01-03

01 - Introduction to the Course: 00:00:00 __ 001 What is Machine Learning 00:04:39 __ 002 What is Data Science 02 - Predict Movie Box Office Revenue with Linear Regression: 00:08:48 __ 001 Introduction to Linear Regression & Specifying the Problem 00:14:56 __ 002 Gather & Clean the Data 00:24:46 __ 003 Explore & Visualise the Data with Python 00:47:15 __ 004 The Intuition behind the Linear Regression Model 00:54:38 __ 005 Analyse and Evaluate the Results 03 - Python Programming for Data Science and Machine Learning: 01:10:27 __ 001 Windows Users - Install Anaconda 01:17:12 __ 002 Mac Users - Install Anaconda 01:23:25 __ 003 Does LSD Make You Better at Maths 01:28:56 __ 005 Python - Variables and Types 01:43:16 __ 006 Python - Lists and Arrays 01:53:41 __ 007 Python & Pandas - Dataframes and Series 02:18:13 __ 008 Python - Module Imports 02:47:48 __ 009 Python - Functions - Part 1 Defining and Calling Functions 02:55:34 __ 010 Python - Functions - Part 2 Arguments & Parameters 03:12:53 __ 011 Python - Functions - Part 3 Results & Return Values 03:26:31 __ 012 Python - Objects - Understanding Attributes and Methods 03:50:49 __ 013 How to Make Sense of Python Documentation for Data Visualisation 04:13:59 __ 014 Working with Python Objects to Analyse Data 04:36:50 __ 015 Python - Tips Code Style and Naming Conventions