vinaydeshmukh94 Goto Github PK

all-in-one-store

cancer-diagnosis

clustering-k-means

This is code for k-means clustering of the well known iris dataset. The packages used are numpy, pandas, sklearn, matplotlib. The dataset used is also provided in csv format. The classification is done twice once based on sepal length and width and other is based on petal length and width.

decisiontree-classification

Decision Tree classifier For Iris Dataset. This code is used to demonstrate use of decision tree classification, classification is done on well known iris dataset. The dataset file is also provided with the code in csv format.

deepfake-detection

deepfake-docs

Documents of deepfake detections

facebook_recommendation

house-price-prediction

Given the parameters such as - Year of sale of the house, The age of the house at the time of sale, Distance from city center, Number of stores in the locality, The latitude, The longitude this project is to predict the price of the house.

lbsn

Project based on location based social networking. It is a recommendation system which uses check-in records on social media sites and gives the recommendation to the users based on their preference

linear-rregression

Linear regression is used to predict the marks based on the time spent on studying, this is just to demonstrate the use of linear regression. Data used is also provided in csv format.

ml-assignments

public_repository

python_apriori

quora-question-pair