data analysis projects for all levels

[Habib01]

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Applying simple machine learning algorithms is an essential part of a data analyst's life. You can gain further experience by applying similar methods to a new dataset: Banking Marketing .

Learn more about classification, regression, fine-tuning, and preprocessing by taking a short course on Supervised Learning with scikit-learn .

Data analysis projects for seniors
Student final year projects are usually research-based and take at least 2-3 china lists months to complete. You will work on a specific topic and try to improve the results using various statistical and probabilistic techniques.

Note : There are more and more machine learning projects for data analysis final year projects.

13. Reduce traffic deaths in the US
In the project Reducing Traffic Fatalities in the US, you will learn a sound strategy to reduce traffic-related deaths in the US. You will import, clean, manipulate, and visualize the data. In addition, you will perform feature engineering and apply various machine learning models (multivariate linear regression, KMeans clustering) to obtain impressive results and communicate them.

DataCamp Project: Reducing Traffic Fatalities in the U.S.

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If you want to learn more about unsupervised learning, check out the Cluster Analysis in Python course .

14. Classify song genres from audio data
In the project Classify song genres from audio , you will apply machine learning algorithms to classify songs into genres.

You will be able to:

Prepare the dataset
Split them into training and test sets
Normalize the data
Apply PCA to scaled data
Training decision tree and logistic regression, comparing performance
Balancing data to improve performance
Understanding model bias
Apply cross-validation to evaluate our models
DataCamp Project: Classifying song genres from audio data

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Learn more about logistic regression and SVM by taking the course Linear Classifiers in Python .

15. Analysis of world population
The World Population Analysis project is the best example of performing in-depth exploratory analysis. You will explore multiple columns, visualize the least and most populated countries, and explore population density and growth rate. In addition, you will display the country-wise rank distribution and correlation map.

World Population Analysis Project

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