Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/arv-anshul/campusx-project-notebooks

Capstone project by Campusx in DSMP course.
https://github.com/arv-anshul/campusx-project-notebooks

campusx campusx-dsmp data-analysis data-science eda jupyter-notebook machine-learning ml-project nlp project python3 recommender-system regression streamlit

Last synced: 10 days ago
JSON representation

Capstone project by Campusx in DSMP course.

Host: GitHub
URL: https://github.com/arv-anshul/campusx-project-notebooks
Owner: arv-anshul
Created: 2023-08-07T08:08:16.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-10-23T03:44:48.000Z (about 1 year ago)
Last Synced: 2023-10-23T04:28:35.410Z (about 1 year ago)
Topics: campusx, campusx-dsmp, data-analysis, data-science, eda, jupyter-notebook, machine-learning, ml-project, nlp, project, python3, recommender-system, regression, streamlit
Language: Jupyter Notebook
Homepage:
Size: 25.1 MB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # Real Estate Analysis - Notebooks

This repo contains only Jupyter Notebooks in which I did analysis related to real estate of Gurgaon mainly. I used data from [99acres.com](https://99acres.com/) which I scrapped using my [Streamlit](https://streamlit.io/) web-app. You can see that app's codes in my GitHub repo [here](https://github.com/arv-anshul/99acres.com).

## 💭 Details on Repo Structure and more...

1. You can see that I did versioning of my notebooks like [notebooks_v1](https://github.com/arv-anshul/campusx-project-notebooks/tree/main/notebooks_v1), [notebooks_v2](https://github.com/arv-anshul/campusx-project-notebooks/tree/main/notebooks_v2) and so on. This means that in every new version of notebooks I upgraded the data which is more suitable for Data Analysis.

2. I also did versioning on Jupyter Notebooks individually which shows that you have to follow that version to get insights respectively.  

   I also follows a naming convention for my notebooks which helps me to identify my notebooks easily. I follow below naming convention:

|                             Name | Description                                              | Exporting |

| -------------------------------: | :------------------------------------------------------- | --------- |

|            **`_OVERVIEW.ipynb`** | Perform a very comprehensive overview of the dataset.    | **False** |

|  **`_PREPROCESSING.ipynb`** | Perform Preprocessing                                    | **True**  |

|            **`_EDA.ipynb`** | Perform Exploratory Data Analysis                        | **False** |

|       **`_FEAT_ENG.ipynb`** | Perform Feature Engineering                              | **True**  |

| **`_FEAT_SELECTION.ipynb`** | Calculate Feature Importance & Perform Feature Selection | **False** |

## 😎 Acknowledgement

- 🧑‍🏫 [**@campusx**](https://learnwith.campusx.in): I follow CampusX's DSMP course's Capstone project to do this analysis. And now I am getting more and many different types of insights related to this data and all thanks to Nitish Sir to make me aware of this kind of project.

- 🌐 [**99acres.com**](https://99acres.com): I scrapped data from 99acres.com and I will only use this data to enhance my knowledge in Data Analysis.

- 💻 [**@arv-anshul/99acres-scrape**](https://github.com/arv-anshul/99acres-scrape): This Streamlit Web-App is being used to scrape data from 99acres.com website.

- 🤝 [**@arv-anshul/campusx-real-estate**](https://github.com/arv-anshul/campusx-real-estate): The analysis performed in this repo is being used in this Real Estate project made by [@me](https://github.com/arv-anshul) with 🧠 & ❤️.