Neural Networks and Deep Learning

Study record

Bu proje K-Means Clustering kullanılarak Uydu Görüntüleri üzerinde cluster sayısının (k) en optimum şekilde belirlenmesinde k değeri önerisi yapma ve çok bandlı uydu görüntülerinin segmantasyonu amacıyla oluşturulmuştur.

The fameous Titanic project on Kaggle.com

机器学习实战学习笔记

Linear Regression for house based on Spark

通过excel数据集，以更通俗易懂的方式梳理机器学习各算法流程。对新入门机器学习的同学更易理解。

Developed an image classification system for five classes with a dataset of 2400 images (1720 training, 430 validation, 250 test). Addressed dataset imbalance using techniques like undersampling and oversampling. Evaluated models including Logistic Regression, Neural Network, AlexNet, ResNet-34, Inception Net, and Custom CNN Model.

Here the basic of the the Linear regression problem .

Tuning hyper-parameters based on Optuna is as easy as using scikit-learn.

Mechine Learning

to learn ml in python

Numpy & Matplotlib

Data Science knowledge system（数据科学知识体系）.

Die Klassifikation für Sängerstimmen in der Oper ist immer eine Frage, die oft diskutiert wird. In dieser Arbeit wird der Klassifikator des Bereiches Ensemble-Learning mit dem Ziel untersucht, dass für möglichst jede Stimmlage die Stimmfächer zugeordnet werden können.

model, task

About me

kaggle