Jun Hua Wong's repositories
datascience-essentials
Data science repo that contains DS topics/ questions, SQL problems, statistics questions, and ML models tutorial.
firefighter
Inspired by the wildfires that happened in the northern California region in 2019. Scraped weather and geospatial data and performed wildfire region classification (high vs low risk) using SVM that is coded from scratch.
Movie-Recommender-System
Inspired by recommender systems on NetFlix. Utilized collaborative filtering model and content-based model and deployed as a web application using Flask
awesome-mlops
A curated list of references for MLOps
daily-coding-problems
Daily coding problems with solutions and explanation behind the code. The problems are (mostly) sorted by the companies that asked them.
kaggle_dataset
This repo is a collection of data science projects that I have worked on/ currently working on using datasets from Kaggle.
pytorch_learning
Projects using PyTorch package to develop deep learning models
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
coding-interview-university
A complete computer science study plan to become a software engineer.
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
deep-significance
Enabling easy statistical significance testing for deep neural networks.
dviz-course
Data visualization course material
github-profile-summary-cards-example
github-profile-summary-cards' template
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.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
machine_learning_for_good
Machine learning fundamentals lesson in interactive notebooks
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
python-cheatsheet
Comprehensive Python Cheatsheet
sepsis_prediction
Sepsis can be unpredictable yet fatal. This is a project focusing on sepsis prediction using dataset from PhysioNet.
vae-anomaly-detection
Using variational autoencoder for anomaly detection