cikristian

alx-interview

interview repository

alx-backend-user-data

This repoository consist of user data mangemnet

upload-form

#This is the upload form

elearning_platform

This repo is for an elearning platfrom

event-admin

scikit-learn

scikit-learn: machine learning in Python

MedSync

This is a centralized database that stores patients data

Siamese-Neural-Network-MNIST-Triplet-Loss

An example notebook showing the use of a Siamese Neural Network with a triplet loss function trained on MNIST

differential-privacy-federated-learning

Curated notebooks on how to train neural networks using differential privacy and federated learning.

models-from-scratch-python

Repo where I recreate some popular machine learning models from scratch in Python

Multiple-Linear-Regression

Multiple Linear Regression Startup dataset

House-Price-Prediction

Built Multiple Linear Regression Model on the housing price dataset and acheived an accuracy of 82.23%

Predict-Sales-Revenue-Using-Multiple-Regression-Model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.