Soumayan-pal01/Hands-on-ML-Basic-to-Advance-

Full Machine learning Guide basic to advance

Master Machine learning

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Description

Topics

1.Extracting Data

• Web scrapping - Tool used :->> Beautiful Soup

  which extract the data from web pages.

2.Visualization

• Different types plots in Seaborn & Matplotlib

3. Feature selection

• Link - https://machinelearningmastery.com/feature-selection-with-real-and-categorical-data/

4. Basic concepts of statistic

A). Descriptive

B). Inferential

• Probability(conditional, Bayes rule)
• Mean ,Mode, varience, Standard Deviation
• Different types of Didtributions Ex. Normal, Log normal, Binomial
• co-varience
• Center limit Theorem
• Chebyshev's inequality
• Pearson coeffiecent
• spearman's Rank correlation
• R square or adjusted R square
• Hypothesis Testing (T-test ,chi-square test,Anova,Z test)
• Type 1(alpha) & Type 2(Beta) Error
• P value

summary

useful urls

licence

contact details