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data-science-tools-petroleum-exploration-and-production

Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

data_science_masters_program_2021

datapane

Datapane is the easiest way to create data science reports from Python.

dataviz-in-python

A repository used to provide an introduction to dataviz in Python

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-learning-with-python

Deep learning codes and projects using Python

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

deeplearning-models

A collection of various deep learning architectures, models, and tips

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

dockers

ds-2.3-data-science-in-production

DS 2.3: Data Science in Production

ecommerce_customer_churn

An E Commerce company or DTH (you can choose either of these two domains) provider is facing a lot of competition in the current market and it has become a challenge to retain the existing customers in the current situation. Hence, the company wants to develop a model through which they can do churn prediction of the accounts and provide segmented offers to the potential churners. In this company, account churn is a major thing because 1 account can have multiple customers. hence by losing one account the company might be losing more than one customer.

fastbook

The fastai book, published as Jupyter Notebooks

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

flameshot

Powerful yet simple to use screenshot software :desktop_computer: :camera_flash:

fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

great-indian-hackathon-by-machine-hack-rank-3rd

This repository is saved to display my approach for Great Indian Hiring Hackathon organized by Machine-Hack. In which I have Ranked 3rd out of 5000+ entries all over India.

hackingtool

ALL IN ONE Hacking Tool For Hackers

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

indentifying_entities_healthcare_data

Identifying_Entities_Healthcare_Data

kaggle-public

Code from Machine Learning competitions on Kaggle

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lkpy

Python recommendation toolkit

llm-finetuning

LLM Finetuning with peft

lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

lux-binder

Lux Binder Examples