✨ The answer is: 👇👇

Question 15:
How do you deal with multicollinearity in regression models? What methods can be used to detect and address it?

Question 16:
What is the difference between hard and soft clustering? Can you give an example of algorithms that use each approach?

As a programmer, do you like mathematics?

Important metrics to monitor while monitoring machine learning model

Join our WhatsApp channel for more Data Science Resources 👇👇
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y

At the age of 19, 20, 21+ you will start to realize that life ain't easy. your circle of friends will start to become smaller. you lose yourself, you become frustrated, lonely for no reason, you will develop trust issues, you cry silently at night and wake up in the morning like nothing happened. you think about giving up many times but in the end you find yourself fighting again because you realize that this is stage where you must be strong to fight your fears and possibilities that everything will leave you.

Drop ❤️ if u felt this

You don't need to buy a GPU for machine learning work!

There are other alternatives. Here are some:

1. Google Colab
2. Kaggle
3. Deepnote
4. AWS SageMaker
5. GCP Notebooks
6. Azure Notebooks
7. Cocalc
8. Binder
9. Saturncloud
10. Datablore
11. IBM Notebooks
12. Ola kutrim

Spend your time focusing on your problem.💪💪

I have uploaded a lot of free resources on Linkedin as well


We're just 94 followers away from reaching 100k on LinkedIn! ❤️ Join us and be part of this milestone!

If you want to invest in the future, invest in:

• Machine Learning
• Water Technology
• Quantum Computing
• Internet of Things (IoT)
• Augmented Reality (AR)
• Quantum Information Science
• Agri-tech and Food Technology
• Next-Gen Telecommunications
• Autonomous Vehicles and Robotics
• Genomics and Personalized Medicine
• Advanced Materials and Manufacturing

What would you add?

Comment the answer 🤔

Coding and Aptitude Round before interview

Coding challenges are meant to test your coding skills (especially if you are applying for ML engineer role). The coding challenges can contain algorithm and data structures problems of varying difficulty. These challenges will be timed based on how complicated the questions are. These are intended to test your basic algorithmic thinking.
Sometimes, a complicated data science question like making predictions based on twitter data are also given. These challenges are hosted on HackerRank, HackerEarth, CoderByte etc. In addition, you may even be asked multiple-choice questions on the fundamentals of data science and statistics. This round is meant to be a filtering round where candidates whose fundamentals are little shaky are eliminated. These rounds are typically conducted without any manual intervention, so it is important to be well prepared for this round.

Sometimes a separate Aptitude test is conducted or along with the technical round an aptitude test is also conducted to assess your aptitude skills. A Data Scientist is expected to have a good aptitude as this field is continuously evolving and a Data Scientist encounters new challenges every day. If you have appeared for GMAT / GRE or CAT, this should be easy for you.

Resources for Prep:

For algorithms and data structures prep,Leetcode and Hackerrank are good resources.

For aptitude prep, you can refer to IndiaBixand Practice Aptitude.

With respect to data science challenges, practice well on GLabs and Kaggle.

Brilliant is an excellent resource for tricky math and statistics questions.

For practising SQL, SQL Zoo and Mode Analytics are good resources that allow you to solve the exercises in the browser itself.

Things to Note:

Ensure that you are calm and relaxed before you attempt to answer the challenge. Read through all the questions before you start attempting the same. Let your mind go into problem-solving mode before your fingers do!

In case, you are finished with the test before time, recheck your answers and then submit.

Sometimes these rounds don’t go your way, you might have had a brain fade, it was not your day etc. Don’t worry! Shake if off for there is always a next time and this is not the end of the world.

Classes That SHOULD Be Mandatory in High School:

• Taxes
• Investing
• Real Estate
• Negotiating
• Basic coding
• Building credit
• Microsoft Excel
• Personal Finance
• Entrepreneurship
• Time Management
• Money Management

What would you add to the list?

FREE Resources to learn Statistics
👇👇

Khan academy: 
https://www.khanacademy.org/math/statistics-probability

Khan academy YouTube: 
https://www.youtube.com/playlist?list=PL1328115D3D8A2566

Statistics by Marin : 
https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa

Statquest YouTube channel: 
https://www.youtube.com/user/joshstarmer

Free Statistics Books

https://www.sherrytowers.com/cowan_statistical_data_analysis.pdf

Cold email template for Freshers 👇

Dear {NAME},

I hope this email finds you in good health and high spirits. I am writing to express my keen interest in the internship opportunity at the {NAME} and to submit my application for your consideration.


Allow me to introduce myself. My name is Ashok Aggarwal, and I am a statistics major with a specialization in Data Science. I have been following the remarkable work conducted by {NAME} and the valuable contributions it has made to the field of biomedical research and public health. I am truly inspired by the {One USP}


Having reviewed the internship description and requirements, I firmly believe that my academic background and skills make me a strong candidate for this opportunity. I have a solid foundation in statistics and data analysis, along with proficiency in relevant software such as Python, NumPy, Pandas, and visualization tools like Matplotlib. Furthermore, my prior project on {xyz} has reinforced my passion for utilizing data-driven insights to understand {XYZ}


Joining {name} for this internship would provide me with a tremendous platform to contribute my statistical expertise and collaborate with esteemed scientists like yourself. I am eager to work closely with the research team, assist in communications campaigns, engage in community programs, and learn from the collective expertise at {Name}.


I have attached my resume and would be grateful if you could review my application. I am available for an interview at your convenience to further discuss my qualifications and how I can contribute to {NAME} initiatives. I genuinely appreciate your time and consideration.


Thank you for your attention to my application. I look forward to the possibility of joining {NAME} and making a meaningful contribution to the organization's mission. Should you require any further information or documentation, please do not hesitate to contact me.

Wishing you a productive day ahead.


Sincerely,

{Full Name}

You don't need:

- More books
- More tutorials
- More step-by-steps.

You need execution.

Instead:

- Outline a project.
- Break it down into milestones.
- Start building the damn thing.

Quit tutorial-hell.

Start now — You got this.

Life is better when you are happy

but life is best when other

people are happy
because of you.

Be an inspiration and always share a smile.