machine_learning_refined
python
Our great sponsors
machine_learning_refined | python | |
---|---|---|
3 | 1 | |
1,585 | 5 | |
- | - | |
6.6 | 10.0 | |
10 months ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
machine_learning_refined
- Machine Learning Refined
-
Hands on ML + Introduction to Statistical Learning?
Perceptron from Scratch
-
Taking CS 349 (Machine Learning) in Fall
here's the repo that CS375/475 uses: https://github.com/jermwatt/machine_learning_refined.
python
-
How to get phone number information using Python ?
Full Code : Click Here
What are some alternatives?
ivy - The Unified AI Framework
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
PyMera - an application that track your face
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Academy-Course-PYT26065 - Resources for Open Risk Academy Course: "Processing Agency Mortgage Data with Awk, Pandas and Django - Part 1: Static Data"
gurobi-machinelearning - Formulate trained predictors in Gurobi models
Diabetes-Prediction-Using-SVM - In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.
Machine-Learning-with-Python - Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!