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Category: Machine Learning

Machine Learning related articles, discussions, applications, etc

21 Jan, 2023

Protected: Machine Learning with Python – 01M0

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4 Jan, 2023

Data Analytics Jan 2023

https://learn.swapnil.pwLearn and Practice Python Refer Python notes here for installation of software:   https://learn.swapnil.pwDAY 1 Notes:  Click here

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2 Jan, 2023

January 2023 Evening

DOWNLOAD LINKSPython:  https://learn.swapnil.pw/python/pythoninstallation  Pycharm:  https://learn.swapnil.pw/python/pythonides  R & RStudio:   https://swapnil.pw/uncategorized/installating-r-studio Domain Knowledge: https://www.mckinsey.com/featured-insights Refer handnotes on Android Phone: Story

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9 Dec, 2022

Quest Learning DS December 2022

Day 1:a=5#data type is integerprint(a)print(type(a))a='''hellohow are youI am fine'''#type is stringprint(a)print(type(a))a="""hello"""#type is stringprint(a)print(type(a))a=5.0print(a)print(type(a))a = True

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7 Nov, 2022

Digitalfirm Nov 2022

ACCESS ALL VIDEOS FROM HERE (YOUTUBE PLAYLIST) Day 1:Installation:Python:  https://learn.swapnil.pw/python/pythoninstallation Pycharm:  https://learn.swapnil.pw/python/pythonides R & RStudio:   https://swapnil.pw/uncategorized/installating-r-studiohttps://www.mckinsey.com/featured-insights print("terterterg feererg eryey

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19 Oct, 2022

Learn Data Science

https://youtu.be/mr15WQQoTvI19 OCTOBER 2022Day 1 Video Session print("hello")print(5+4)print('5+5')print("10+frgjdsijgdskmdklfmdfmv4",5+6," = ",11) # 4 parameters/arguments#Commentprice = 50 #variable called

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10 Sep, 2022


DATA ANALYSIS WITH R DAY 1: 10 SEP 2022#Compiler #interpreter print("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")print(5 + 3)print("5 + 3")hello = 5print(hello) print(4)

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9 Jul, 2022

How to add a Machine Learning Project to GitHub

Maintaining a GitHub data science portfolio is very essential for data science professionals and students

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3 Jun, 2022

Monte Carlo Simulation

Monte Carlo simulation is a computerized mathematical technique to generate random sample data based on

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26 May, 2022

Exponential Smoothing Forecasting – Examples

Example 1: Exponential Smoothing Forecasting – Example Let’s consider α=0.2 for the above-given data values so enter

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