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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

a-to-z-resources-for-students

✅ Curated list of resources for college students

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.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

awesome-remote-job

A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

banking

Horizon is a modern banking platform for everyone.

blogapp

Simple Blog Application

classroom-api

code_snippets

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

cpython

The Python programming language

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

data-science-roadmap

Roadmap to learn Data Science and related areas.

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

django

The Web framework for perfectionists with deadlines.

django-deployment

Django application deployment using Docker, Kubernetes, Github Actions, AWS

django-ecommerce

An ecommerce site using Django

django-vercel-review-app

The Basic Review Application deployed in Vercel

djangogirlsblog

dotfiles

My dotfiles and personal preferences

eventflow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

important_resources

jupyter

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

kaggle-computer-vision-competitions-list

List of Kaggle competitions in the field of Computer Vision

langchain

⚡ Building applications with LLMs through composability ⚡

machine-learning-for-trading

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading