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100-days-of-ml-code

100 Days of ML Coding

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

amazing-feature-engineering

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.

applied-ml

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

awesome-ai-data-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

awesome-ai-data-guided-projects

A curated list of data science & AI guided projects to start building your portfolio

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-generative-ai-guide

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

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops

A curated list of references for MLOps

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

complete-data-structures-and-algorithms

This repository contains everything you need to become proficient in Data Structures and Algorithms

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cracking-the-data-science-interview

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

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-interview-questions-answers

Curated list of data science interview questions and answers

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.

data-science-interviews

Data science interview questions and answers

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.

data-science-tutorial-by-lambda-school

data-structure-algorithms-lld-hld

A Data Structure Algorithms Low Level Design and High Level Design collection of resources.

data_science_learning_material

Collection for your Data Science Learning

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning