This is GEM repo, as it has all the Hands-On ML notebooks

This notebook presents an exploratory data analysis (EDA) and regression modeling approach for the WiDS Datathon 2024 Challenge #2.

This is my portfolio for data science, supervised and unsupervised machine learning.

An advanced deep learning tool for Alzheimer's disease diagnosis using a CNN with transfer learning from DenseNet-121 pre-trained on RadImageNet, achieving a test accuracy of 95.13%. It features a user-friendly interface for uploading MRI scans and provides immediate classification into AD, MCI, or CN stages.

Skripsi yang berjudul: Pemodelan Kerugian pada Asuransi Kendaraan Bermotor Menggunakan Generalized Linear Models dan Generalized Additive Models.

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

Utility function to plot roc curves using k-fold cross-validation

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

Vault of variety of topics taught for Rayan Contest

RAYAN AI international competition training course : Homeworks and Projects

Linear Regression Project to predict the total goals to be scored in a match

Data sampling library

Applied Machine Learning ( End to End ) Classification Models

Neste repositório encontra-se as atividades práticas realizadas para disciplina de ferramentas de inteligencia artificial

Predict math score using these features gender, race/ethnicity, parental level of education, lunch, test preparation course, reading score, writing score.

This regression model involves predicting the average life expectancy of a country's population using the dataset given.

Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖

Collection of RNN GAN SNN CNN in Tensorflow

📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

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