airfoil

algerian-forest-classification-and-regression

bonefracture_yolov8

books-and-sources

cnnclassifiertemplate

data-science-ml-full-stack-2022

Everything you need to know for data science.

datamanipulation

deep-learning

deep-learning-with-landcover-dataset

This project is about deep learning applications on land cover and usage dataset. The model we have applied are transfer learning with fine-tuning of VGG19 models, the convolutional neural network we have built and multi layer perceptron models. The results are evaluated based on accuracy, precision, recall, f1-score and confusion matrix

deppcnnclassifier

eda

eda-and-feature-engineering

eda-and-feature-engineering-

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

flight-fare-model

Fligh Fare Prediction Webb App Project With Deployment

fullstackdatascience

homeworks

house-price-prediction

This is end to end machine learning model deployment example with docker and CI/CD

image-processing

introtopython

Files associated with our book Intro to Python for Computer Science and Data Science

machine-learning-project

nesibegul

Config files for my GitHub profile.

nltk-with-imdb-data

Bag of Words (BOW) and TF_IDF preprocessing methods are applied for prediction of sentiment analysis in IMDB dataset. Only Randomforest Classification is applied. BOW and TF_IDF have same accuracy. however max_features in TF_IDF made increase in accuracy of the model from 85% to 86%

ohana-api

The open source API directory of community social services.

perceptron_implementation

Perceptron implementation with fundamental python libraries

python

reviewscrapper

task

the-grand-complete-data-science-materials

visualization