Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Syntax issue on string 14 #1

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Syntax issue on string 14 #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,20 +11,20 @@ The repository is a learning exercise to:
* Evaluate and interpret my results and justify my interpretation based on observed data set
* Create notebooks that serve as computational records and document my thought process.

The analysis is divided into four sections, saved in juypter notebooks in this repository
1. Identifying the problem and Data Sources
The analysis is divided into four sections, saved in jupyter notebooks in this repository
1. Identifying the problem and Data Sources
2. Exploratory Data Analysis
3. Pre-Processing the Data
4. Build model to predict whether breast cell tissue is malignant or Benign
4. Build model to predict whether breast cell tissue is malignant or benign

### [Notebook 1](https://github.com/ShiroJean/Breast-cancer-risk-prediction/blob/master/NB1_IdentifyProblem%2BDataClean.ipynb): Identifying the problem and Getting data.
**Notebook goal:Identify the types of information contained in our data set**
**Notebook goal: Identify the types of information contained in our data set**
In this notebook I used Python modules to import external data sets for the purpose of getting to know/familiarize myself with the data to get a good grasp of the data and think about how to handle the data in different ways. 
### [Notebook 2](https://github.com/ShiroJean/Breast-cancer-risk-prediction/blob/master/NB2_ExploratoryDataAnalysis.ipynb) Exploratory Data Analysis
**Notebook goal:  Explore the variables to assess how they relate to the response variable**
**Notebook goal: Explore the variables to assess how they relate to the response variable**
In this notebook, I am getting familiar with the data using data exploration and visualization techniques using python libraries (Pandas, matplotlib, seaborn. Familiarity with the data is important which will provide useful knowledge for data pre-processing)
### [Notebook 3](https://github.com/ShiroJean/Breast-cancer-risk-prediction/blob/master/NB3_DataPreprocesing.ipynb) Pre-Processing the data
**Notebook goal:Find the most predictive features of the data and filter it so it will enhance the predictive power of the analytics model.**
**Notebook goal: Find the most predictive features of the data and filter it so it will enhance the predictive power of the analytics model.**
In this notebook I use feature selection to reduce high-dimension data, feature extraction and transformation for dimensionality reduction. This is essential in preparing the data before predictive models are developed.
### [Notebook 4](https://github.com/ShiroJean/Breast-cancer-risk-prediction/blob/master/NB4_PredictiveModelUsingSVM.ipynb) Predictive model using Support Vector Machine (svm)
**Notebook goal: Construct predictive models to predict the diagnosis of a breast tumor.**
Expand Down