ROADMAP to Machine Learning (ML) | Yaswanth Sai Palaghat (Tech Evangelist) | TGV Episode #27

In this episode #27, the hosts Naveen Samala & Sudhakar Nagandla have interacted with another guest Yaswanth.

Yaswanth Sai Palaghat is currently working as a software engineer at a product based company in Hyderabad.

A machine learning Evangelist with a major content delivery focus on machine learning. Owns a python library developed during his engineering. 

Active GitHub user with more than 150 real-time projects available in GitHub.

He considers himself as a Techie, loves exploring technologies and teaching the same in his community. He is an Udemy instructor with active courses.

Yashwant is a YouTuber with a well-strengthened YouTube channel with the motto of delivering tech content and will always try to motivate engineering students with his videos.

A content developer with active tech content delivery in all forms(text, graphics, videos). 

A blogger and runs an active blog titled "TECHIE EMPIRE" which aims to help and motivate the engineering graduates to choose the right path on technologies.

He is very active in social media with more than 20k connections all over his social profiles and pages in LinkedIn, Instagram and YouTube.

Coming to his education, Yaswanth graduated from Narayana Engineering College in the stream of Computer Science and Engineering in 2019 in which he was a college topper. 

Apart from tech life, he is interested in film making where he is into story writing, editing, direction and a protagonist too. He Owns a YouTube channel named "THE FUN BITE" with more than 10 short films.

Listen to Yaswanth’s guidance on:

• How to Explain Machine Learning to your grandparents?
• How ML can help in solving real world problems?
• How to start leaning ML?
• Resources for learning ML
• Is it important to have mathematical background for ML?
• ML vs Deep Learning – Basic differences
• How ML is related to AI & Data Science?

Yaswanth’s LinkedIn profile: https://www.linkedin.com/in/yaswanthpalaghat/

Resources shared by Yaswanth:

1. Linear Algebra & Statistics:

Linear Algebra for ML :https://youtu.be/1VSZtNYMntM

Statistics for ML : https://youtu.be/hjZJIVWHnPE

2. Python Programming:

   Python for Absolute Beginners: https://www.udemy.com/course/pythonforabsolutebeginners/?referralCode=E2DBB8598710151C2783

3. Data Analytics with Python Libraries(Numpy, Pandas, Matplotlib):

    Data Analytics A-Z with Python: https://www.udemy.com/course/dataanalyticsa-zwithpython/?referralCode=AB085EE2CA864CB69FD7

4. Data Cleaning:    https://youtu.be/2HzsTwHL7H05.Project-I

    Data Analytics on Iris Flowers Dataset : https://github.com/yaswanthpalaghat/Pandas-implementation-and-workflow-on-iris-flowers-dataset

  6.Computer Vision with OpenCV:

   Understanding OpenCV : https://opencv.org/

 7.Project-II

   Building a Face Detection and Recognition Model : https://www.udemy.com/course/building-a-face-detection-and-recognition-model-from-scratch/?referralCode=28F5323F045A89665F90

8.Machine Learning with Scikit-Learn: https://youtu.be/pqNCD_5r0IU9.Hands-on with ML Algorithms: https://youtu.be/RnFGwxJwx-010.Solving ML Challenges:   https://www.kaggle.com/learn/microchallenges11.Project-III: Linear Regression on Diabetes DataSet :    https://github.com/yaswanthpalaghat/Linear-Regression-on-Diabetes-data-set-to-find-out-the-predicted-data-set12. Natural Language Processing and Text analytics:  https://youtu.be/OQmDhwhj78Y13.Project-IV

     Sentiment Analysis using NLP : https://github.com/yaswanthpalaghat/NLP-Sentiment-analysis-using-Machine-Learning-and-flask

Enjoy the episode!

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