Jun Hua Wong's repositories

datascience-essentials

Data science repo that contains DS topics/ questions, SQL problems, statistics questions, and ML models tutorial.

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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.

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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

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awesome-mlops

A curated list of references for MLOps

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daily-coding-problems

Daily coding problems with solutions and explanation behind the code. The problems are (mostly) sorted by the companies that asked them.

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kaggle_dataset

This repo is a collection of data science projects that I have worked on/ currently working on using datasets from Kaggle.

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pytorch_learning

Projects using PyTorch package to develop deep learning models

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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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.

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deep-significance

Enabling easy statistical significance testing for deep neural networks.

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dviz-course

Data visualization course material

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github-profile-summary-cards-example

github-profile-summary-cards' template

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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.

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introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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machine_learning_for_good

Machine learning fundamentals lesson in interactive notebooks

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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python-cheatsheet

Comprehensive Python Cheatsheet

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sepsis_prediction

Sepsis can be unpredictable yet fatal. This is a project focusing on sepsis prediction using dataset from PhysioNet.

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vae-anomaly-detection

Using variational autoencoder for anomaly detection

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