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machine_learning's Introduction

Machine_learning

Assignment31

Some examples from w3schools.com on machine learning & data science topics

Pyplot with line

Screenshot (288)

Plotting Without Line

Screenshot (289)

Multiple Points

Screenshot (290)

Default X-Points

Screenshot (291)

Matplotlib Markers

Screenshot (292)

Matplotlib Markers with size and color

Screenshot (293)

Multiple Lines

Screenshot (294)

Matplotlib Labels and Title and Adding Grid Lines

Screenshot (295)

Matplotlib Subplots

Screenshot (296)

Matplotlib Scatter

Screenshot (297)

Matplotlib Bars

Screenshot (298)

Matplotlib Histograms

Screenshot (299)

Matplotlib Pie Charts

Screenshot (300)

Numpy(mode, median, std)

Screenshot (302)

Numpy.uinform

Screenshot (301)

Numpy.normal

Screenshot (303)

Scatter Plot

Screenshot (304)

Multiple Regression

Screenshot (305)

Assignment32

scatter for melon and ballon 3D

Screenshot (307)

scatter for apple and banana

Screenshot (308)

Bar chart for apple and banana

Screenshot (312)

Box diagram for apple and banana

Screenshot (311)

histogram for apple and banana

Screenshot (313)

L\W distribtion

Screenshot (314)

Area ditribtion

Screenshot (315)

Perimeter

Screenshot (316)

Crertificate

https://www.sololearn.com/certificates/course/en/23586582/1161/landscape/png

Assingment-33

what exactly happened on April ?!

Our store company could not do a very important job of attracting customers well and gradually in the first, second and third months had a relative and low reduction in new customer rates, but in April suffered a big difference and decline, and also He could not keep his former customers satisfied and he lost them too

Monthly Revenue

Screenshot (343)

Monthly Growth Rate

Screenshot (344)

Monthly Active Customers

Screenshot (345)

Monthly Total Order

Screenshot (346)

Monthly Order Avg

Screenshot (347)

New Customers VS Existing Customers

Screenshot (348)

Bar plt for New Customers Ratio

Screenshot (349)

Scatter for New Customers Ratio

Screenshot (350)

Source of reports of this project

https://towardsdatascience.com/data-driven-growth-with-python-part-1-know-your-metrics-812781e66a5b

Assighnment 34 :

1. KNN for Gender Verification :

  • plt Hist for Heights

Screenshot (364)

  • plt Hist for Weights

Screenshot (365)

  • plt scatter for Height & Weights

Screenshot (366)

2. Analyze Covid19 data :

  • 8 mostest Country Active case in world :
  • Screenshot (369)
  • Compare New cases VS New death cases on July 21 in Iran:
  • Screenshot (368)

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