Get started
Ecommerce & Digital Marketing
Cloud Computing & DevOps
Get started
Undergraduate Course
Mentor Giri Job Boosters DTGyan Refer & Earn Register Today
This project is about building a binary classification model, where you will be given below details (Features),

radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst

Based on the past breast cancer  data, build a machine learning binary classification model to predict if the person is Malignant (M) or Benign (B) Cancer. 
1 Test File Download
2 Train File Download
3 Sample Submission Download
Evaluation will be done based on below details,
1. Document the hypothesis
2. Loading the data
3. Understanding the data
4. Preprocessing with Exploratory Data Analysis (EDA)
5. Missing value and outlier treatment (if any)
6. Feature Engineering
7. Model Building - Build multiple models and select the best one.

S.No. Description Code File Solution File
Rank User Points Score
1 Mark 10 1000
2 Emma 8 900
3 Sophia 6 8000