Python implementations of basic machine learning algorithms
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Updated
Feb 17, 2024 - Python
Python implementations of basic machine learning algorithms
This repository gathers the essential Machine Learning algorithms coded from scratch using only numpy and sklearn
A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.
This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.
This repository consists of files required to deploy a **Machine Learning** Web App created with **Flask**
An Interactive Repository for Immersive Algorithmic Exploration and Learning.
A web app for beginners in Machine Learning and Data Science to fiddle with different parameters of various ML algorithms on the Framingham Heart Disease dataset.
In this repository I have explained different ML Algorithms with their code.
Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .
A Machine Learning approach to detect Malwares in the system.
Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables.Decis…
Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.
pytorch and basic Ml algorithms implementation both in R as well as Python with ready to use datasets
Lightweight Machine Learning Library
Here you'll find the required dependencies, structures, implementation for individual Algorithms. Have fun!
A Bidirectional LSTM model to classify whether a given tweet talks about a real disaster or not. This was my project in "CSC 522: Automated Learning and Data Analysis" course at NC State University.
machine-learning-algorithms, neural network ,assignments, computer vision , image classification,
Data Science & Big Data Tools
Python implementation of ML algorithms
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