Do I have to be good at Mathematics to be good in Machine Learning / Data Science?
I suck at Mathematics, but ML/DS seems so fascinating. Worth a try if I hate Maths?

As they say, do what you enjoy doing.

Yyyyyeah you need maths, but i can only speak for data science.

Depends.
How you see yourself contributing to a ML project.

If as a programmer, writing ML libraries, then you can accompany with a mathematician and write only code.

If as a Data Scientist or Machine Learning Engineer, maths is compulsory.

In general, without maths, it's difficult to excel in the field of ML. If you have good grip on Algebra, probabilities, Matrices, you will have better understanding of the problem and the system.

@kneeDeepDev overkill if you are building a pet project.
Not overkill when you have joined a company and working on production stuffs.

I have mentioned a mathematician to emphasize how much maths is required to be good in ML.
Nowadays, almost everyone can write code for a ML problem. But understanding and feature extraction requires good mathematic knowledge.

To start(if you have difficulty with maths or slightly confused on how to start), read tons of Kaggle kernels of different problems and the obvious Andrew Ng Coursera course.

For me, the most difficult part is always the feature selection which involves great understanding of visualisation and mathematical interpretations.
Because, nothing is magic. It's all about maths that builds up ML systems.
Note: I am also an amatuer, who also dreams to end up with AI/ML team.

If you want to do real stuff that gets you serious money, math is a neccesary.

I have studied computer applications and my colleagues, engineering. They have had maths at college and they can pick things up faster than me.
[This is a cooked up story].
But long story short, you will need maths at some point.

@kneeDeepDev you Sir, I like you!

@github thank you for the explanation :)

@carlosjpc I see "serious money"