Aayush Shah

Neural-Net-Zero-to-Hero-with-Andrej. This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.

TimeSeries-Forecasting. This repository contains my notes and how-to on time series forecasting with appealing and engaging notes and explanations. My first tackle on time-series.

Pandas_Book. This repository includes my notes in the form of jupyter notes in which I have explained everything that I understood from the book Python for Data Analysis by Wes McKinney.

Selenium-Basics. This repository will cover the understanding and the code for the selenium with python. This will cover the basics — you know the first baby step!

Pythonic-DSA. A great resource for me and you (who is reading this precious text) for the Data Structures and Algorithms in Python! Not just to view, but to LEARN!

SMOTE. This small repository contains the SMOTE implementation from scratch.

CourseraAnalysis_with_Flask. This repository contains my EDA on the coursera certification data scrapped from the web.

Google-Data-Analytics-Certificate. This includes my Files and Case Studies done in the Google Data Analytics certificate.

DataScience_Udemy. This repository contains personal notes from the course that I took from Udemy.

AayushSameerShah. Config files for my GitHub profile.

Short-Courses-DeepLearning. Here I will put all of my mental notes in structured format while learning the course related to DeepLearning or just LLMs in general!

Deep-Learning-Specialization. Notes and sketches on the DeepLearning specialiazation by Andrew Ng

TkinterML. This repository contains my first attempt to bind tkinter with a simple ML Linear Regression algorithm.

Manual-ML. This repository is full of handmade Machine Learning algorithms that I have coded out after understanding the intuition from the book from Jason Brownlee.

EDAs. This repository contains my EDAs and trials and approaches to explore the data and find gems from it. Let's find how many did I find.

neona. A Neon visualization library based on matplotlib, I love to call it 'Neona'