Wael Muzarzaa's repositories
open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
llms
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
All-of-AI-in-Scratch
🧑🏻💻Implementations of all AI ,Data Science algorithms from Scratch for Starting Out🔰
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
practical-statistics-for-data-scientists
Code repository for O'Reilly book
dataScienceBasics
Intro to Pandas (and numpy arrays) in Python
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
data-science-from-scratch
code for Data Science From Scratch book
The-Python-Mega-Course-Build-10-Real-World-Applications-
The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python
developer-roadmap
Roadmap to becoming a web developer in 2021
Matplotlib-3.0-Cookbook
Matplotlib 3.0 Cookbook, published by Packt
graph-notebook
Library extending jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
sparql_to_pandas
Example for accessing SPARQL endpoints in Python with Pandas
protein-interaction-network
Computes a molecular graph for protein structures.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
awesome-network-analysis
A curated list of awesome network analysis resources.
numpy-100
100 numpy exercises (with solutions)
Play-with-Linear-Algebra
Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码，使用Python语言。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。