So many questions and doubts..??🤷 With all the content on search engines, makes it quite difficult to understand the concept..!!🤯 Feeling worried or stressed.?? 🤔 Relax, We are here ..!!❤️ Read these short notes and understand the concept in the easiest way..!!🙌
Do you know how does a company test a new website upgrade?🤔 If not, here’s the statistical technique used behind it☺️☺️
You can anytime go through these last minute notes on A/B Testing😉
Data Scaling Technique
All you need to know about Data Scaling Techniques..!✌️
Learn and clear all your doubts related to Skewness..!🤓
Decode Statistics with real world examples
A great chance to Decode Statistics❤️ Generally data science aspirants face difficulty in understanding the statistics due to lack of practical approach and mathematics involved in it. Sometimes It is difficult to understand, how much mathematics is required for data science. 🤔 If you are facing the similar issue, then this bootcamp is for you!🤩
Deep Learning Interview Questions
Are you looking for a job, have submitted a few resumes, completed a few interviews and haven’t landed something yet? Don't worry, We are here to help you!
Are you facing challenges to transition from another domain to data science?? Or Struggling with how to crack interviews?? Or Not sure, how to prepare for data science?
Have you ever come across "Sampling" in statistics?
Have you thought, why do we need it?
We have prepared short notes for you to refer!!
Machine Learning Path
Path to be followed to become a Machine Learning Engineer
The most basic concept you need to know about Statistics to master Data Science is Probability!😉
It is one concept that is probably asked in every data science interview. That is why we have prepared last minute short notes on this topic.
Stand a chance to personally interact with an Industry specialist Mr. Sanket Patel a graduate from NIT, Surat. He is currently working as a Data Scientist at Amazon.
Do you get confused about what to do when you have more than 3 groups to test? Which test to use to find the difference among them? If yes, then don’t worry. We have prepared the last minute notes for you about ANOVA .
Did you know you can automate machine learning phases using Pycaret? Here's our post which has a simple tutorial on the same
Roadmap for learning NLP.
For more such update follow our LinkedIn.
Ever got confused what to do when you have less data? How to fit your model on less data and still make it perform better?