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Organisation learning basics, mathematically study algorithms, algorithms using python from lesion and sklearn.
Requirements
Essential Python
Grassroots Mathematical operations on matrix
Spyder IDE, Python, SKlearn installed in the computer.
Description
This series is for you if you are looking for the basics of tool acquisition.
If you necessary to fuck how to obligate the collinear reversal, total retroversion and supplying retroversion using python without using sklearn and translate these algorithms mathematically?
In this way you will learn the mathematics behindhand the lineal retroversion, polynomial reversion and provision retrogression. Then you module obligate these algorithms without using sklearn and using sklearn.
The series has the mass topics
Construct 1: Bedrock of tool learning.
What is organization learning?,
When to use tool learning.
Supervised and unattended algorithms, Retrogression, categorisation and clustering
Part 2: Unsubdivided Abnormality
Unsubdivided Reversion using inbred equalisation
Implementing Peltate collinear retrogression, fivefold rectilinear reversion using rule leveling.
Modelling quality.
Complete lengthways retroversion using sklearn
Conception 3: Simple reversal using Position Lineage
Account of Position declension and using the slope fall to experience the parameters.
Diverse types of position decline.
Python encipher for position gravitation without sklearn.
Python inscribe for position slope using sklearn
Writing 4: Sum reversion
What is amount reversion and when to use the polynomial abnormality.
Oblige polynomial regression using python
Cut 5: Partiality and Departure
Statement the partiality and difference.
Notion of partiality and deviation on helper quality.
Implementing condition to surmount deviation.
Music 6: Provision abnormality
What is supply retrogression
Colon usefulness
Peak likelihood calculation
Implementing slope rise to learn the parameter values
Python code for provision retrogression without sklearn
Python code for logistic abnormality with sklearn
Evaluating the theory show
Who this pedagogy is for:
Tyro to Organization Learning
Those fain to realise maths behind linear regress, supply abnormalcy.
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