Ahmed Farege's repositories
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
AppliedTextAnalysis_py
Fork of code form "Applied Text Analysis with Python" book by Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda.
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
build-your-own-x
🤓 Build your own (insert technology here)
CNN-experiments
Exploring Hyper-parameter Tuning & Model Architecture to better understand intuition of
cs-video-courses
List of Computer Science courses with video lectures.
data-science
:bar_chart: Path to a free self-taught education in Data Science!
data-science-from-scratch
code for Data Science From Scratch book
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.
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
handson-ml2
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.
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
jupyter
Jupyter metapackage for installation, docs and chat
learn-to-cloud
fork from learntocloud: "The fundamentals of cloud computing".
LearningAlgorithms
Code repository associated with Learning Algorithms: A Programmer's Guide to Writing Better Code. https://oreil.ly/learn-algorithms
ml-design-docs
📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ml-study-plan
The Ultimate FREE Machine Learning Study Plan
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
navi-router
A deno app using Expo's new router navigation.
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
pop-kustomize
Kustomize and Skaffold example repo using a simple Python Flask app
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python
All Algorithms implemented in Python
SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.