JShollaj
Follow
Stars
🦜🔗 Build context-aware reasoning applications
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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.
This repository contains implementations and illustrative code to accompany DeepMind publications
QLoRA: Efficient Finetuning of Quantized LLMs
Python code for "Probabilistic Machine learning" book by Kevin Murphy
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Collection of useful data science topics along with articles, videos, and code
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
PyMC educational resources
Collection of notebook guides created by the Brev.dev team!
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
A collection of notebook to learn the Applied Predictive Modeling using Python.
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
Tutorials on Machine Learning and Deep Learning with Python
Code supporting the paper Adversarial Attacks on Contextual Bandits accepted at Neurips 2020.
Artificial Intelligence with Python-Third Edition, Published by Packt
#HR Analytics #People Analytics #Churn Prediction #Employment issue #Supervised Learning #IBM Datasets #Kaggle
AY 2021/2022 of NUS / Team project repository done during MSBA program.