Python in 10 Days!
Python – Introduction
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Python – Installation and Setup
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Python – Basic Syntax
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Python – Data Types
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Python – Operators
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Python – Conditional Statements
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Python – Loops
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Python – Basic Math & Numbers
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Python – Strings
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Python – Lists
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Python – Tuples
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Python – Dictionary
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Python – Date and Time
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Python – Functions
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Python – Anonymous Functions
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Python – Modules
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Python – Files & IO
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Python – File Operations
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Python – Exception Handling – 1
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Python – Map, Filter, Reduce
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Python – Date and Time 2
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Python – Object Oriented Programming
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Python – Sending SMTP Email
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SN | Lesson | Text/Procedure | Video |
1 | Introduction to Python Programming | Text | Video |
2 | Python Installation and Setup | Text | Video |
3 | Basic Python Syntax | Text | Video |
4 | Data Types in Python | Text | Video |
5 | Python Operators | Text | Video |
6 | Conditional Statements | Text | Video |
7 | Loops in Python | Text | Video |
8 | Basic Math and Numbers | Text | Video |
9 | Strings | Text | Video |
10 | Lists | Text | Video |
11 | Tuples | Text | Video |
12 | Dictionary | Text | Video |
13 | Date and Time – 1 | Text | Video |
14 | Date and Time – 2 | Text | Video |
15 | Functions in Python | Text | Video |
16 | Anonymous Functions(Lambda Expressions) | Text | Video |
17 | Modules | Text | Video |
18 | Files and IO | Text | Video |
19 | File Operations | Text | Video |
20 | Exception and Error Handling | Text | Video |
21 | Map, Filter and Reduce | Text | Video |
22 | Object Oriented Programming | Text | Video |
23 | Python Quiz – Quiz | Text | Video |
I recommend you also follow the Machine Learning 101 Course bases on Python.
Machine Learning 101, Lecture 1: https://www.kindsonthegenius.com/2019…
Lecture 1 – Introduction to Machine Learning 101 Course: https://lnkd.in/dA9AMhR
Lecture 2 – Machine Learning Overview & Some Basic Terms: – https://lnkd.in/etaqdy5
Lecture 3 – Classes of Machine Learning Problems: https://lnkd.in/dbYidEm
Lecture 4 – Simple Linear Regression Problem: https://lnkd.in/dZe28Ji
Lecture 4a – The 3 Fundamental Theories of Machine Learning
Lecture 5 – Equation of a Regression Line: https://youtu.be/O0PNXhipbf4
Lecture 6 – Polynomial Curve Fitting: https://bit.ly/2Po1hQT
Lecture 7 – Underfitting & Overfitting – https://bit.ly/2W5jkxQ
Lecture 7a – Underfitting & Overfitting Python Demo – https://bit.ly/2Zmn1ky
Lecture 8 – Introduction to Probability Theory – https://bit.ly/2Zu4MtD
Lecture 9 – Laws of Probability – https://bit.ly/2XGVx7H
Lecture 9a – Bayes’ Theorem – https://bit.ly/2DuIKO2
Lecture 10 – Application of Bayes’ Theorem: https://bit.ly/2GCeHpJ
Lecture 10a – Prior and Posterior Probability: https://bit.ly/2W8BKOh
Lecture 11 – What is Probability Density: https://bit.ly/2ZvSAIU
Lecture 12 – Bias/Variance Trade-off: https://bit.ly/2ZutnOT
For all lessons, visit my site: https://www.kindsonthegenius.com
Subscribe Kindson The Tech Pro Youtube: https://bit.ly/2PpJd8Q
Join my group ICS on Facebook: https://bit.ly/2UULiQj
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Learn about me: http://www.kindsonthegenius.com
Machine Learning 101 Course