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alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

aptos-2019-blindness-detection

aptos2019blindnessdetection

:3rd_place_medal: (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

avionics-machine-learning

Predict hard disc failure in Avionics system

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-pandas

A collection of resources for pandas (Python) and related subjects.

azure-kusto-analytics-lib

Azure Data Explorer advanced analytics library (functions, queries, etc.)

blindness-detection-diabetic-retinopathy-

This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients

bloodspectroscopy

Build ML models to detect various diseases in humans through blood spectroscopy data

books

Owsome books to understand different concepts

c-folder-udemy

c-learning-folder

cnnstockpattern

Using fastai and CNNs to predict stock prices

colours-and-impact

A curated list of awesome data visualization resources with a splash of R

cs229

Solutions to the problem sets of CS229: Machine Learning from 2018

cs229-ps-2018

My solutions to the problem sets of Stanford cs229, 2018

data-engineering-howto

A list of useful resources to learn Data Engineering from scratch

data-science-books

Complete end to end Datascience Books for various Application

data-science-pro

Regularly Updated | Collection of the best Data Science Material from the Web| Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet as well

deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-neural-network-hardware-accelerator

SystemVerilog HDL and TB code Deep Neural Network Hardware Accelerator implementation on zybo 7010 FPGA and also C code for Vivado SDK Software

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

detecting-diabetic-retinopathy

Deep learning applied on kaggle's DR dataset