- This Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of Jupyter notebooks,.
- i will be working on titanic sruvival prediction using all the diffrent model /tools
Note: Data used in the projects (accessed under data directory) is for demonstration purposes only.
Instructions for Running Python Notebooks Locally -Install dependencies using requirements.txt. -Run notebooks as usual by using a jupyter notebook server, Vscode etc,
- Note: i used Google colab to excute the code.
- Supervised and unsupervised learning : Testing out several different learning algorithms to build a model that accurately predicts whether a passenger will survive or not the titanc crach based on prevuios data .
- Tools: scikit-learn, Pandas, Seaborn, Matplotlib, RL , LL , DT, RF,....
- Using diffrent technique to study the relationship betwenn all the variable , Exploratory Analysis of the passengers onboard RMS Titanic using Pandas,matplot lib and Seaborn visualisations , also scaling and creating new feauters.
- Tools: Pandas, Seaborn and Matplotlib
If this project inspired you, gave you ideas for your own portfolio or helped you, please consider giving me a star ❤️.