On The auspicious day of Diwali,
I came across Microsoft AI School. and feeling Wow!!!!!!
However many pending things which I need to cover before I start jumping into new things.
So, here my Study Plan after doing couple of certifications from 'Microsoft Professional Program for Datascience'.
will write an entire post about what I studied from those certificates and how it has helped me and still what is missing so i need to restructure my personal Study Plan to be competent in the field of DataScience.
1) 'Python for Data Analysis,
it's Github code exercises for Jupiter Notebook
2) Math of Intelligence
3) DAT275x : Principles of Machine Learning: Python Edition
its Github code exercises
4) BigQuery, will do Project on Kaggle using BigQuery
5) Refer Kernel Master's code on Kaggle for various problems.
6) Practice on Kaggle Datasets and Hands-On for various types of Data. will Identify gradually projects I will cover and will mention them here.
5) Participate in Kaggle compitition
My personal Challenges:
1) Whatever I do is self study, need to be very focused in my night time study.
and revise them in day time by listening videos and thinking solutions for the problems I face whenever I get chance.
2) I really need to find some friends with who I can interact about what I study, how I study, what problem I face etc. Write now best is diary.
I came across Microsoft AI School. and feeling Wow!!!!!!
However many pending things which I need to cover before I start jumping into new things.
So, here my Study Plan after doing couple of certifications from 'Microsoft Professional Program for Datascience'.
will write an entire post about what I studied from those certificates and how it has helped me and still what is missing so i need to restructure my personal Study Plan to be competent in the field of DataScience.
1) 'Python for Data Analysis,
it's Github code exercises for Jupiter Notebook
2) Math of Intelligence
3) DAT275x : Principles of Machine Learning: Python Edition
its Github code exercises
4) BigQuery, will do Project on Kaggle using BigQuery
5) Refer Kernel Master's code on Kaggle for various problems.
6) Practice on Kaggle Datasets and Hands-On for various types of Data. will Identify gradually projects I will cover and will mention them here.
5) Participate in Kaggle compitition
My personal Challenges:
1) Whatever I do is self study, need to be very focused in my night time study.
and revise them in day time by listening videos and thinking solutions for the problems I face whenever I get chance.
2) I really need to find some friends with who I can interact about what I study, how I study, what problem I face etc. Write now best is diary.
