sukanyasaha007 / Coursera-Courses

This repo contains all my MOOC certifications and assignments from the courses I pursued on Coursera

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Coursera-Courses

Introduction

This repo contains all my MOOC certifications and assignments from the courses I pursued on Coursera along with the code base, quiz questions, screenshot, and images.

An Introduction to Interactive Programming in Python (Part 1) offered by Rice University.

Course Work

Week 0 : Statements, expressions, variables

Week 1 : Functions, logic, conditionals

Week 2 : Event-driven programming, local and global variables, buttons and input fields

Week 3 : The canvas, static drawing, timers, interactive drawing

Week 4 : Lists, keyboard input, motion, positional/velocity control

Programming Assignments

"Rock-Paper-Scissors-Lizard-Spock" game

"Guess the Number" game

Stopwatch: The Game

"Pong" game

An Introduction to Interactive Programming in Python (Part 2) offered by Rice University.

Week 5 - Mouse input, list methods, dictionaries

Read mouse input, learn about list methods and dictionaries, draw images

Week 6 - Classes and object-oriented programming

Learn the basics of object-oriented programming in Python using classes, work with tiled images

Week 7 - Basic game physics, sprites

Understand the math of acceleration and friction, work with sprites, add sound to your game

Week 8 - Sets and animation

Learn about sets in Python, compute collisions between sprites, animate sprites

Coursera Machine Learning by Prof. Andrew NG

This course Machine Learning is offered by Standford online

Instructor: Andrew Ng

This is all written in matlab. The datasets are also uploaded with the excercises

Course Work

Linear Regression (one variable and multiple variables)

Logistic Regression

Regularization

Neural networks

Support Vector Machine

Clustering

Dimensionality Reduction

Anomaly Detection

Recommender System

Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI

Instructor: Andrew Ng

Programming Assignments

Course 1: Neural Networks and Deep Learning

Week 2 - PA 1 - Logistic Regression with a Neural Network mindset

Week 3 - PA 2 - Planar data classification with one hidden layer

Week 4 - PA 3 - Building your Deep Neural Network: Step by Step

Week 4 - PA 4 - Deep Neural Network for Image Classification: Application

Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Week 1 - PA 1 - Initialization

Week 1 - PA 2 - Regularization

Week 1 - PA 3 - Gradient Checking

Week 2 - PA 4 - Optimization Methods

Week 3 - PA 5 - TensorFlow Tutorial

Course 3: Structuring Machine Learning Projects

There is no PA for this course. But this course comes with very interesting case study quizzes.

Course 4: Convolutional Neural Networks

Week 1 - PA 1 - Convolutional Model: step by step

Week 1 - PA 2 - Convolutional Model: application

Week 2 - PA 1 - Keras - Tutorial - Happy House

Week 2 - PA 2 - Residual Networks

Course 5: Sequence Models

Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step

Week 1 - PA 2 - Character level language model - Dinosaurus land

Quiz Solutions

Course 1: Neural Networks and Deep Learning

Week 1 Quiz - Introduction to deep learning

Week 2 Quiz - Neural Network Basics

Week 3 Quiz - Shallow Neural Networks

Week 4 Quiz - Key concepts on Deep Neural Networks

Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Week 1 Quiz - Practical aspects of deep learning

Week 2 Quiz - Optimization algorithms

Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks

Course 3: Structuring Machine Learning Projects

Week 1 Quiz - Bird recognition in the city of Peacetopia (case study)

Week 2 Quiz - Autonomous driving (case study)

About

This repo contains all my MOOC certifications and assignments from the courses I pursued on Coursera


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