stosan Goto Github PK

go-project-layout

Standard Go Project Layout

grip-spark-foundation

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

identity-samples

Multiple samples showing the best practices in identity on Android.

image-super-resolution

Image Super Resolution is one of the most Intriguing and Interesting Projects in Deep Learning and It is done by an Architecture of Deep Learning called Super Resolution Convolutional Neural Networks or SRCNN. Using Image Super Resolution Technique we can convert the Low Resolution Images into High Resolution, Which can be really helpful for Domain

image-webscraping

insurance-claim-prediction

A machine learning algorithm written to predict severity of insurance claim

insurance-claim-prediction-1

In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.

interpreting-acf-and-pacf-timeseries

learning-management-system

(Python/Django) Learning Management System(LMS) with Manager, Teachers and Students, a mockup similar to Moodle.

machine-learning-based-car-insurance-claim-prediction

It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insurance claim for a future customer allows the company to avoid adding potentially loss making customers. It also helps in determining appropriate monthly charges form the insured person or object. Through this project I try to build a prediction model for a car insurance company to predict the chances of loss making insurance deal based on the details of the car. A major challenge in this project is associated with the number of claims in the training data, only about 0.7% of the data has cars that have claimed insurance. Though this small claim percentage seem insignificant bu the cost requires to cover these insurance could cost the company millions of dollars. To address this challenge, I try to implement sampling techniques to increase the percentage of claim data. Language: R Repository contains: Test and Training data files, R code and a detailed project report conveying challenges in the data and approach to build a final prediction model.

machine-learning-reads

Code from posts on my medium blog

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

machinelearning

mailjet-apiv3-php-simple

[API v3] Simple PHP wrapper for the Mailjet API /!\ [DEPRECATED - SEE README] /!\

microbit-fastest-finger

A MakeCode project

ml

ml-for-beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

ml_insurancepred

Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project

ms-desktop-softwares-development

Software development using C#, Python, Flutter, electron Js and Visual Studio

ncsam-viz

An Exploratory Data Analysis on the National Cybersecurity Awareness Month Campaign data for October 2022

nigfash3000---recommender

omdena-nigeria-local-chapter-2021

Omdena-Nigeria-Local-Chapter-2021

passenger-prediction-using-time-series-analysis

I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.

pinterest_bot

Chrome Extension for scraping pinterest images

portfolio

predict-fraud-using-auto-ai

Use AutoAI to detect fraud

projects

pygame

python-breast-cancer-classification