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ai-for-everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone – especially your non-technical colleagues – to take.

ai-for-good-specialization

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

ai6103_2020

Master of AI, Deep learning course AI6103, 2020

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

andrew-ng-machine-learning-notes

The offical notes of Andrew Ng Machine Learning in Stanford University

anova-in-python

applied-machine-learning-in-python

University of Michigan on Coursera

applied-plotting-charting-and-data-representation-in-python

University of Michigan on Coursera

applied-text-mining-in-python

University of Michigan on Coursera

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

browser-based-models-in-tensorflow-js

deeplearning.ai on Coursera

building-systems-with-the-chatgpt-api

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

ce7454_2018

Deep learning course CE7454, 2018

ce7454_2019

Deep learning course CE7454, 2019

ce7454_2020

Deep learning course CE7454, 2020

ce9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

ce9010_2020

CE9010 Introduction to Data Analysis, 2020

ce9010_2021

CE9010 Introduction to Data Analysis, 2021

chatgpt-prompt-engineering-for-developers

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

cheatsheets

Collection of cheatsheets for NUS exams

coffee-futures-price-quality-analysis

Data Validation & Statistical Analysis - Coffee Futures Price & Quality Analysis (Python)

course-notes

SUTD course notes for everyone.

courseramachinelearning

Coursera Machine Learning By Prof. Andrew Ng

cs3244-tutorial-material

All supplementary material used by me while TA-ing CS3244: Machine Learning

cs5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021

cs5260-ay2122-2

Neural Networks and Deep Learning II

customer-segmentation

Data Science Modelling - Customer Segmentation (Python)

d-ml-ai

This repository stores all jupyter notebooks and other relevant resources related to the Specialist Diploma in Software Development and Machine Learning offered by DigiPen Singapore.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-specialization

deeplearning.ai on Coursera