Introduction to Data mining with Python

ردیف	شهریه	روزهای برگزاری	ساعت برگزاری	تاریخ شروع کلاس	ظرفیت	لینک ثبت نام
1	25.000.000 ریال	چهارشنبه ها	17 الی 21 (online )	3 خرداد 1402	7

Introduction to Data mining with Python

Syllabus:

1. Introduction to Data mining concept
   1.   Knowledge extraction process
   2.   CRISP-DM methodology

2. Data Preprocessing
   1. Data Cleaning (Missing value handling and outlier detection)
   2. Data Integration (Integration fields and records)
   3. Data Reduction
   4. Data Transformation (Standardization and Normalization)
   5. Implementing data preprocessing in Python

3. Classification and Regression algorithms
   1. Decision Trees
   2. Neural Networks
   3. Lazy learning
   4. Regression algorithms
   5. Support Vector Machines (SVM)
   6. Unbalanced data
   7. Ensemble methods
   8. Implementing classification and regression methods in Python

4. Clustering algorithms
   1. Partitioning methods
   2. Hierarchical methods
   3. Density-based methods
   4. Implementing clustering methods in Python

5. Frequent patterns and Association rules
   1. Apriori algorithm
   2. FP-Growth algorithm
   3. Implementing frequent patterns and association rules methods in Python

     6.   Model Evaluation

1. Model evaluation methods in prediction models
2. Model evaluation methods in clustering methods
3. Evaluating frequent patterns and association rules