Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

A comprehensive collection of course materials for learning full-stack data science and machine learning, covering Python, SQL, web development, and ML algorithms. Includes tutorials, datasets, and projects to build end-to-end data-driven applications from scratch.

Data science project. Logistic regression from scratch. Machine learning to mimic Harry Potter's Sorting Hat and to predict Hogwart's students house with 99% accuracy.

🧙‍♂️ A data science project inspired by Hogwarts — build a logistic regression model from scratch to recreate the Sorting Hat and classify students into their houses using pure machine learning magic.

# Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

Data_Science, Including Machine Learning and Deep_Learning From Scratch

Explore a collection of Python-based data science projects covering data analysis, machine learning, deep learning, and NLP. Each project includes practical examples and code to help you learn and apply data science techniques. Learn Python from scratch .

📚 AI Learning Series - From Python to Deep Learning Documenting my hands-on journey into Data Science, Machine Learning, and AI. Explore Python, NumPy, Pandas, visualizations, ML algorithms, NLP, recommender systems, and Deep Learning, all from scratch. Follow along, learn, experiment, and grow with me! 🌱

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Data Science and Machine Learning from scratch

Repository to learn Machine Learning and Data Science from scratch.

Getting started with data science and machine learning, standing on the "Data science from scratch" book for Joel Grus.

This is a repository which will help in understanding the Data Science and Machine Learning concepts from scratch.

Here I will build out Models and Algorithms from scratch to further my understanding of Machine Learning and Data Science.

My Data Science journey from scratch: Documenting concepts, EDA, and machine learning models as I dive into the world of data. 📊

Basado en los libros: Data Science from Scratch SECOND EDITION First Principles with Python by Joel Gru y Introducing Data Science Big data, machine learning, and more, using Python by Davy Cielen, Arno D. B. Meysman, and Mohamed Ali

Why do we use Python libraries? Image result for python libraries definition Python Libraries are a set of useful functions that eliminate the need for writing codes from scratch. There are over 137,000 python libraries present today. Python libraries play a vital role in developing machine learning, data science, data visualization, image and data manipulation applications, and more.

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Machine Learning and Data Science from scratch

Data science and Machine learning from scratch

Learning machine learning and data Science from scratch

Complete Data Science and Machine Learning From Scratch

Exercises from Data science and machine learning courses from scratch

Exploring data science, and building machine learning model from scratch

Machine learning implementations from scratch, use of frameworks and other data science topics

Python implementation from scratch of machine learning algorithms and other data science concepts

Repo hosting data science and machine learning algos created from scratch in python

Collection of commonly used machine learning algorithms and data science techniques from scratch

Employing data science techniques and machine learning regression models into classification from scratch.

Python library implementing basic data science function and machine learning algorithms from scratch