EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

Provide exploratory data analysis of the water level dataset from the Three Gorges dam in China as well as develop a machine learning model to forecast upstream water levels.

high-level stock quantitative toolkit based on open stock data platforms (e.g. tushare). It uses mysql to store market data and supports quantitative strategies.

Project involved the analysis of a covid-19 dataset, applying bayes theorem to estimate probabilities and using KNN ML algorithm to train a model and make predictions based on the data

A scikit-learn-compatible module for estimating prediction intervals.

Standardized Serverless ML Inference Platform on Kubernetes

S7-S8 Main Project: Concatenation of Attention Enhanced Spatial and Temporal Features for Violence Detection from Videos

Classification of traffic accident severity in Quebec

Multi label classification with sklearn

Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!

A unified framework for tabular probabilistic regression and probability distributions in python

Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.

NLP course materials at ITMO

推荐算法实战(Recommend algorithm)

Enhancing Patient Care through AI-Driven Disease Prediction

Machine Learning Projects in Python