This repository was created to submit the projects which was given by 'CODESOFT' for a Data Science internship.
In this project I have build the predictive machine learning model 📊 which predicts the survival of passengers from Titanic disaster. 🚢
I have try to answer the following questions after analyzing this dataset.
- Who were the passengers on the Titanic? (age, gender, class.. etc)
- What deck were the passengers on and how does that relate to their class?
- Where did the passengers come from?
- Who was alone and who was with family?
- What factors helped someone survive the sinking?
- How accurately we can predict the survival of the passenger?
Every dataset has a story and this set is pulled from IMDb.com of all the Indian movies on the platform.
We will going to do some exploratory data analysis to answer the below questions.
- Year with best rating
- Does length of movie have any impact with the rating?
- Top 10 movies according to rating per year and overall.
- Which director directed the most movies
- Which actor starred in the most movies
After that, we'll build the predictive machine learning model using Stochastic Gradient Descent (SGD) Regressor which is going to predicts the rating of a movie based on the given parameters.