/Kaggle_Titanic_Survival_Prediction

Create and Train Logistic Regression Model which predicts whether a given passenger survived or not

Primary LanguageJupyter Notebook

Titanic_Survival_Prediction

Create and Train Logistic Regression Model which predicts whether a given passenger survived or not ( Got 76% accuracy on kaggle)

Objective :

  1. Clean and pre-process data.

  2. Perform feature extraction or Exploratory Data Analysis(EDA)

  3. Build and employ a logistic regression classifier using scikit-learn.

  4. Evaluate model accuracy using metrics

Structure :

Task 1. Collecting Data (Importing Modules and Loading Dataset)

Task 2. CLEANING OF RAW DATA

Task 3. EDA/FE (exploratory data analysis)/(feature extraction)

Task 4. DATA SPLIT TRAIN/TEST

Task 5. MODEL SELECTION AND MODEL TRAINING ON TRAINING DATASET

Task 6. MODEL TEST ON TESING DATASET

Task 7. MODEL EVALUTION

Task 8. FINAL MODEL AND RESULT