DataMining

Instructor : E. Nazerfard

Semester: Spring 2023

This repository consists of Data mining projects at Amirkabir University of technology.

Project 1: Data Analysis

A mini project which helps to undrestand concepts such as:

1. Garbage in, Garbage out

2. One hot encoding and Label encoding

3. Data augmentation

4. Down sampling and Upsampling

5. Imbalanced dataset techniques such as smotetomek and smoteenn

6. Noramlization

7. Principle component analysis

8. 3D Data visualization and box plot

Libraries: Scikit-learn, Pandas, Imbalanced-learn, Matplotlib

Dataset: Palmer penguin

Project 2: Machine Learning & Deep Learning

A mini project which helps to undrestand concepts such as:

1. Q-box

2. Linear Regression Vs Polynomial Regression

3. Classification using : Decision tree, Random forest, KNN, Linear & Non-Linear SVM

4. Mutli-class classification using Deep learning

5. Confusion matrix

Libraries: Scikit-learn, Tensorflow, Pandas, Numpy , Matplotlib

Dataset: House price

Project 3: Kmeans algorithm

1. Create Similarity matrix using Cosine Similarity and euclidean distance

2. Implementing Kmeans algorithm.

   

Results :

Libraries: Scikit-learn,matplotlib, numpy

Dataset: Kmeans dataset

Final Project: Persian Spotify

A project which wants to make some prediction of persian music dataset.

1. Consists of EDA and PCA visualization

2. Implementing Regression for popularity prediction

3. Implementing Classification for traditional music prediction

Libraries: Scikit-learn, matplotlib, numpy

Dataset: Persian Spotify