10 Weeks, 20 Lessons, Data Science for All!

12 Weeks, 24 Lessons, IoT for All!

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Feature selector is a tool for dimensionality reduction of machine learning datasets

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

Work related to predicting building energy consumption

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and I…

The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation

A machine learning-powered web application to predict the quality of wine based on some features

Gofood Exploratory Data Analysis and WordCloud (category,product,etc)

Content for Udacity's Machine Learning curriculum

A collection of various deep learning architectures, models, and tips

The creation of the credit risk prediction models of a lending company.

Plain python implementations of basic machine learning algorithms