Curiosity for Data Science
In this course, you will learn the basics of Machine Learning and Data Mining; almost everything you need to get started. You will understand what Big Data is and what Data Science and Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K–Nearest Neighbor, Decision Trees, and Neural Networks. You’ll also understand how to combine algorithms into ensembles. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data. By the end of this course, you will understand the ABCs of Machine Learning and be able to implement what you’ve learnt on your own, more specifically, be able to implement what you’ve learnt on Python. There is no ideal student as there are no prior requirements needed – everybody is welcome!!
Please feel free to ask me any question! Don’t like the course? Ask for a 30–day refund!!
Real Testaments >
1) Excellent course!! Dana is very knowledgeable about Machine Learning, and is able to present the concepts and practices in a way that is easy to understand, along with actionable exercises to implement and practice. The presentation is very detailed and direct. A topic is introduced, explained, displayed with example and then we began implementing it. Joseph, 5 star rating
Instructor Details
Courses : 2
Specification: A Beginner’s Guide to Machine Learning (in Python)
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17 reviews for A Beginner’s Guide to Machine Learning (in Python)
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 3.5 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Joseph Cox –
Excellent course!! Dana is very knowledgeable about Machine Learning, and is able to present the concepts and practices in a way that is easy to understand, along with actionable exercises to implement and practice. The presentation is very detailed and direct. A topic is introduced, explained, displayed with example and then we began implementing it.
Pablo –
Informative and well presented. Lots of Powerpoint with some basic graphs or illustrations.
John Murray –
Great course. Direct and to the point.
Sudheer Dharanikota –
Very poor communication. In a hurry to move from topic to topic
Bibek Baniya –
The course is informative and direct to the point.
Soumyabrata Bhattacharjee –
I really liked the way things are presented here. To the point & with cool references. I like that
James Creaser –
I’m learning a lot about machine learning.
Abhisek Nayak –
Consise and very clear to understand in that short time…like it… thanks
Spyros Gnl –
Dana has helped thousands of students to get into Machine learning through providing practical experience and in a concise manner! Fully recommend ALL her courses if you want to really understand these concepts!
Fatimah5 –
the instructor gives a very basic explanation for complicated material. that makes it very easy for me to understand given that I already studied that in a master class but I understand it better here. Thank you
Mohammed Faruk Suleiman –
So far good
Ramanjeet Singh Taneja –
So far it is fine. The Practical example so early didnt add value for me, or maybe it could have been explained at a more higher level with the objective made more clear. Or else, can be removed. Content structure looks to be good otherwise.
Sumit Kumar Jha –
This course is very good for beginners and instructor expalained the course in depth. I am very thankfull to her.
Nil Liu –
explanation was neat and efficient.
Mohammed H Jarbou –
It seems very good so far. The presentation goes so simple and to the point, and the content flow is also reasonable and logical as well.
Xo –
It is a great course to learn the basic algorithm of machine learning.
Vikrant Nandan –
Excellent Clearing Concept