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Stars1
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LanguageJupyter Notebook
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Created almost 3 years ago
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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 serialInventory-Control
In this project, I and my friends do a little inventory analysis in the Sapco company ( Sapco, founded in 1993, is a subsidiary & the main supplier of parts to Iran Khodro Co. (IKCO), the largest auto manufacturer in the Middle East). It consists of an ABC analysis of the It also predicts the demand for these parts using regression and moving average methods, and also paints the BPMNs of the processes at Sapco.Loan-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
