Hyperparameter Tuning using Scikit Learn||Machine Learning Tutorial||Part-15||Malayalam
This part of "Machine Learning Tutorial" in Malayalam covers:
Implementation of Hyperparameter Tuning using sklearn

Overall scope of course
1. Introduction to Machine learning- Need for AI/ML, why to learn AI/ML, machine learning types, supervised, unsupervised and reinforced learning, application, difference between Human thinking Vs Machine thinking, difference between programming vs Machine learning.
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2. Mathematics for Machine learning- Trigonometry, linear algebra, matrices, calculus & probability.
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3.Python for Machine learning- variables, different libraries needed for data science such as numpy, pandas, matplotlib, etc
Python basics:youtube.com/playlist?list...
Python Intermediate: youtube.com/playlist?list...
Python Projects : youtube.com/playlist?list...
4. Deep-dive into machine learning- How ML algorithm works, the concept of cost function and gradient descent, practical examples for linear regression and Classifications, ML Algorithms and its usage.
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Reference video for theory:
   • Hyper parameter tuning||Malayalam||Machine...  

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