Muhammad Fawi's Projects
Using LSTM Autoencoder to Detect Anomalies and Classify Rare Events
Compression suite for data frames and tabular data files, csv, excel etc. Using LZHW algorithm.
comparing many classification algorithms (Naive Bayes, Logistic Regression, Support Vector Machine) on Spiral Data with tuning SVM's parameters with mentioning Decision Trees and K-Nearest Neighbors implementation.
Building a deep artificial neural network (Multi-Layer Perceptron MLP) using Julia and its package Knet to predict the Forest Cover Type ...
Using R to query tables from a PostgreSQL database and then populate a Neo4j Database using its graph query language (cypher) then connecting R to it to query some data.
visualization actor -> fan network using R
solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).
Applying K-Nearest Neighbors algorithm in parallel with Julia to predict whether income exceeds $50k or not ...
Python library that enables using prolog syntax and logic programming in python
Using pytholog library, which enables using logic programming in python, as a database and query data with prolog syntax.
Building a movie collaborative-filtering-based recommendation system with neo4j & python ...
Using python to build a movie recommendation engine inside postgresql database
Reporting Analysis Results into a Word Document with R
Resource allocation using optimization algorithms and python. Assigning the right resources with the right skills to specific projects or activities with certain requirements.
Using Convolutional and Long Short-Term Memory neural networks to classify IMDB Movie Reviews as positive or negative
Summarizing the Top 10 actors, movies, customers, and categories of the DVD Rental data in tables and bar charts and sharing it in a Shiny Web App.
Simple implementation of Simulated Annealing optimization algorithm in C
A set of python modules for data structures. Data structures are written in C and imported into python using cython
simple text clustering using kmeans algorithm
Transfer data compressed by lzhw using a REST-ful API built using Flask
Finding possible paths, shortest ones if possible, in a weighted undirected graph using pytholog library
Building a movie recommender system from scratch in python using MovieLens data set.
Visualizing different types of data with different graphics using R packages and tools, mainly ggplot2
Predict house prices using Weighted KNN Algorithm with KDTree for faster nearest neighbors search in Python.