Fireblaze Podcasts: Recent Episodes

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In Episode 09 of Fireblaze Podcast - We Will Discuss Why Python Is Best For Data Science?

  • Powerful & Easy To Use
  • Choice Of Libraries
  • Visualization & Graphics
  • Compatibility With Hadoop
  • Powerful Packages
  • Suitable For Machine Learning

How Is Python Used In Each Stage Of Data Science?

  • First Stage: parallel processing
  • Second Stage: scrapping unwanted data
  • Third Stage: a pictorial representation of data
  • Fourth Stage: Machine Learning

Most Popular Python Data Science Libraries

  • Pandas
  • Matplotlib
  • Scipy
  • Scikit-learn

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We aim to meet the growing demand for talent in the field of Data Science, ML and AI by empowering students and working professionals to develop relevant competencies & accelerate their career progression.

We Have Specialization Programs in Emerging Technologies Like Data Science, Machine Learning, and Artificial Intelligence.

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In Episode 08 of Fireblaze Podcast - We Will Discuss Various roles and designations in the world of data science

Various roles and designations in the world of data science

  • Data Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Data Visualization Engineer
  • Data Scientist

About Fireblaze AI School

We aim to meet the growing demand for talent in the field of Data Science, ML and AI by empowering students and working professionals to develop relevant competencies & accelerate their career progression.

We Have Specialization Programs in Emerging Technologies Like Data Science, Machine Learning, and Artificial Intelligence.

Explore on Courses Here - Fireblaze Courses

Send in a voice message: https://anchor.fm/fireblaze-ai-school/message

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In episode 7 of the Fireblaze Podcast, We discuss All Data Science and the best path to be one.

Key questions discussed.

  • What is Data Science?
  • History of Data Science
  • What Data Scientists do?
  • Many Paths to Data Science

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In episode 6 of the Fireblaze Podcast, We discuss all the details about PyCaret with Its founder and Author Mr. Moez Ali.

Key questions discussed.

  • Q1. - How was your early education and background?
  • Q2. - Can you tell us about the exciting journey from the commerce domain to transiting in Analytics?
  • Q3. - Previous work experiences and projects?
  • Q4. - Motivation behind founding PyCaret?
  • Q5. - How much time does it took for development and what were your challenges in designing.
  • Q6. - What were you go-to market strategies which launching version 1?
  • Q7. - How are you building the team and contributors for PyCaret?
  • Q8. - What would be the life cycle for a project in Data Science and Machine Learning using PyCaret?
  • Q9. - PyCaret is a huge success with more than 1,70,000+ downloads so moving ahead what is your vision for PyCaret and where do you see it in the coming days?
  • Q10. - What are the new features we should look forward to in the coming new versions of PyCaret?
  • Q11. - What would be your Word of Wisdom for all the new learners and data science enthusiasts?

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In episode 5 of the Fireblaze Podcast,

We discuss all the details about P-Value from Statistics.

  1. We discussed What is P-Value?

  2. What are the Null and Alternate Hypothesis?

  3. What is the significance level ( Alpha )?

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In episode 4 of the Fireblaze Podcast,

We have a very wonderful guest with us in this episode i.e Mr. Vijay Pravin Maharajan, He is a  ‘40 under 40 Data Scientists’ Awardee in India.

He is working with Siemens, as a Customer & Analytics Solutions Expert - BA in Germany. The host for the session is Mr. Sajin Madhavan.

Key Takeaways -

  1. The journey of becoming 40 under 40 Data Scientists’ Awardee in India.
  2. Roadway to start learning Data Science.
  3. How important is coding for Data Science?
  4. Importance of Mathematics for Data Science.
  5. Application of Data Science in Railways.
  6. Will Julia overtake Python Programming for Data Science?
  7. Platforms used to get internships in the domain.
  8. Importance of LinkedIn.

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In episode 3 of the Fireblaze Podcast,

We discuss all the details about Machine Learning Algorithms, Such as - 

  1. We discussed What is Machine Learning Algorithm? 

  2. What are the different types of Machine Learning algorithms?

  3. Difference between Supervised, UnSupervised, and Semi-Supervised Machine Learning Algorithms.

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In the episode 2 of the Fireblaze Podcast, 

We discuss all the details about Data Science, Such as -

  1. We discussed What is Data Science ?

  2. Life-cycle of a Data Science.

  3. Role of Data Scientist, and much more.

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This is an Episode Zero of the Fireblaze Podcast - By Aniruddha Kalbande

We are super excited to release our podcast channel and will be regularly conducting the interview and providing amazing tips and tricks over emerging technologies. 

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In episode 1 of the Fireblaze Podcast , We discussed the difference between a data analyst and a data scientist. There roles and responsibilities. 

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