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ML-Training

Repository contains the course I went through to study basics on modelling using ML techniques.Course ranges 6 days, organized per day or algorithem wise and with the workspace, so you can download it indivudlly. Any documents or data here is not mine neither I hold any re-distribution rights in any ways. Please reach out to me in case if you want me to remove the content from here.

Will upload the list of R packages used later

  • following topics where covered
  • Introduction to Business Analytics
  • Predictive Analytics
  • Preliminary Analysis of Data
  • Descriptive Statistics using R
  • Data Preprocessing
  • Test of Hypothesis
  • Normality Test
  • ANOVA
  • Chisquare test
  • Correlation & Regression
  • Modelling Non linearrelations
  • Binary Logistic Regression
  • Tree based Models
  • Multi Response Scoring Methods
  • Market Basket Analysis (collaborative filtering)
  • Factor Analysis
  • Cluster Analysis
  • Naive Bayes Classifier