Machine Learning : DS

  

Analytics  : a brief  over view 



  This is in progress blog

Analytics /Business Analytics : Tools and techniques to turn data into meaningful business insights.

Descriptive Analytics : Reaction 

Preditive Analytics : What can happen ?

Discovery Analytics : Mining through data and looking for interesting patterns & correlation

Prescriptive Analytics :  What should be done to have best o/ps ?


Tools

When to use  R?

When to use Python ?
    Machine Learning :Machine Learning refers to the techniques involved in dealing with vast data in the most intelligent fashion (by developing algorithms) to derive actionable insights.



Simple Linear Regression : 


Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables.

Types of charts

Pie
Bar
Boxplots
Histograms
Line Graphs
Scatterplots


Measures of central Tendency

Mean
Median
Mode

Linear Regression 
Multiple Regression 
Logistic Regression 

Distributions

Normal 

Binomial 
Poission

Variance 

Variance

Co varinance

Descision Tree

Random Forest

Survival Analysis

Chi Square Test

• 
  

https://www.analyticsvidhya.com/blog/2017/12/introduction-to-altair-a-declarative-visualization-in-python/

• Qualitative Data
• Quantitative Data
• Numerical Measures
• Probability Distributions
• Interval Estimation
• Hypothesis Testing
• Type II Error
• Inference About Two Populations
• Goodness of Fit
• Analysis of Variance
• Non-parametric Methods
• Simple Linear Regression
• Multiple Linear Regression
• Logistic Regression