LP-III-SPPU-2019-PATTERN-BE-COMPUTER-ENGINEERING-LP-III-PRACTICALS-CODES-MINIPROJECTS-ML-DAA-BLOCKCH

LP-III SPPU 2019 PATTERN BE COMPUTER ENGINEERING LP III PRACTICALS CODES MINIPROJECTS ML DAA BLOCKCHAIN REPORTS

Implement the Naive string matching algorithm and Rabin-Karp algorithm for string matching. Observe difference in working of both the algorithms for the same input.

Build a machine learning model that predicts the type of people who survived the Titanic shipwreck using passenger data (i.e. name, age, gender, socio-economic class, etc.). Dataset Link: https://www.kaggle.com/competitions/titanic/data

Titanic-Survival-Prediction

Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger

The most famous competition over the kaggle . In this Repository my intention is to basically explain to every beginner but how to begin with Kaggle very first time. So this repository is for those who just begin their Machine Learning Journey. In this notebook i try to take down every single topic with a very naive approach so every beginner can grasp it very easily.

Dependencies:

Python3
Numpy
Pandas
Matplotlib
Supervised Learning
Machine Learning Algorithm
Classification Algorithms

This Notebook will show basic examples of:

Data Handling
Importing Data with Pandas
Cleaning Data
Exploring Data through Visualizations with Matplotlib

Data Analysis:

Supervised Machine learning Techniques: + Logit Regression Model + Plotting results + Support Vector Machine (SVM) using 3 kernels + Basic Random Forest + Plotting results.

PS: Please do not forget to drop a star if you like it!

Write a survey report on types of Blockchains and its real time use cases.