering for ML engineers/Deep Learning Engineers. Don't miss out.
Cocoin
A platform for evaluation of your finance on daily lives
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
faang_sql_questions_postgresql
This repository is used to practice your SQL using PostgreSQL by questions of FAANG Companies.
Facebook-Auth-with-Laravel
Learning how to use laravel by implementing Facebook Authentification
Flight-Price-Prediction
This project is used to predict flight airfare. I use Flight Price Dataset provided by Kaggle Flight Price
Machine-Learning-Specialization
A new Machine Learning Specialization Courses by Andrew NG
QuantiumAnalytics-VirtualInternship
This project is part of Quantium Data Analytics Virtual Internship provided by Forage Program to give hands-on daily jobs of a Data Analysts.
naiborhujosua's Repositories
naiborhujosua/Machine-Learning-Specialization
A new Machine Learning Specialization Courses by Andrew NG
naiborhujosua/Blog_Notes
Subscribe to the Learning Loop newsletter where I share content about data science, responsible AI, and software engineering for ML engineers/Deep Learning Engineers. Don't miss out.
naiborhujosua/Library-box
📚Update a pinned gist to contain your latest reads & Current read from Google Books For those without the GoodRead API key
naiborhujosua/strava-box
🏃♂️🏃♀️ Update a gist to contain your YTD exercise metrics from Strava
naiborhujosua/mlnotes_josua
This page catalogs my writings on a variety of topics related to my journey as a self-taught Machine learning Engineer, kaggle competition, books i am currently reading, papers, and related interests. Primary topics include Data Science, Machine Learning, Data Visualization, and Deep Learning
naiborhujosua/naiborhujosua.github.io
✨ Writing about machine learning and deep learning content
naiborhujosua/antisimplistic
PhD research, notes, and projects.
naiborhujosua/approachingalmost
Approaching (Almost) Any Machine Learning Problem
naiborhujosua/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
naiborhujosua/Data-Science-Interview-Python
Data Structure and Algorithms in Python
naiborhujosua/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
naiborhujosua/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
naiborhujosua/fastpages-1
fastpages
naiborhujosua/HackathonF1
naiborhujosua/hadge
💪 Export workout data from Health.app on iOS to a GitHub repo
naiborhujosua/hello-github-actions
naiborhujosua/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
naiborhujosua/ivy
The Unified Machine Learning Framework
naiborhujosua/lang-box
💻 Update a pinned gist to contain languages of your recent commits in GitHub
naiborhujosua/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
naiborhujosua/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
naiborhujosua/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
naiborhujosua/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
naiborhujosua/naiborhujosu.github.io
This repo catalogs my writings on a variety of topics related to kaggle competition, books i am currently reading, papers, and related interests. Primary topics include Data Science, Machine Learning, Data Visualization, and Deep Learning
naiborhujosua/naiborhujosua
naiborhujosua/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
naiborhujosua/pymc-resources
PyMC educational resources
naiborhujosua/Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
naiborhujosua/tsdn-insurance-hackathon2022
TSDN2022-Insurance-Hackathon
naiborhujosua/website
Personal website with ML blog, project portfolio and more of my work