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-python-for-data-science-and-machine-learning-evolution-a-30-day-transformation-

To learn Python for data science in 30 days

ai_all_resources

A curated list of Best Artificial Intelligence Resources

algorithms

Minimal examples of data structures and algorithms in Python

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated-transformer

An annotated implementation of the Transformer paper.

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

chethanhn29.github.io

coding-interview-university

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

cs-video-courses

List of Computer Science courses with video lectures.

data-science-and-machine-learning-interview-questions

data-science-interview-questions-and-answers

Collection of Interview questions and Answers for Data Science,NLP,Machine learning,Deep learning,Computer vision

data-science-ml-and-dl-resources

Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

deeplearning-from-freecodecamp

diabetes-prediction-using-machine-learning

Data Science Capstone Project To Build a model to accurately predict whether the patients in the dataset have diabetes or not? Using Python and Tableau 10

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

feature-engineering-for-machine-learning

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

fine-tune-bert-for-text-classification-with-tensorflow

free_cybersecurity_professional_development_resources

An awesome list of FREE resources for training, conferences, speaking, labs, reading, etc that are free. Originally built during COVID-19 for cybersecurity professionals with downtime can take advantage of to improve their skills and marketability to come out on the other side ready to rock. Now its taken on a life of its own and will persist, COVI

getting-started-with-generative-ai

A curated list of articles and tutorials to start with and understand generative AI

grokking-the-coding-interview-patterns-for-coding-questions

Grokking the Coding Interview: Patterns for Coding Questions Alternative

image_classification

interview-question-data-science-

large-language-model-notebooks-course

Practical course about Large Language Models.

large_language_models-pojects

LLM(Large Language Models) Projects and Resources

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm-finetuning

LLM Finetuning with peft

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

machine-learning-interview

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

mercedes-benz-greener-manufacturing

The Main objective is to reduce the time that cars spend on the test bench. Others will work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing.