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This repository showcases data science and machine learning projects completed during my 6-month internship. It includes end-to-end work on real-world datasets covering preprocessing, analysis, modeling (regression, SVM, KNN, trees), and optimization highlighting my growth and practical skills in Python.

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AcunMedya Akademiq Internship Program - My Work

In this repo, I share the projects I worked on, the features I developed and the experiences I gained during AcunMedia's 6-month Akademiq Internship program.

Week Workdone Dataset Description
1 Data Analysis The Palmer Penguins The dataset was analyzed and missing values were found. And filled appropriately.
2 Data Analysis Heart Disease UCI Outliers were found and visualized using barplot.
3 Data Preprocessing Heart Disease UCI Standardization and encoding.
4 Data Visualization Tips Data were visualized with different types of graphs.
5 Feauture Engineering diabetes_dataset Data processed, features added and training done.
6 Lineer Regression uci-ml-repo Lineer regression was used to estimate the fuel consumption of the vehicle.
7 Linear+Lasso+Ridge Hitters Linear, ridge and lasso regression results were evaluated. Ridge and lasso were re-evaluated using optimization techniques.
8 Polynomial Regression insurance Estimation was done with polynomial regression and compared with ridge and lasso.
9 Logistic Regression Admission Predict Classification was done with logistic regression, and the model was developed using hyperparameter optimizations (RandomizeSearch, GridSearch).
10 Decision Trees Istanbul House Dataset Data preprocessing was done, feature engineering was applied. 3 different models were tested using DecistionTreeRegressor, GridSearch and RandomizedSearch.

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This repository showcases data science and machine learning projects completed during my 6-month internship. It includes end-to-end work on real-world datasets covering preprocessing, analysis, modeling (regression, SVM, KNN, trees), and optimization highlighting my growth and practical skills in Python.

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