Basic Machine Learning implementation with python
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Updated
Jul 1, 2020 - Jupyter Notebook
Basic Machine Learning implementation with python
Implemantation of Gaussian Naive Bayes Calssifier in Python from scratch. (No advanced library)
Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.
This repository contains the Python code for implementing facial recognition in Jupyter Notebook using both Machine Learning classification algorithms and neural networks. It also contains a CSV of facial data for classifying faces using the Python code. Feel free to copy the files and start recognizing faces!
A python program that implements the gaussian naive bayes algorithm
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
CSE 575 Statistical Machine Learning
Machine Learning / (Gaussian) Naive Bayes
A comprehensive comparison of decision tree and random forest for cancer classification.
A deep dive into Yelp customers' reviews and ratings to perform sentiment analysis and classify restaurants
Data analysis using supervised learning techniques. The primary goal is to find potential donors for charity based on the features like age, income, etc.
Assignments of the ML Course at IIT Gandhinagar
A Python program to classify statistical data about the handwritten numbers.
This is a Breast Cancer Detection project with unsupervised learning algorithmic approaches alongside Naive Bayes Classifier Algorithm, Logistic Regression and GaussianNB.
A simple program using gaussianNB Classification technique to predict data
Machine learning classification algorithm on predicting whether an individual earns >50K or not given their demographic variations.
These codes are written as a part of ECE219 Large Scale Data Mining course at UCLA.
This project presents a comparative study of Quantum Naive Bayes and Classical Gaussian Naive Bayes algorithms applied to the NASA Nearest Earth Object Dataset.
This repository contains several machine learning projects done in Jupyter Notebooks
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