This episode is the introduction to the podcast, the Machine Learning journey we shall take together, details of the episodes. These Episodes are of short duration just to keep it simple. Explained with the help of Examples in a very simple language striking a balance between the technical terms and the using them appropriately were ever needed, backed with a simple explanation. The episodes will surely make life easy for you all. I hope to give my best. 
Stay Tuned.


YouTube Channel:
https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber
Website:
https://machinemantra.in/





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Introduction to Podcast

This Podcast is created for those who are taking their first step in Machine Learning, those of you who want to brush up the concepts of Machine Learning, learn in a very simple, easy, and interesting manner.

The episodes cover the basic concepts of Machine Learning, getting familiar with models, algorithms, other technical concepts
.
Learn, update your self while you are travel, jog, exercise, or relax.

The VISION is" Education for Empowerment".
Making Machine Learning accessible to all, willing to learn, grow with Technology and Time.

Education

Training

Language Courses

Higher Education

K-12

Educational Technology

Hi
So if anyone wants to collaborate, I will be glad to offer my assistant. 
Reach me out
sharma25prianca@gmail.com
Instagram machinemantra
YouTube Channel: Machine Learning by Priyanka Sharma

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Collaboration

The episode explains what is meant by predictive modeling and predictive analysis in Machine Learning, bringing out the differences between the two.

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Predictive Modeling and Predictive Analysis in Machine Learning

The episode discusses why R and Python are really popular languages in the Data Science community. The similarity and differences between the two languages in an elaborate manner.



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R and Python Comparison

The episode discusses what is feature engineering in Machine Learning, what are various techniques used in Machine Learning like Imputation, Scaling, One hot encoding, and much more.
Website: https://machinemantra.in/
YouTube: https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber

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Feature Engineering in Machine Learning

This episode discusses various types of Regression Metrics in Machine Learning. Most common Regression metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), RMSE, R squared, and Adjusted R squared regression metrics. There is further a little discussion upon which Regression Metric to use for evaluating the Regression Problems, pros and cons of the above-mentioned Metrics.
YouTube:https://www.youtube.com/channel/UCh3IeGHegUhWPmxNG0EYebw?view_as=subscriber
Website: https://machinemantra.in/



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Send in a voice message: https://podcasters.spotify.com/pod/show/priyanka-sharma12/message

Introduction to Podcast

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