Plain python implementations of basic machine learning algorithms
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May 21, 2024 - Jupyter Notebook
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Plain python implementations of basic machine learning algorithms
Python course asssignment (2nd year, 2023)
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
Python package for early warning signals (EWS) of bifurcations in time series data.
Jupyter notebooks in the terminal
Revive Model
This repository keeps my solution for Task 1 in the Introduction to Machine Learning course in Innopolis University. The key technics here are data preprocessing and training ANN on highly imbalanced dataset.
learning dl from karpathy sensei
ipynb renderer for ReactJS
Partial implementation https://arxiv.org/abs/1802.05495
This is where I stash my Python study material.
This repository contains the programs that I worked out in Machine Learning Laboratory.
A neural network which controls a game character.
Several programming exercises (EPs) developed for a College class (MAC 0417 - Image Processing and Visualization)
Example of an application of Naïve Bayes Algorithm.
A sophisticated Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
Course work code for my university's (SPbPU) course "Computer Architecture".
Python 基礎課程講義,適合 15-30 學時的內容,支援到 3.8 版。
Notes and Projects for Data Analysis with Python course from FreeCodeCamp.org
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 5 days ago