Dive Into Learning From Data: MNIST with Logistic Regression

Master Classification with Python: Learn logistic regression, PCA, and feature engineering to achieve 98% accuracy!
Udemy
platform
English
language
Other
category
Nick Ovchinnikov
instructor
Dive Into Learning From Data: MNIST with Logistic Regression
680
students
2 hours
content
Feb 2025
last update
FREE
regular price

What you will learn

Understand the Fundamentals of Classification: how to work with the MNIST dataset, preprocess image data, and visualize handwritten digits

Build and Train a Logistic Regression Classifier from scratch, understand the mathematics behind it (e.g., sigmoid function)

Evaluate Model Performance: accuracy, precision, recall, F1 score, and confusion matrices

Apply Advanced Techniques for Better Performance: Principal Component Analysis (PCA) for dimensionality reduction and Polynomial Feature Expansion

Screenshots

Dive Into Learning From Data: MNIST with Logistic Regression - Screenshot_01Dive Into Learning From Data: MNIST with Logistic Regression - Screenshot_02Dive Into Learning From Data: MNIST with Logistic Regression - Screenshot_03Dive Into Learning From Data: MNIST with Logistic Regression - Screenshot_04
6459135
udemy ID
11/02/2025
course created date
16/03/2025
course indexed date
Bot
course submited by