Deep dive in machine learning
python machine learning in depth
What is machine learning ?
machine learning / ai (artificial intelligence) is one of the hottest topics in this century - for good reasons. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This is my second course to show you why.
Instead of telling you all the statistics and math behind the machine learning algorythms i prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT.
How to learn machine learning ?
By joining this course you can leverage the knowledge you acquired from my first course (Machine Learning for Beginners) and get the chance to dive much deeper into the machine learning world. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.
But if you want to actually practise python machine learning and learn how to improve your own algorithms then this beginner's course is the right way to continue your learning journey
Your Instructor
Hi! We are UpDegree, providing high quality interactive course.
We are the team of 100+ instructor over the globe. Adel (Oxford), Anand (Standford), Akash (IITB), Rajib (IITK), Partha (IITM) are few of them.
Updegree courses are different, In each and every course you not only get the videos lectures but you also get quiz,code,assignment etc to test your practical understanding!
Course Curriculum
-
StartIntroduction and Outline (7:22)
-
StartThe right way to prepare your data (4:33)
-
StartWhich features should i use for optimal performance? (7:29)
-
StartAdditional feature selection options (8:24)
-
StartLet's tune our algorithm for optimal performance (5:56)
-
StartAlgorithm Tuning Part 2 (5:59)
-
StartEvaluation - how is your algorithm performing? (3:28)
-
StartEvaluation - how is your algorithm performing 2 (7:52)
-
StartEvaluation - how is your algorithm performing 3 (1:33)
-
StartMachine Learning Automation 1 (4:45)
-
StartMachine Learning Automation 2 (11:57)
-
StartMachine Learning Automation 3 (4:28)
-
StartMachine Learning Automation 3 (4:05)
-
StartWrap up and last words (4:22)