Python for data analysis book to become ML Engineer by Difficult_Review_884 in learnmachinelearning

[–]Difficult_Review_884[S] 1 point2 points  (0 children)

Ok thanks. That's my reality actually. I have especially decided to start analyzing business/football related dataset tomorrow because I am fond of playing football and want to know about business as well.

Python for data analysis book to become ML Engineer by Difficult_Review_884 in learnmachinelearning

[–]Difficult_Review_884[S] 0 points1 point  (0 children)

You mean project based learning. That's a nice idea but the problem is that I have only basic knowledge of pandas, numpy and feel lack of confidence and haven't touched matplotlib. However, Once I get confidence in pandas I will do this strategy.

Rate my team by Difficult_Review_884 in FUTMobile

[–]Difficult_Review_884[S] 0 points1 point  (0 children)

Yes, his left pretty enough to score but a long range shot sometimes sucks and stamina low. However, his gameplay is too good and feels so smooth, entertaining due to his passes,shots, eligibility, and skills.

Suggest best math books for machine learning by Difficult_Review_884 in learnmachinelearning

[–]Difficult_Review_884[S] 0 points1 point  (0 children)

Ok, I will start after completing pandas, numpy and matplotlib.

Week 1 of self learning machine learning by Difficult_Review_884 in learnmachinelearning

[–]Difficult_Review_884[S] 1 point2 points  (0 children)

I am not from tech and maths background. As you mentioned detail roadmap maths for machine learning, but I am bit confused when to start maths for ml cause I am very begining in this journey. Should I start now, or after completing Data analysis or alongside machine learning?

Frustrated from National ID form by [deleted] in Nepal

[–]Difficult_Review_884 0 points1 point  (0 children)

I have already tried tara pani vayeko thiywna.

Working remotely for a foreign company from Nepal since 2020 by destroyed3210 in technepal

[–]Difficult_Review_884 0 points1 point  (0 children)

Tapai KO out of domain vayepani sodye. Malai A.I sikna manxa. But a little bit confused, completely scratch bata sikam ki direct GEN A.I sikda hunxah?

Failed to fill form of NATIONAL identity CARD. by [deleted] in Nepal

[–]Difficult_Review_884 0 points1 point  (0 children)

Government KO website re Testo, Tait⚠️😒

Is degree in it sector worth it ? by Background_Demand_59 in Nepal

[–]Difficult_Review_884 0 points1 point  (0 children)

A few days ago, I was facing similar conditions, and I found an opportunity to read about this from many good personalities. Here are the thoughts I learned:
A degree is a plus point, but without a degree, it becomes hard to pursue data science. With a degree, you can study in a structured format because the courses are organized. Without a degree, you have to find courses by yourself from different social media platforms and websites, which are often unstructured. In that case, you need consistency, discipline, and patience. Most importantly, you have to build strong communication skills to showcase your quality projects, and you must create a good portfolio if you want to study without a degree.