100 data sciecne interview questions and answers
Few important model evaluation metrics https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/
Excellent book for Page Rank Algorithms :- http://infolab.stanford.edu/~ullman/mmds/book.pdf
Handson Machine Learning and projects :- https://www.youtube.com/watch?v=Y17Y_8RK6pc&list=PL5tcWHG-UPH1OeZ2vU5xQd7RVpkWvwJny
Basics operations of Pandas https://www.youtube.com/watch?v=hl-TGI4550M&list=PL5-da3qGB5IBITZj_dYSFqnd_15JgqwA6
HUBs and Authorities used in Page Ranking Algorithm https://www.youtube.com/watch?v=au8HHqfi8rY shared in ML Enthusiast Watsapp Group .
Natural Language Processing by Stanford University Good one: https://www.youtube.com/watch?v=oWsMIW-5xUc&list=UU5zx8Owijmv-bbhAK6Z9apg&index=27
Math for ML https://www.youtube.com/c/MirrorNeuron
the content is explained really well https://www.youtube.com/watch?v=FqcKTNcRH88
Deep learning simplified https://www.youtube.com/playlist?list=PLjJh1vlSEYgvGod9wWiydumYl8hOXixNu
Can anyone guide me
From wher I can start to learn machine learning.
I know python, and libraries and statistics, r language
Share me any informative materials..
Start with the basics algorithms like Logistic regressions, Naive Bayes, Decision Tree, Random forest and try the Iris projects where you need to train and test the Iris data and with the different input values it will predicts which flower it will be it will give the basic idea. Refer the book by Aurelian Geron to start. for videos starts with…[Read more]
Computer Vision :- Basic Image Processing:
In this article we are going to discuss about the basics of Image processing in more applications oriented way.
1) What is an Image? Digital Image formation?
An image is combinations of “Pixels” nothing but numbers…[Read more]