Service Details

Important Facts
About this Services

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. Perform linear and logistic regressions in Python.

Important Facts
The Field of Data Science
The Problem
The Solution
The Skills
Statistics
Mathematics

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. Perform linear and logistic regressions in Python.

conveyor
Manufacturing
healthcare (1)
Data Security
car-repair
IT Management
bank
Manufacturing
eco-home
Data Security
logistics
IT Management
JavaScript
Python
Java
C/CPP
PHP
Swift
C# (C- Sharp)
Ruby
SQL
Important Facts
About this Services

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. Perform linear and logistic regressions in Python.

Important Facts
The Field of Data Science
The Problem
The Solution
The Skills
Statistics
Mathematics

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. Perform linear and logistic regressions in Python.

conveyor
Manufacturing
healthcare (1)
Data Security
car-repair
IT Management
bank
Manufacturing
eco-home
Data Security
logistics
IT Management
JavaScript
Python
Java
C/CPP
PHP
Swift
C# (C- Sharp)
Ruby
SQL

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