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Anish Pawar - My road to Data Science

About

This is a repository I have created to track my progress in Data Science/AI related topics in order to organize my knowledge and goals. Purpose of doing this is self-motivation, portfolio and to realign my goals.

Table of contents

Projects

This sections contains end-to-end projects I created in I used Deep Learning algorithms for problem solving.

Name Description Algorithm Tech used Implementation Report Creation Date
Pneumonia Detector A web application designed to assist doctors/common man in detecting Pneumonia CNN Keras, Flask, JS link link 6/1/2019
Distracted Driver Detector An android application which continuously scans driver of a vehicle and detects and alerts if he's distracted or sleepy CNN Tensorflow Lite, Keras, Java WIP WIP -

Mini Projects

This is a list of projects that I worked on to learn how to solve real world industry problems.

Problem Description Algorithm Accuracy Implementation Dataset Creation Date
Fintech Case Study Directing customers to subscription through App Behaviour Analysis Logistic Regression 76% Python (sklearn,numpy) App Behaviour Dataset 22/12/2018
Breast Cancer Classification Classified cancer type into Benign or Malignant Support Vector Machine 96% Python (sklearn,numpy) Breast Cancer Wisconsin Dataset 20/11/2018

Programming Showcase

In this section I want to show off my knowledge about using various ML and AI related algorithms, frameworks, programming languages, packages, libraries etc. This includes the assignments I performed to learn how an algorithm works.

Raw Python and R

Algorithm Language Implementation Dataset Creation Date
Linear Regression R (raw) link generated numbers 10/10/2018
Market Basket Analysis R (arules) link groceries 26/10/2018
K-means Clustering Python (raw) link xclara 27/10/2018
SVM Python (sklearn) link baking recipies 28/10/2018
PCA R link groceries 30/10/2018

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