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Sumaiya Sande

Sumaiya Sande

Statistics 101 for Data Science : Part 4

I am writing the series on Statistics for data science and this part continues from part 3 in which I explained the detail process of…

Dec 5, 2023

Statistics 101 for Data Science : Part 4

Dec 5, 2023

Sumaiya Sande

Statistics 101 for Data Science : Part 3

I am writing the series on Statistics for data science and this part continues from part 2 in which I explained basic concepts in…

Nov 25, 2023

Statistics 101 for Data Science : Part 3

Nov 25, 2023

Sumaiya Sande

Statistics 101 for Data Science : Part 2

I am writing the series on Statistics for data science and this part continues from part 1 in which I explained : population, sample…

Nov 23, 2023

Statistics 101 for Data Science : Part 2

Nov 23, 2023

Sumaiya Sande

Statistics 101 for Data Science : Part I

Being from academic background in statistics and working in data science industries for the last 3+ years, I always see data science folks…

Nov 22, 2023

Statistics 101 for Data Science : Part I

Nov 22, 2023

Sumaiya Sande
in
Analytics Vidhya

Pros and Cons of popular Supervised Learning Algorithms

We all have used one of the following supervised learning algorithms for predictive analysis:

Nov 4, 2020

Nov 4, 2020

Sumaiya Sande
in
Analytics Vidhya

Get started with Time series Forecasting in python👍

Overview :

Oct 10, 2020

Get started with Time series Forecasting in python👍

Oct 10, 2020

Sumaiya Sande
in
Analytics Vidhya

Principal Component Analysis : Theory

Principal Component Analysis (PCA) is one of the feature extraction methods to identify patterns in data, and expressing the data in such…

Sep 15, 2020

Principal Component Analysis : Theory

Sep 15, 2020

Sumaiya Sande

Sumaiya Sande

PhD in Statistics from National University of Singapore. ML and AI Enthusiast. Follow me on LinkedIn:https://www.linkedin.com/in/sumaiya-sande/

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