There are 1 repository under maschine-learning topic.
Sequential model-based optimization with a `scipy.optimize` interface
Next.js on 🤗 Spaces
Hands Control System (HCS) - an application/system that uses AI/computer vision to control a computer mouse by means of movement and hand gestures.
Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
AI based Massive Multiplayer Online Simulation
Portfolio selection is a method for constructing a portfolio of securities.
Meine vorwissenschaftliche Arbeit über "Maschinelle Werteanpassung bei einer hypothetischen Allgemeinen Künstlichen Intelligenz".
This project focuses on predicting air quality, specifically PM 2.5 values, in the Africa/Nairobi region using time series analysis techniques. The goal is to develop accurate models that can forecast PM 2.5 levels and provide valuable insights for environmental monitoring and public health.
Repo containing analysis on white wine dataset using R.
Completing Project by WorldQuant University in Datascience to gain experience in python programming
Python functions to facilitate the pre-processing of data for ML tasks in a clinical context
Data Science and Machine Learning in Asset Management
This small project applies reinforcement learning to the game of Tic-Tac-Toe using a neural network.
Car price forecasting
Abgabe für den vDgD2021-Hackathon über Named-entity recognition in frühneuhochdeutschen Texten.
Prediction road sign by computer vision
Projekt - pierwszy model uczenia maszynowego
Artificial Intelligence Appliance based on SDaIP - Scientifical Document and Information Processing
Different Machine Learning models on the German Rental Dataset
Projekt transformacja, czyli poznaj reguly gry
Projekt transformacja, czyli Matrix - poznaj szczegóły gry.
Project for the University of Bologna Introductory Machine Learning course (a.y. 2022-23).
The following Notebook provides the access to the code of creation unique A.I. Arts. These Arts are facilitating and follow the desired keywords/sentences that must be written in the section 4.
The simple chatbot trained with different content from pre-downloaded files by implementing ML.
The following tools enables to quickly predict the price of the particular asset via Machine Learning Techniques LSTM implementation
In marketing, the only right people must be targeted so as to cut the costs at SEO, PPC etc. So it is important to be able to cluster different groups of people. Therefore the following study is produced to show how it can be accomplished by implementing K-Means Clustering
Finding the most dominant colors in an image using the KMeans clustering algorithm. It can help to identify the right design and marketing colours.
Examples of some popular algorthms for solving problems in maschine learning