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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Data science interview questions and answers
📡 All You Need to Know About Deep Learning - A kick-starter
Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes
This is a repository where I will save the slides and resources of each of the workshops I conducted.
📝 An awesome Data Science repository to learn and apply for real world problems.
Dive into the world of Large Language Models (LLMs) with this comprehensive repository. From understanding basics to exploring various LLMs, finetuning on downstream tasks, and deploying models usi…
Multimodal Sentiment Analysis using Text and Image Data on twitter dataset
In this repo you will find a roadmap to master Large Language Models
A curated list of data science & AI guided projects to start building your portfolio
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
OCR using a simple network developed from scratch on NIST36 dataset vs with CNN on PyTorch on EMNIST dataset
Anomaly detection related books, papers, videos, and toolboxes
Example DAGs using hooks and operators from Airflow Plugins
Analysis on proposed scoring system change to past badminton matches
Valid and adaptive prediction intervals for probabilistic time series forecasting
Statsmodels: statistical modeling and econometrics in Python
A fully functional blockchain application implemented in Python from scratch (with tutorial).
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of causal inference libraries, resources, and applications.
Papers from the computer science community to read and discuss.
Sentiment Analysis with Deep Learning using BERT project is designed to recognize sentiments in text through Natural language processing using pre-trained BERT transformer.
VIP cheatsheets for Stanford's CS 230 Deep Learning
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
