Data Science Process/ Data Science Life Cycle

Numerical Problems - Classification II Confusion Matrix, Precision, Recall Numerical Problems

Error Metrics for Classification ll Precision ll Sensitivity ll ROC curve

Error Metrics for Classification ll Accuracy ll Confusion Matrix

Feature Transformation||Python

ANOVA test in Excel

Feature Selection using wrapper method||Forward Selection||Backward Elimination||RFE

Hypothesis testing||t test||R Programming

Feature Scaling||Feature Encoding||Python

Exploratory Data Analysis||Titanic Dataset||Red Wine Dataset||EDA

Outlier detection||Outlier||Outlier Removal||Python

Control Structures in R || Loops in R

Data cleaning|| Handling Missing Values in Python

Tools for data science

Data Structures in R||Data Objects in R||Lists||DataFrames||R Programming

Data Objects in R || Data Structures in R || Matrices, Arrays, Factors in R

Vectors in R||Atomic Vectors||Data Objects in R||Data Structures in R

Data types in R

Variables in R Programming

Data Science Process/ Data Science Life Cycle

Scipy

scipy - hands on codes

Tableau - Order return Analysis

Tableau - Sales vs Sales target

Tableau - Forecast Sales & top & bottom 5 sales by subcategory in same view