Kaggle Series - Titanic Machine Learning from disaster
The sinking of the Titanic was a great tragedy. In this video, we will explore how we can use Data Science and Machine Learning to learn patterns about those who survived and those who didn’t. We’ll also see how we can build models that will predict the fate of a person based on the input data.
TOC:
Introduction 00:00
Background to the project 00:17
Challenge: 00:45
Machine Learning Background 01:32
Machine Learning Pipeline 5:24
EDA 5:24
Data Cleaning 11:40
Feature Engineering 12:31
Model Building 17:04
Summary 20:09
References:
1. Manav Seghal -
2. Anisotropic -
3. Ashwin Swain -
4. Yassine Ghousam -
5. Masum Rumi -
6 views
5
2
1 year ago 00:21:20 1
163 - An introduction to time series forecasting - Part 3 Using ARIMA in python
1 year ago 00:06:39 1
What’s new in Google accessibility | Episode 2 | American Sign Language
2 years ago 01:59:38 1
Computer Vision and Perception for Self-Driving Cars (Deep Learning Course)
2 years ago 02:26:44 20
LIVE CODING: Flight Data Exploration with Pandas & Python
2 years ago 02:26:20 11
Finding Chess Cheaters with Python! - Data Science Uncut Livestream
2 years ago 00:23:09 1
Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption
2 years ago 00:36:30 3
Multi-Topic (Multi-Class) Text Classification Part E: A Deep Learning Model with Embedding Layer
3 years ago 00:49:20 1
Прогнозирование продаж с помощью машинного обучения.
3 years ago 00:14:13 6
Python Animation with Matplotlib Chart Tutorial | Line Chart Race Animation Python Code
3 years ago 00:53:11 5
Comparing 30+ AI models for datathons | MATLAB’s best model
3 years ago 00:20:47 6
Kaggle Series - Titanic Machine Learning from disaster