Mahmoud Radwan's Projects
Agrisource Data Embedded Systems Vacancy Evaluation Technical Test .
A curated list of awesome Machine Learning frameworks, libraries and software.
This is the code for "Chatbot Tutorial" by Siraj Raval on Youtube
This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube
application to support the software developers in writing their code projects. This will help saving time in writing out of scope functions and code snippets for their projects and enables users to obtain their snippets in accordance with their needs. This system is also beneficial to developers who would like to share their snippets with others and receive comments on their work. Users are enabled to ask questions on a certain programming issue and receive a reply with a code snippet relative to the question. The website lets a user easily run the code snippet to ensure that it is the one he needs.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
List of Computer Science courses with video lectures.
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep Dream Challenge code by @SIrajology on Youtube (Learn Python for Data Science #5)
Gender_classification_challenge
hadoop-tutorials
This is the code for "How to Make a Language Translator - Intro to Deep Learning #11' by Siraj Raval on YouTube
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
A searchable compilation of Kaggle past solutions
This is the code for "Logistic Regression - The Math of Intelligence (Week 2)" By SIraj Raval on Youtube
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
This is the code for "Probability Theory - The Math of Intelligence #6" By Siraj Raval on Youtube
This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This is a submission for the Recommender challenge by @Sirajology on Youtube. [winner]
This repo contains simple machine learning examples using scikit-learn and Python.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Following repo is the solution to Stock Market Prediction using Neural Networks and Sentiment Analysis
TensorFlow Image Classifier Demo by @Sirajology on Youtube