Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Python code for common Machine Learning Algorithms

Curso de Introducción a Machine Learning con Python

The "Python Machine Learning (1st edition)" book code repository and info resource

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Pytorch implementation of cnn network

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

一个股票数据（沪深）爬虫和选股策略测试框架

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Stock Price Prediction using Machine Learning Techniques

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

We model a classifier to classify songs into different genres such as jazz, classical, country, pop, rock, and metal.

Music Genre Classification - Machine Learning Group Project

Machine learning approach to classify music based on genres

Speech Emotion Recognition using FFT and SVM

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Implemented multiple classification models using Python with GTZAN data set by leading a team of three people. Compared the performances of K-NN, SVM, CNN models and logged their results in terms o…

Building music genre classification using machine learning algorithum and librosa

Building music genre classification using machine learning algorithms and librosa

GTZAN Music genre classification using Logistic regression and SVM.

Music Genre Classification of GTZAN dataset, by applying three different feature extraction techniques: MFCC, RMS Energy, and Chroma Vector and comparing the application of learning algorithms: SVM…

Basics of Musical Instruments Classification using Machine Learning

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification