Machine Learning 101 - Introduction to Machine Learning

Language: English

Instructors: TransOrg Analytics

 

ML-101 is designed as an intuitive introduction to Machine Learning. The aim of this course is twofold, to build a strong foundation of core machine learning concepts and to allow learners to get hands-on experience of Exploratory Data Analysis and Feature Engineering, two techniques which are undoubtedly important precursors before one even begins to think about training a model. This uniquely designed course will equip the learners with the necessary knowledge before they begin their Data Science journey.

Course Curriculum

Basics of Machine Learning
What is Data Analysis (16:00)
Skills for Data Analysis (4:00)
Introduction to Excel (9:00)
Introduction to DBMS (8:00)
Introduction to SQL (3:00)
SQL Aggregate Functions (25:00)
Introduction to Python (11:00)
Python for data Science (6:00)
Variables and Data Types (11:00)
Loops (15:00)
Lists (5:00)
Bmi Calculator (2:00)
Pizza Bill Calculator (10:00)
Introduction to Statistics (7:00)
Median (11:00)
Mode (8:00)
Mean (10:00)
Introduction to Machine Learning - Part 1 (9:00)
Introduction to Machine Learning - Part 2 (8:00)
Live Class
LiveClass-1-Video (51:00)
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