Python and Analytics for Data Science and Machine Learning

سرفصل های دوره

Kick Start Your Data Science Career from Beginner to Master

1. Course Introduction and Structure

1. Introduction

2. Course Introduction.html

2. Introduction to Variables and Strings

1. Introduction to Variables

2. Variables, Datatypes and Expressions

3. Variables and Datatypes.html

4. Classroom 1 Hands-on Exercise on Variables and Expressions

5. Homework Hands-on Exercise on Variables and Expressions.html

6. Introduction to Strings and Functions

7. Strings and its Functions.html

8. Classroom 2 Hands-on Exercise on Strings

9. Homework Strings and its Functions.html

3. List, Tuple and Dictionary

1. Introduction to List

2. List and its Functions

3. List and its Functions.html

4. Introduction to Tuples and Dictionary

5. Tuples and Dictionary.html

6. Classroom 3 Hands-on Exercise on List and Tuples

7. Classroom 4 Hands-on Exercise on Dictionary

4. Conditions and Loops

1. If-Else Conditions and Logical Operators

2. Conditions and Logical Operators.html

3. Classroom 5 Hands-on Exercise on Conditions

4. Loops (For and While)

5. List Comprehension

6. Loops and List Comprehension.html

7. Classroom 6 Hands-on Exercise on Loops

5. Functions and Case Study 1

1. Introduction to Functions and Return Statement

2. Introduction to Functions.html

3. Classroom 7 Hands-on Functions

4. Homework List, Tuples, Dictionary, Loops, Conditions, Functions.html

5. Case Study 1 Loan Risk Analysis

6. Data Science Numpy and Functions

1. Introduction to Numpy Package

2. Introduction to Numpy.html

3. Part 1 Numpy Functions

4. Part 1 Numpy Functions.html

5. Part 2 Numpy Functions

6. Part 2 Numpy Functions.html

7. Part 3 Numpy Functions

8. Part 3 Numpy Functions.html

9. Classroom 8 Hands-on Exercise on Numpy Package

7. Data Science Pandas Package and Case Study 2

1. Introduction to Pandas Series

2. Pandas Series.html

3. Introduction to Pandas DataFrame

4. Create Pandas DataFrame.html

5. Access Pandas DataFrame

6. Access Pandas DataFrame.html

7.1 storecities.csv

7.2 train.csv

7. Part 1 Pandas Functions

8.1 storecities.csv

8.2 train.csv

8. Part 2 Pandas Functions

9. Pandas Package.html

10.1 ities.xlsx

10.2 storecities.csv

10. Part 1 Classroom 9 Hands-on Exercise on Numpy and Pandas

11.1 ities.xlsx

11.2 storecities.csv

11. Part 2 Classroom 9 Hands-on Exercise on Numpy and Pandas

12.1 homework4.pdf

12.2 homework5_bigmart.xlsx

12.3 product_data.csv

12. Homewrok 4 Numpy and Pandas Libraries.html

13.1 churn_prediction_course.csv

13. Case Study 2 Churn Prediction

8. Data Science Data Visualization

1.1 product_data.csv

1.2 train.csv

1. Introduction to Visualization

2.1 product_data.csv

2.2 train.csv

2. Visualization Matplotlib and Seaborn Packages

3. Data Visualization.html

4. Part 1 Classroom 10 Hands-on Exercise on Visualization

5. Part 2 Classroom 10 Hands-on Exercise on Visualization

6.1 homework5_bigmart.xlsx

6.2 homework5.pdf

6.3 product_data.csv

6. Homework 5 Data Visualization.html

9. Case Study 3 and Projects

1.1 clustering_course.csv

1. Case Study 3 Customer Segmentation

2.1 nyc_taxi_trip_duration.xlsx

2. Project 1 New York Trip Duration.html

3.1 titanic_dataset.csv

3. Project 2 Titanic Disaster.html

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تولید کننده: Udemy-Training