All codes, both created and optimized for best results from the SuperDataScience Course

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…

Harvard Project - Accuracy improvement by adding seasonality premium pricing

A JavaScript module for generating random seeded distributions and its statistical analysis.

Deteksi penyakit pada (daun) jagung berbasis citra dengan menggunakan metode GLRLM dan FCH.

A minimal Deep learning library for the web.

Spark ML Dashboard built to plug-in and tweak the model params to real-time verify classification results on sample test data

Classic Machine Learning in R

Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

This is the code for "Binary Classification using Keras Sequential, Functional and Model Subclassing" By M.Junaid Fiaz

Capstone Project for Udacity Machine Learning Nanodegree

Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.

Google colab notebook for the Kaggle Home prices submission

Python and sklearn, KNN, logistic and linear regression, cross-validation

Face Mask Detection