These are all of my machine learning codes.You can find every code about machine learning.

Image classification with DeiT model, including data preprocessing, k-fold CV, early stopping and model saving.

This is an algorithm for evenly partitioning.

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

Experimenting ML Algorithms, feature selection, cross validation and feature transformation on self-annotated custom Eskişehir real estate dataset. - 2021 - Yildiz Technical University

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA

Data sampling library

Data sampling library

Artificial intelligence model that detects intrusions in a network by analyzing TCP / IP packets by machine learning algorithms

Used Python Scikit-Learn to analyze Austin car crash data from 2018 to 2020 and created an interactive dashboard using a Random Forest Classifier algorithm to calculate a driver score from user features.

Collaborative filtering, word Embedding dense vector representation - NeuralNetwork regression model and K-Fold Evaluation.

GroupSplit is a module to help split datasets into train and test sets for data science and machine learning projects.

My very first hands on experiment with CV

ML model for stock trend prediction using Python

Insights into how the error varies with change in K while performing k-fold Cross Validation

Linear Regression Feature Selection and Trainer

This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques

Machine Learning Task implemented in PySpark to parallelise K-Fold Cross Validation

Codes and templates for ML algorithms created, modified and optimized in Python and R.