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ML-project
Predicting-winning-president-in-US
using Logistic regression with 80 percent of accuracy on test setPredicting-winning-President-in-US-by-Logistic-Regression-
Profit_Prediction_Random_Forest
Projects-and-Assignments-of-Datascience
cifair-images-predcition-using-CNN
The Cifair is a dataset consisting of 60000 32*32 images in 10 classes, with 6000 images per class the dataset is divided into five train batches and one test batch, each having 10000 images. I trained three models on this datasetgithub-slideshow
A robot powered training repository 🤖learn
The root of a equation using pythonpandas_manipulation
a summary of usefull things in pandasCancer-Detection-Using-ML
we were time working on breast cancer detection using decision tree and random forest algorithm and finally reach 94 percent accuracy on the test setText-mining-Big-bang-theory-
From analyzing the dialogs of Big Bang Theory, I use Python to figure out which are the common words each actress said during the serialMNIST_Dataset
Running a model that can recognize digitsLoan-to-prepaid-customers
This project was undertaken for Bonyansystem, a prominent company in the telecommunications industry, known for its collaboration with Hamrah Aval, the largest telecom company and the primary Mobile Network Operator in Iran with over 49 million pre-paid customers.Love Open Source and this site? Check out how you can help us