Jithin Pradeep's Projects
Implementation of ACO in java and Python
Review classification and recommendation system based on random forest and data analysis of amazon food review dataset
Credit Card Fraud Analysis and Detection - - Anonymized credit card transactions labeled as fraudulent or genuine. The project was intended to detect fraudulent transactions from a highly imbalanced dataset.
In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.
Decision tree implementation from scratch
Contains various assginment I have completed as part of certificatio programs and my own learning worksapce.
Digit Recognizer is a Kaggle based competition. In this competition, goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. Implemented different machine learning algorithms (Convolutional Neural Network, Random Forest, Support Vector Machine, Gradient Boosted Method) to improve the accuracy of model.
TensorFlow examples
Exploratory Data analysis
A novel feature selection algorithm using ACO-Ant Colony Optimization, to extract feature words from a given web page and then to generate an optimal feature set based on ACO Metaheuristics and normalized weight defined as a learning function of their learned weights, position and frequency of feature in the web page. JAVA based ACO Framework
These are implemenatation of various problem much like the puzzle kind problem, It fun to decode them first and then try to implement an appropriate program
Implemenattaion of Gennetic Algorithm in python
GPS & GSM based Real-time Train Tracking System-Application was developed to spot real time position and timing of train with automated announcement inside the train for passenger assistance. Trains were tracked in real time on Google map and additional facilities for passenger to track train using SMS services.
Graph tool repo, modified
For students of Harvard CSCI E-96 Data Mining for Business
Analysis tools for high resolution cortical MRI
Identify characters from Google Street View images - Competition focuses on the task of identifying characters from Google Street View images. It differs from traditional character recognition because the data set contains different character fonts and the background is not the same for all images.
Example of Large-scale brain modelling in Python using nengo
Learning and working Google Colaboratory
Learning Neural Network with TensorFlow
Library Management System - My first project of life - using Turbo C++, place where I started learning.
Impelementation of various Machine Learning Algorithms using MATLAB and Python
Machine learning Notes - Jithin Pradeep
Sample applications built using AWS' Amazon Machine Learning.
My reference and notes