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10-steps-to-become-a-data-scientist

📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

adaptive-filtering-based-changedetection

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

amdrenergymodel

amdriot

A prediction-based data reduction method that exploits LMS adaptive filters in the Internet of Things

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

blurringfacesinimages

This is a simple code for blurring all imgs in a given a directory

clrs

:notebook:Solutions to Introduction to Algorithms

coursera-dl

Script for downloading Coursera.org videos and naming them.

coursera-machine-learning-andrewng

Coursera's Machine Learning Course by Andrew Ng

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

essir2019

Slides to the 12th European Summer School in Information Retrieval (ESSIR 2019)

folium

Python Data. Leaflet.js Maps.

handleimbalanceddatasets

A placeholder repo for handling imbalanced dataset studies

infovae

insurance_qa_python

Python-formatted InsuranceQA data

irgan

IRGAN SIGIR paper experimental code

kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

krlpapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

least-mean-square-lms

machine-learning-tutorials

Basic Machine Leanring (ML) tutorials

montecarloworkshop

Course material for a tutorial on Monte Carlo for uncertainty evaluation with Python

movingaveragefilters

python

All Algorithms implemented in Python

smart-citizen-api

This project is to get the data from Smart-citizen sensors and enable querying the data.

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

yasminfathy.github.io