Hey guys!
Welcome to our channel.
As you are reading this message it means your are interested in learning python and Machine learning.
I will be posting content in a very detailed manner.( Stream file )
Most of the content will be available here. Few content will be from YouTube and links will be provided
👉 NO PREREQUISITES
👉 Machine Learning course has 150+hours of industry focused and extremely simplified content with no prerequisites covering Python, Maths, Data Analysis, Machine Learning and Deep Learning.
💫 If you are familiar with python, you can skip #module - 1 - 9
If you are interested in learning.Just join in our channel and share
Welcome to our channel.
As you are reading this message it means your are interested in learning python and Machine learning.
I will be posting content in a very detailed manner.( Stream file )
Most of the content will be available here. Few content will be from YouTube and links will be provided
👉 NO PREREQUISITES
👉 Machine Learning course has 150+hours of industry focused and extremely simplified content with no prerequisites covering Python, Maths, Data Analysis, Machine Learning and Deep Learning.
💫 If you are familiar with python, you can skip #module - 1 - 9
If you are interested in learning.Just join in our channel and share
👍7❤4
#Module 1 : Fundamental of programming
👉 1. How to utilise course
👉 2. Python for Data Science Introduction
👉 3. Python for Data Science: Functions
👉 4. Python for Data Science : Numpy
👉 5. Python for Data Science: Matploitb
👉 6. Python for Data Science: Pandas
👉 7. Python for Data Science: Computational Complexity
👉 8. SQL
👉 1. How to utilise course
👉 2. Python for Data Science Introduction
👉 3. Python for Data Science: Functions
👉 4. Python for Data Science : Numpy
👉 5. Python for Data Science: Matploitb
👉 6. Python for Data Science: Pandas
👉 7. Python for Data Science: Computational Complexity
👉 8. SQL
❤6👏1
#Module 2 : Python for Data Science Introduction
Section 2 is divided into sub sections
👉 2.1 Python, Anaconda and relevant packages installations
👉 2.2 Why learn Python?
👉 2.3 Keywords and identifiers
👉 2.4 comments, indentation and statements
👉 2.5 Variables and data types in Python
👉 2.6 Standard Input and Output
👉 2.7 Operators
👉 2.8 Control flow: if else
👉 2.9 Control flow: while loop
👉 2.10 Control flow: for loop
👉 2.11 Control flow: break and continue
Section 2 is divided into sub sections
👉 2.1 Python, Anaconda and relevant packages installations
👉 2.2 Why learn Python?
👉 2.3 Keywords and identifiers
👉 2.4 comments, indentation and statements
👉 2.5 Variables and data types in Python
👉 2.6 Standard Input and Output
👉 2.7 Operators
👉 2.8 Control flow: if else
👉 2.9 Control flow: while loop
👉 2.10 Control flow: for loop
👉 2.11 Control flow: break and continue
👍2
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2.1 Python, Anaconda and relevant packages installations
Learn Python, Machine learning, AI
2.1 Python, Anaconda and relevant packages installations
☝️
Go with python 3.7 version - python ( link ) and if you face any issue better to install 3.6 version and it works absolutely fine...
Note: - Please don't go with 3.8 , because it is unstable with tensorflow ( link ) .
Click on the links provided.
Go with python 3.7 version - python ( link ) and if you face any issue better to install 3.6 version and it works absolutely fine...
Note: - Please don't go with 3.8 , because it is unstable with tensorflow ( link ) .
Click on the links provided.
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2.2 Why learn Python?
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2.3 Keywords and identifiers
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2.4 comments, indentation and statements
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2.5 Variables and data types in Python