Pinned Repositories
9HPythonData
A 9-hour Python tutorials focusing on data processing
AdvancedTimeseries
All-of-AI-in-Scratch
🧑🏻💻Implementations of all AI ,Data Science algorithms from Scratch for Starting Out🔰
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
applied_data_science_with_python
This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
appliedml_workshop_dhs_av_2019
Content for Applied ML Workshop @ DataHack Summit 2019
code_snippets
Data-Science-Tutorials
Data Science Tutorials
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
mozarzaa's Repositories
mozarzaa/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
mozarzaa/AdvancedTimeseries
mozarzaa/All-of-AI-in-Scratch
🧑🏻💻Implementations of all AI ,Data Science algorithms from Scratch for Starting Out🔰
mozarzaa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
mozarzaa/awesome-network-analysis
A curated list of awesome network analysis resources.
mozarzaa/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
mozarzaa/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
mozarzaa/DAT01-Programming-Languages-Oriented-to-Data-Analysis
mozarzaa/Data-Analysis-Bootcamp---21-Real-World-Case-Studies
mozarzaa/data-science-from-scratch
code for Data Science From Scratch book
mozarzaa/dataScienceBasics
Intro to Pandas (and numpy arrays) in Python
mozarzaa/developer-roadmap
Roadmap to becoming a web developer in 2021
mozarzaa/Django-2021
mozarzaa/DOPP_analyze_influenza
mozarzaa/DOPP_butterfly_wing_shapes
mozarzaa/graph-notebook
Library extending jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
mozarzaa/Linear-Algebra
mozarzaa/Linear-Algebra-2
mozarzaa/llms
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
mozarzaa/Master-Statistics-Live-Series
mozarzaa/Matplotlib-3.0-Cookbook
Matplotlib 3.0 Cookbook, published by Packt
mozarzaa/numpy-100
100 numpy exercises (with solutions)
mozarzaa/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
mozarzaa/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。
mozarzaa/practical-statistics-for-data-scientists
Code repository for O'Reilly book
mozarzaa/prompts-for-edu
mozarzaa/protein-interaction-network
Computes a molecular graph for protein structures.
mozarzaa/sparql_to_pandas
Example for accessing SPARQL endpoints in Python with Pandas
mozarzaa/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
mozarzaa/tuw-nlp-ie-2021WS