This portfolio consists of several projects illustrating the work I have done in order to further develop my data science skills.
- Project for the kaggle competitions
- Participation of the kaggle competition Titanic: Machine Learning from Disaster
- We were graded on leaderboard scores and I scored 7th of the class with position 1266th of the leaderboard
- I used a weighted average of Logistic regression, Random forest & SVM.
- The focus of this project was mostly on feature engineering
- Project for the kaggle competitions
- Participation of the kaggle competition House Prices: Advanced Regression Techniques
- We were graded on leaderboard scores and I scored 11th of the class with position 526th of the leaderboard
- I used a weighted average of XGBoost, Lasso, ElasticNet, and Gradient Boosting Regressor
- The focus of this project was mostly on feature engineering
- Project for the course Deep Learning
- I used CNN
- using flow from directory
- The focus of this project was mostly on Layers.
- Project for the image Classification
- I used CNN
- using flow from directory
- The focus of this project was mostly on .
- Project for the course Deep Learning
- I used CNN
- Data Scource: Keras.Datasets
- The focus of this project was mostly on Layers.
- Project for the course Machine Learning
- I used a weighted average of Linear regression.
- The focus of this project was mostly on feature engineering
- Project for the course Machine Learning
- My First Classification Project
- I used Logistic regression, Random forest & SVM.