01
Dataset preparation
AI & Machine Learning
Scikit-learn.
Exploring machine learning workflows, preprocessing, model training and evaluation.
Sk
01 / OVERVIEW
Understanding Scikit-learn
A brief introduction to the technology and its role in development.
01
What is Scikit-learn?
Scikit-learn is a Python library for traditional machine learning and data preprocessing.
02 / LEARNING
What I've learned
The concepts and fundamentals I have explored while learning Scikit-learn.
02
Feature preprocessing
03
Training and testing data
04
Machine learning model workflows
05
Model evaluation fundamentals
06
Using Python ML libraries
03 / KNOWLEDGE
Topics I've explored
An overview of the major areas covered in my learning journey.
TOPIC 01
Data Preprocessing
Exploring data preprocessing as part of my Scikit-learn learning journey.
TOPIC 02
Feature Engineering
Exploring feature engineering as part of my Scikit-learn learning journey.
TOPIC 03
Model Training
Exploring model training as part of my Scikit-learn learning journey.
TOPIC 04
Classification
Exploring classification as part of my Scikit-learn learning journey.
TOPIC 05
Regression
Exploring regression as part of my Scikit-learn learning journey.
TOPIC 06
Model Evaluation
Exploring model evaluation as part of my Scikit-learn learning journey.
04 / PRACTICAL EXPERIENCE
Projects using Scikit-learn.
A collection of projects where I've explored and applied Scikit-learn.
