Aaryan Shah's starred repositories
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
datascience
Curated list of Python resources for data science.
full-speed-python
Full Speed Python: a book for self-learners
Data-science
Collection of useful data science topics along with articles, videos, and code
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
data-science-complete-tutorial
For extensive instructor led learning
Data-Science-Projects
Collection of data science projects in Python
Machine-Learning-with-Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
DataScienceProjects
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
awesome-pandas
A collection of resources for pandas (Python) and related subjects.
Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
Andrew-Ng-Machine-Learning-Notes
The offical notes of Andrew Ng Machine Learning in Stanford University
feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
Disease-Prediction-using-Django-and-machine-learning
**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can select various symptoms and can find the diseases and consult to the doctor online.
MachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.
image-shuffler
:package: Split an image into n-pieces and shuffle them.
Machine_Learning_Practice
Hands-on practice of machine learning algorithms.
Courses-Recommendation-system
This is a course recommendation system that generates recommendation based on the study patterns and cognitive level of the students. The features are extracted using huge and raw log files. The web interface is built using the flask framework.
Data-Science-interview-prep
All the topics for data science interview
Flask-Tutorial-step-by-step-
This book is for total beginners who are interested to learn the python flask framework,this book does not contain any advanced concepts of the flask framework and 1the advanced python programming concepts.This Book is totally focused on the beginners who are little bit familiar with the python programming and are interested to learn the python framework to develop the web applications .