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S9_Big Data Analytics / Cloud Computing Gr_3
S9_Big Data Analytics / Cloud Computing Gr_3
153 Students enrolled
Created by: Freda Dyrkaj, Arber Kukaj
Last Updated: 17th September 2024
English
Requirements
S9_Big Data Analytics / Cloud Computing Gr_3
Description
S9_Big Data Analytics / Cloud Computing Gr_3
Content
Introduction
1- Introduction to Data Science
21- Business intelligence
26- Exam in MySql-KNN
Python Language
2- If-Else Statements-Functions-Strings
3- Lists-Dictionaries
4- Tuples-Files
Data Wrangling
5- Data Cleaning with Pandas
6- Introduction to Analytics/Exercises
7- Data preparation with Numpy
8- Exam in Python/Pandas/NumPy
Analytics and Visualization
9- NumPy Visualization
10- Understanding data with Visualization
Introduction to RDBMS-MYSQL
14- Introduction to DBMS
15- MySql/Constr/Where
16- MySql/Alias/Index/view
17- MySql- Joins/Having/Group by
18- MySql-Exercises total lessons/Multiple Tables
Using Databases in Python
19- Python connect with MySql
20- Python MySql Project
Supervised Learning
11- Linear/Multiple Regression
12- Logistic regression/Scaling
13- Exam in Regression Analysis
22- P-Value StatTest
24- K-nearest neighbors (KNN)
23-Introduction to Heteroscedasticity
25- KNN-Error(Example Real Data)
27- K-Nearest Neighbors as Classifier and Regressor
28- Statistical Tests/P-test
UnSupervised Learning
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Freda Dyrkaj
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Arber Kukaj
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