Follow us:
Nabla Squared

Python

How to change the autosave interval in Jupyter Notebooks

You can use this Jupyter extension By default, a Jupyter Notebook saves your work every 2 minutes, and if you want to change this time interval you can do so by using the %autosave n magic command; where n is the number of seconds, and if n=0 this means no Read more…

By Dorian, 3 months3 months ago

How to Implement Logistic Regression with PyTorch

Understand Logistic Regression and sharpen your PyTorch skills To understand better what we’re going to do next, you can read my previous article about logistic regression: So, what’s our plan for implementing Logistic Regression with PyTorch? Let’s first think of the underlying math that we want to use. There are Read more…

By Dorian, 3 months3 months ago

How to Implement Logistic Regression with TensorFlow

…something not as hard as you may think TL; DR If you are here for a quick solution that just works, then here it is in just 5 lines of code: The long way Now, if you’re still with me it means that you don’t want just to copy + Read more…

By Dorian, 3 months3 months ago

Are you tired of scrolling down through logs when training an ML model?

Try this Jupyter extension By default, when the output of a code cell in a Jupyter notebook gets too long, the content remains in its initial position and you have to manually scroll down to see the latest output. And this can be very annoying. For example, if you train Read more…

By Dorian, 3 months3 months ago

How to implement Logistic Regression with NumPy

Sharpen your NumPy skills while learning Logistic Regression What’s our plan for implementing Logistic Regression in NumPy? Let’s first think of the underlying math that we want to use. There are many ways to define a loss function and then find the optimal parameters for it, among them, here we Read more…

By Dorian, 3 months3 months ago

Posts navigation

1 2 … 5 Next
Search
Tags
Activation Functions (1) Artificial Intelligence (10) Beautiful Soup (2) Data (1) Data Analysis (1) Data Extraction (1) Data Manipulation (1) Data Science (6) Dataset (1) Deep Learning (2) Excel (1) Game Theory (2) Hypothesis Testing (4) Ideas (1) Jupyter Extension (2) Jupyter Notebook (2) Kaggle (1) Keras (1) Linear Regression (4) Logistic Regression (4) Machine Learning (17) Mathematics (9) Maximum Likelihood (1) Medium (1) Minimax Algorithm (4) Multilayer Perceptron (1) Neural Networks (5) NLP (1) NumPy (5) Pandas (2) Perceptron (1) Playing 2048 with Minimax (3) Probability (2) Programming (13) Python (23) PyTorch (2) ResNet (1) Scikit-Learn (2) Sentiment Analysis (1) SQL (1) Statistics (4) TensorFlow (2) Titanic Dataset (1) Web Scraping (3) Writing (2)
    Copyright © 2020 | Nabla Squared
    Hestia Theme | Powered by WordPress