recommendation-system-with-a-restricted-boltzmann-machine-

I study and go over the usage of a Restricted Boltzmann Machine (RBM) in a Collaborative Filtering based recommendation system.

recommendation-systems

In this Repository, I will be working with the MovieTweetings data to create three type of recommendations (Knowledge Based Recommendations, Collaborative Filtering Recommendations and Content Based Recommendations) to recommend movies to users.

restricted-boltzmann-machines

Restricted Boltzmann Machine RBMs are flat neural networks that learn to reconstruct data independently by themselves in an unsupervised fashion.

sagc-a68

A Space Access Graph dataset for the Classification of spaces and space elements in Apartment buildings

search-algorithms-a-star-and-dynamic-prgramming

In the repository we will learn some of the foundational search algorithms(A* and dynamic Prgramming) used in discrete path planning.

sentiment-analysis

Sentiment Analysis with logistic Regression and Fully Connected layer and LSTM (Tensorflow)

sfs-a68

A dataset for the segmentation of space functions in apartment buildings

software-engineering-practices-in-data-science.

This Repo is about the practices of software engineering and how they apply in data science.

spam-classifier-with-naive-bayes

In this this repository I will be using the Naive Bayes algorithm to create a model that can classify SMS messages as spam or not spam.

speech-recognition

Understanding of main components of speech recognition- Reading from a File and Working on and Visualizing Audio Signals-Applying sampling at a certain frequency and converting the signal into the discrete numerical form -Extracting Feature from Speech-Speech Recognition Packages

statistical-considerations-in-testing

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

the-usage-of-ai-defects-for-building-footprint-segmentation

To investigate the effect of pre-processing algorithms in the field of Building Footprint Segmentation, we are going to design a pre-processing algorithm that manipulates the training data to feed them into a Mask R-CNN network that can perform instance segmentation or fake semantic segmentation based on the execution or non-execution of the pre-processing algorithm

topic-modeling

In this repository, I'll use the gensim library to build LDA (Latent Dirichlet Allocation) to classify text in a document to a particular topic.

traditional-object-detection

Image classification is tricky and it becomes even trickier when you don't know exactly where in an image my objects of interest will appear or what size they'll be or even how many of them you might find.

traffic_sign_classifier

It is about deep neural networks and convolutional neural networks to classify traffic signs

trajectory-generation

In this lesson, I'm going to teach you about continuous trajectory planning and more specifically, how to generate drivable trajectories.

word_analogy-using-embeddings

To measure how similar two vectors (words) are

writing-ros-nodes

In this Repository, I will be writing ROS nodes in Python that publish and subscribe to topics and write a Ross service that can be called from other nodes or from the command line.