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applied-ml

Curated papers, articles & videos on data science & machine learning applied in production, with results.

course-v3

The 3rd edition of course.fast.ai

data-science--cheat-sheet

Cheat Sheets

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep_learning_assignments

These assignments are submitted as part of Deep Learning course at Praxis Business School, Bangalore

densenet_image_classification_flask

Flask App for Image Classification using Densenet

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

eda_automation_r

This package has function 'eda_graphs' which helps to automate the tedious task of Exploratory Data Analysis of any data. It generates and exports various plots used in EDA phase.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

intro-to-pytorch---udacity

This repo contains notebooks and related code for Udacity's Deep Learning with PyTorch course

logistic-regression

Simple Implementation of Logistic Regression for learning purpose.

market_basket_analysis-online_radio

Online radio keeps track of everything you play. It uses this information for recommending music you are likely to enjoy and supports focused marketing that sends you advertisements for music you are likely to buy. We will do market basket analysis of radio data to find out relationships of different music artists for users. This information can be used to recommend music to users.

medium_notebook

Repository containing notebooks of my posts on Medium

movie-recommender-app

A Movie recommendation app deployed on Heroku using Flask

netflix_recommendation

outlier_analysis

This package can be used to get percentage of missing values, no. of outliers in the data.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-for-deep-learning-and-computer-vision-course-all-codes-

PyTorch for Deep Learning and Computer Vision Course

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

statisticaltest

R package to perform hypothesis tests on data.

udemy-the-complete-machine-learning-course-with-python

Please see the readme file for more info

zomato-exploratory-data-analysis

This is my first EDA project. My intention behind this analysis is to study how the sales are affected by different factors like Location, Cuisine, Ratings, etc and what is specifically dominating in an area concentrating more towards Indian market.