Python for Everybody Specialization - University of Michigan

Completed 5 courses on Python for this specialization.

Machine Learning - Stanford University

Got an introduction to machine learning, data mining, and statistical pattern recognition.

Building Web Applications in PHP

Learnt the basic structure of a web application, and how a web browser interacts with a web server.

Regression Analysis with Yellowbrick

Built a machine learning model to predict the compressive strength of high performance concrete(HPC).

Capstone: Retrieving, Processing, and Visualizing Data with Python (with Honors)

Built a series of applications to retrieve, process and visualize data using Python.

Applied Plotting, Charting & Data Representation in Python

Learnt visualization basics, with a focus on reporting and charting using the matplotlib library.

Basic Sentiment Analysis with TensorFlow

Learnt the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem

Introduction to Data Science in Python

Learnt the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv les, and the numpy library.