[#Udemy Free] Introduction to #Data_Science and Machine Learning in Python

What Will I Learn?

Understand what Machine Learning is

Identify applications of Machine Learning

Learn the differences between Supervised ML and Unsupervised ML

Build and apply Linear Regression Models

Apply Logistic Regression Models

Handle and work with Text, HTML and Excel Files

Apply Python for computing with Numpy

Clean and prepare data for analysis

Requirements

• Basic Knowledge of Python Data Structures
• Access to a computer (Windows, Mac or Linux) with an internet connection

Description

This is an introductory course for learning Data Analysis and Machine Learning with Python. If you are wondering about what Data Analysis, Data Science and/or Machine Learning is, this course will give give you an introductory idea and concepts behind Data Analysis and Machine Learning. 

The course is intended as an introduction to Machine Learning and Data Analysis. This course is hands on and  will teach you the some of the techniques required to analyze and visualize various data sets 

The course has over 70  lectures and more than 12 hours of HD video, and  explains some of the fundamental techniques in Data Science. 

The entire course is hand on, and I hope you enjoy the course.

Who is the target audience?

• Anyone interested in learning data analysis with Python
• Anyone interested in learning data visualization with Python
• Anyone interested in learning Machine Learning Introduction with Python
• Anyone interested in the field of Data Science