Implementing machine learning algorithms from scratch.
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Updated
Sep 11, 2021 - Python
Implementing machine learning algorithms from scratch.
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Tesla Car Range, Base Price and Precise Price Prediction - Machine Learning
Covid-19 Mu Variant [B.1.621] Prediction and Classification Artificial Intelligence/Machine Learning Software
Going through the book "Python Machine Learning" by Sabastian Raschka and Vahid Mirjalili
Generating code with Ludwig AI/ML (PyTorch, Tensorflow)
Machine Learning Algorithms implemented in Python
Two neural networks built using NumPy
Eroji is a simple Python script that uses the DeepFace library to detect faces in an image and recognize the emotions, gender and race of the detected faces.
This repo is used to store projects/files from a machine learning course I am taking on Udemy.com
Cross-platform GUI tool to create and manage (machine learning) configurations and run them automatically and remotely.
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
Machine learning models in NumPy
A machine learning library created in python by Okerew
Dry Natural Gas Production Prediction of the United States
This module extends the kernel SHAP method (as introduced by Lundberg and Lee (2017)) which is local in nature, to a method that computes global SHAP values.
Reprogramming Coursera Octave project on linear regression in Python (see link to course page)
Another repository for trying out machine learning algorithms for classification
Reprogramming Coursera Octave project on logistic regression in Python (see link to course page)
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