Machine Learning

DANG KHOA

TRUONG

A I ENGINEER I NTERN

SELF SUMMARY

I am a fourth year student, i do not

have much experience in data

science, but with my passion i

believe i will become a data

scientist in the future. But now i

want to become a machine

learning engineer first

TECHNICAL SKILLS

Tools: Python, MySQL

Packages: Scikit-learn, NumPy,

Pandas, Matplotlib, Jupyter

Notebook

Machine Learning:

Linear/Logistic Regression,

Decision Tree, Random Forest,

SVM, Naive Bayes, K-means

Clustering

EXPERIENCE

- Descript: This dataset was scrapped from publicly available results posted every week from Domain.com.au. The dataset includes some features for me to predict house price in Melbourne.

- Language: Python

- Libraries, Packages: Pandas, Linear Regression, Lasso Regression, GridSearchCV, Scipy, Scikit-learn.

- GitHub: https://github.com/khoadangtruong/Melbourne-House- Price-Prediction.git

MELBOURNE HOUSE PRICE PREDICTION

- Descript: This is one of the most popular problem that people concerned about today. In this dataset, I use some Classifier algorithms of supervised learning to predict if a person with stats

(age, gender, BMI, hypertension, heart disease, average glucose, smoking status) will have a stroke?

- Language: Python.

- Libraries, Packages: Pandas, Matplotlib, Seaborn, Scikit-learn, LabelEncoder, DecisionTreeClassifier, RandomForestClassifier, GaussianNB, GridSearchCV.

- GitHub: https://github.com/khoadangtruong/Stroke-Prediction.git STROKE PREDICTION

CERTIFICATES

B1 English

HOW TO CONTACT ME

Address: D2 Street, Hiep Binh Phuoc

Ward, Thu Duc City, Ho Chi Minh City

Phone: 090*******

Email:

adl3hc@r.postjobfree.com

- Descript: This dataset is for practicing K-means Clustering algorithm to recommend some apps for users. My recommendation system is based on rating, number of users reviews, app size, number of installs and type (free or paid).

- Language: Python.

- Libraries, Packages: Pandas, Scikit-learn, Matplotlib, Seaborn, K- means Clustering.

- GitHub: https://github.com/khoadangtruong/Google-Play-Store- Simple-Recommendation-System.git

GOOGLE PLAY STORE APP RECOMMEND

- Descript: This Australia weather dataset contains about 10 years of daily weather observations from many locations across Australia. I used some stats to predict did it rain the next day?

- Language: Python

- Libraries, Packages: Pandas, Scikit-learn, Random forest, SVC. GridSearchCV, SelectKBest, MinMaxScaler.

- GitHub: https://github.com/khoadangtruong/Australia- Rain_Prediction.git

AUSTRALIA RAIN PREDICTION

SCHOOL BACKGROUND

Ho Chi Minh University of

Technology - HUTECH

2017 - now

Major: Software Technology

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