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Diploma in Python with Data Science and Machine Learning by Udemy
Python Bootcamp with Data Science & Machine Learning with bonus Java series
Course Highlights
- Advanced Python with Data science & Machine Learning
- Python Data Types Lists, dictionary
- Java programming in deep
- Data science with Java
- Machine Learning with python
- Multithreading
- Current Projects
Skills you will learn!
Curriculum
6 Topics
2.1 Variables in Python
2.2 Data Types
2.3 Lists in Python
2.4 Demo of List function
2.5 Tuples
2.6 Python Dictionary
4 Topics
3.1 Python Operators
3.2 If Else statement
3.3 Indentation
3.4 Assignment 1
5 Topics
4.1 Iterative Statements
4.2 While Statement
4.3 For Statement
4.4 Touple
4.5 Assignment 2
5 Topics
5.1 Demo 1 For loop
5.2 Demo 2 While loop
5.3 Demo 3 Range function
Test 1
Test 2
9 Topics
6.1 Python Bootcamp Introduction
6.2 Data Science & ML introduction
6.3 Python Crash Course Introductory
6.4 Python Crash course lecture 1
6.5 Dictionaries in Python
6.6 Jupiter Python Exercises
6.7 Operators in Python
6.8 Iterative Statements
6.9 Python Functions
4 Topics
7.1 Data Analysis Numpy Part 1
7.2 Data Analysis Numpy Part 2
7.3 Data Analysis Numpy Part 3
7.4 Data Analysis Numpy Part 4
7 Topics
8.1 Data analysis Pandas part 1
8.2 Data analysis Pandas part 2
8.3 Data analysis pandas Part 3
8.4 Data analysis pandas Part 4
8.5 Data Analysis Pandas Part 5
8.6 Data Analysis Pandas Part 6
8.7 Data Analysis Pandas Part 7
2 Topics
9.1 Data Visualization Matplotlib Part 1
9.2 Data Visualization Matplotlib Part 2
2 Topics
10.1 Data Visualization seaborn Part 1
10.2 Data Visualization seaborn Part 2
2 Topics
11.1 Machine Learning part 1
11.2 Machine Learning part 2
12 Topics
1. Java introduction
2. Variables in Java
3. Identifiers in Java
4. Reserved Keywords in Java
5. Literals in Java
6. Arrays in Java
7. Strings in Java part 1
8. Strings in Java part 2
09. Operators in Java
10. Type Casting in Java
11. Control statement If else in Java
12. Switch Statement in Java
11 Topics
01. MachineLearning introduction
02. Types of Machine Learning
03. Unsupervised Learning
04. Supervised Learning
05. Case study
06. Bayes Theorem
07. Support Vector Machine Algorithm
08. KNN Algorithm
09. Decision Tree
10. Hierrarchical Clustering
11. K Means Algorithm
6 Topics
Speech recognition course
Computer vision lecture 1
Computer vision lecture 2
Computer vision lecture 3
Computer vision lecture 4
Computer vision lecture 5
7 Topics
PBL1
PBL2
PBL3
PBL4
PBL5
PBL6
PBL7
11 Topics
1. Web development 1
2. Web development 2
3. Web development 3
4. Web development 4
5. Web development 5
6. Web development 6
7. Web development 7
8. Web development 8
9. Web development 9
10. Web development 10
11. Web development 11
11 Topics
Web Development CSS 1
Web Development CSS 2
Web Development CSS 3
Web Development CSS 4
Web Development CSS 5
Web Development CSS 6
Web Development CSS 7
Web Development CSS 8
Web Development CSS 9
Web Development CSS 10
Web Development CSS 11
9 Topics
JavaScript 1
JavaScript2
JavaScript3
JavaScript4
JavaScript5
JavaScript6
JavaScript7
JavaScript8
JavaScript9
2 Topics
Revision1
Revision2
7 Topics
First lecture
Second lecture
Third lecture
Fourth lecture
Fifth lecture
Sixth lecture
Seventh lecture
Diploma in Python with Data Science and Machine Learning
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