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analysis-of-us-citizens

Applying Exploratory Data Analysis (EDA) and preparing the data to implement the Machine Learning Algorithms; Analyzing the characteristics of individuals according to income groups. Preparing data to create a model that will predict the income levels of people according to their characteristics (So the "salary" feature is the target feature)

churn_prediction_for_aws

classification_with_ann_churn_prediction

We have a dataset in which there are details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a customer

cluestering_analysis_customers_segmentation_project

Customer segmentation is to group the customers into distinct clusters based on their characteristics and behaviors.K-Means Clustering, which partitions the data into k clusters based on the distance to the cluster centroids. Then we used hierarchical clustering. Each cluster can be assigned a label that describes its main features.

covid19-risky-group-with-python

data-analysis-with-python-2

This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

e-commerce-data-analysis-with-sql

An e-commerce organization demands some analysis of sales and shipping processes. Thus, the organization hopes to be able to predict more easily the opportunities and threats for the future. According to this scenario analyzes were performed.

employee_churn_analysis_project

In this project I have HR data of a company. A study is requested from me to predict which employee will churn by using this data.

finding-fibonacci-numbers-with-python

finding-leap-years-with-python

finding-prime-numbers-with-python

fizzbuzzlist

fraud_detection_for_aws

fraud_detection_project

image_classification_with_cnn

is-it-a-prime-number-with-python

letters-count

nlp_sentiment_analysis_project

This analysis will focus on using Natural Language techniques to find broad trends in the written thoughts of the customers. The goal in this project is to predict whether customers recommend the product they purchased using the information in their review text.

pandas-matplotlib-visualization

Basic examples for working with Matplotlib-Pandas-Visualization on Pandas' PoliceKillingUS dataset.

pandas-numpy-working

password-reminder-with-python

proje

rng94

Config files for my GitHub profile.

seaborn-visualization

Basic examples for working with Seaborn-Visualization on Pandas' PoliceKillingUS dataset.

soldier_race_project

The ANSUR II working databases contain 93 anthropometric measurements which were directly measured, and 15 demographic/administrative variables explained. The ANSUR II Male working database contains a total sample of 4,082 subjects. The ANSUR II Female working database contains a total sample of 1,986 subjects.

some-studying-with-sql

Application of basic SQL codes with some tables.

statistic-with-pandas-numpy

streamlit

streamlit_cloud

string-formatting-with-python