Data Analytics & Machine Learning

Data Analytics & Machine Learning

1. Algorithm

   • K-means
   • Linear Regression
   • SVM
   • Decision Tree
   • apriori
   • KNN

2. Visualization

   • ggplot2
   • boxplot
   • scatter plot
   • histograms

3. Obtained data

   • csv, txt, xls

4. CONCEPTS

   • Classification Model
   • Regression MOdel
   • Supervised Learning
     • Regression
       • Linear Regression
       • MUltiple Linear Regression
         • Dummify
     • Classification
   • Unsupervised Learning
     • Association RUle (MBA)
       • Apriori Algorithm
     • Clustering
       • K-means

5. PREPROCESSING

   • Data Cleaning
     • NOrmalization
     • Standarization
     • remove Outliers
       • Boxplots
     • NA
   • Data Collection
     • Feature
     • Training set
     • Testing set
     • Validation set

6. Evaluation

   • underfitting
   • Correlation
   • Cross Validation
   • Validation Set
   • Overfitting

7. CLASIFFICATON

   • confusion matrix
     • Precision
     • Recalll
     • True Negative (TN)
     • True Positive (TP)
     • False positive (FP)
     • False Negative (FN)