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advanced-machine-learning-assignments

This repo contains assignments for the specialization of Advanced Machine Learning Course in coursera

air-quality-modelling-using-regression

algorithm-visualizer

This project involves developing a tool which will visualize Data Structures and Algorithms. Important algorithms like Sorting, Graphs, Linked List, Trees etc will be implemented. I have used React Js for developing the tool

competitive-coding

coronavirus-tracker

This repository is a mini project for Tracking Corona virus using Coronavirus COVID-19 Data. A dash board has been created which shows number of reported cases, deaths and recovered cases followed by detailed description of geography wise information. I used Java, Spring Boot, Thymleaf for building the application.

coronavirustracker

covid19-tracker

This is a react application used to monitor COVID-19 Statistics. I have used Material UI to build the UI and axios to fetch data from COVID-19 api

deep-learning-frameworks

Some of the deep learning projects using Programming Frame works like Tensorflow, Pytorch, Keras etc

deep-learning-specialization

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

digit-recognition-from-0-to-9-in-python

Digit Recognition(from 0 to 9) using sklearn ensemble and random forest classifier

docsapp

This app is created as a part of final year engineering project. This is a prototype of the idea of communication between doctor and patient via android app. The patient can fix appointment with doctor via App, Doctor can send message to pharmacy and diagnostic centre of all the medicines and Diagnostic tests via App. Pharmacists and Diagnosticians can even send the reply to doctor telling the status of the tasks assigned to them. Back end of the project is coded in Google firebase, a convenient nosql database.

genderfromnames

This repo contains model Trained using LSTM(Long Short term Memory) in keras for predicting the gender of people given their names. Approximately 92% Training Accuracy,89% Validation Accuracy and 89% Testing accuracy has been achieved after training for 25 epochs on 76000 training examples.

housing-price-predictions

This repo do data analysis with California Housing Prices dataset from the StatLib repository.

intelligent-qr-code-generator-for-baggage-content-monitoring

The project Intelligent QR Code generator for baggage content monitoring is done as a part of curriculum for the course "Product Design and Development". Project aims at developing a simple GUI which takes user details like Name,Address,Passport Number as Input and generate a QR code tag which contains area wise percentage of metallic and non-metallic components in user's baggage. It uses X-ray images generated by X-ray baggage scanner (often present in airports). Project code is written in python and uses Tkinter and open cv packages.

k-means-clustering-python-implementation

A random two dimensional data set is generated with 1000 examples. K Means clustering algorithm is performed on those examples to find the patterns in them. Results have been visualized. Note that this is only for practice

let-s-chat

Android Application which serves as a messaging app between two users.

linear-regression-in-java

linearregression-weatherhistory-

Simple linear Regression to predict Temperature and Apparent temperature from humidity. Dataset was download from Kaggle

machine-learning-andrew-ng-course-assignments

machine-learning-using-scikit-learn-and-other-libraries

Machine Learning algorithms implementation using Python

machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

machine_learning_examples

A collection of machine learning examples and tutorials.

mooc-coursera-advanced-machine-learning

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

python-implementation-of-andrew-ng-machine-learning-course

This repository contains programming exercises implemented using python for the course of Machine learning by Andrew Ng coursera. Original Programming exercises were implemented using matlab/octave. This project gives indepth understanding of Machine learning algorithms discussed by Andrew ng in original course.

tensorflow-in-practice

titanic-machine-learning-from-disaster-binary-classification-

urandur_pavankalyan_c3_project