Mayur Mahurkar's repositories
Image_Preprocessing_Using_Python
Around 20+ Jupyter Notebooks demonstrating various Image Pre-processing operations and methods.
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Handy_Scripts
This repo consists of scripts that come in handy for repetitive works such as bulk unzipping, copying files, sorting images according to their size etc. I try to automate such tasks and I am looking forward to adding many more such scripts.
Machine-Learning-with-Python
Study Material for Machine Learning with Python
awesome-soccer-analytics
:soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.
Data-science
Collection of useful data science topics along with code and articles
Data-Science--Cheat-Sheet
Cheat Sheets
Deep-learning-with-Python
Deep learning codes and projects using Python
face_recognition
The world's simplest facial recognition api for Python and the command line
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
pandas-in-action
Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
pandas_exercises
Practice your pandas skills!
Power-BI
Here, I will provide different Power BI Sample files and data source files to user.
Python-OOPs
Basics of Python's OOPs concept and Classes, Sub-classes.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Stanford-Cars-Body-Data
The data consist of images of cars categorised according to their body type. I've created this data from the "train" subset of the actual data provided in Standford's Cars Dataset (http://ai.stanford.edu/~jkrause/cars/car_dataset.html). For this, I've used "class" info as given for each car image but only for "train" data. The "class" in actual data is car name, from which I've extracted body types such as hatchback, sedan, SUV etc. and made them as classes in this dataset. For convenience, I've renamed the actual file_name with the "class" as mentioned in the actual dataset. The "standford_cars_type.csv" can provide you additional detail about the name and manufacturer along with the original name of the image as in the "train" subset of Stanford's Cars Dataset as mentioned above. This data can be used for building: - Car Body Type Classifier - Car Brand Classifier (You have to recreate the data for "Car Brand Classifier" accordingly. NOTE: The "Other" subfolder in the dataset consists of images of "SuperCab" which can be either used as an additional class or can be merged in the existing "Cab" class.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
start-machine-learning-in-2020
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
The-Machine-Learning-Workshop
An interactive approach to understanding Machine Learning using scikit-learn
The-Supervised-Learning-Workshop
An Interactive Approach to Understanding Supervised Learning Algorithms
The-Unsupervised-Learning-Workshop
An Interactive Approach to Understanding Unsupervised Learning Algorithms