AnuragSChatterjee/CodeAcademy-Machine-Learning-In-Python-Project-Handwriting-Recognition-Using-K-Means-Clustering

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AnuragSChatterjee/CodeAcademy-Machine-Learning-In-Python-Project-Handwriting-Recognition-Using-K-Means-Clustering

AnuragSChatterjee

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The U.S. Postal Service has been using machine learning and scanning technologies since 1999. Because its postal offices have to look at roughly half a billion pieces of mail every day, they have done extensive research and developed very efficient algorithms for reading and understanding addresses. And not only the post office, ATMs can recognize handwritten bank checks. Evernote can recognize handwritten task lists and Expensify can recognize handwritten receipts. In this project, I used K-means clustering (the algorithm behind this magic) and scikit-learn to cluster images of handwritten digits

Multilayer-Perception-MLP-Neural-Network-Implementation-In-FPGA

A final semester based group project for EE4218: Embedded Hardware System Design module in NUS where I worked with my teammate to perform Machine Learning models i.e. MLP Neural Networks on an FPGA using C, C++, Hardware Description Languages (HDL), High Level Synthesis (HLS) and Verilog.

Audio-Transcription-And-Processing-Using-Speech-Recognition

Transcribe audio files to text using Speech Recognition and Python libraries.

Codeacademy-Project-SQL-New-York-City-Restaurants

As part of a CodeAcademy project, there is a table of restaurants called nomnom attached and used SQL commands to find the best dinner spots in the city.

Electronics-Design-Engineering-Piezoelectric-Sensor-Applications-For-Mechanical-Vibration-Control

Worked in an engineering startup in Singapore as an Electronics Design Engineer. Used PCB Design (EAGLE CAD), MATLAB Programming, Arduino & Circuit Simulation (LTSpice) for sensors development.

COVID_19_Data_Analysis_In_Python

Worked with an actual COVID19 dataset, published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each country.

Jupyter Notebook

Natural-Language-Processing-Models-Testing-And-Evaluation-For-MCQ-Generation-In-Examinations

Worked in a high-growth AI software tech startup in Singapore, where I tested out NLP models and evaluated their performance using Python and Pandas for optimum MCQ Generation in school examinations.

Jupyter Notebook

CodeAcademy-Machine-Learning-In-Python-Project-Perceptron-Logic-Gates

In this project, I used perceptrons to model the fundamental building blocks of computers i.e logic gates which are pivotal components in electrical circuit/eletronics design which is my field of study!

Codeacademy-Python-Project-CrunchiesMunchies

A mini small scale project involving numpy

CodeAcademy-Machine-Learning-In-Python-Project-Find-The-Country-Flag

In this project, I've used decision trees to try to predict the continent of flags based on several of features such as colours and shapes

CodeAcademy-Machine-Learning-In-Python-Project-Breast-Cancer-Classifier

In this project, I have used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer or not in general

AnuragSChatterjee

Config files for my GitHub profile.

Multiple-Linear-Regression-Model-Using-Scikit-Learn

In this project-based course on Coursera, I built and evaluated multiple linear regression models using Python. I used scikit-learn to calculate the regression, while using pandas for data management and seaborn for plotting. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper. Built univariate and multivariate linear regression models using scikit-learn, perform Exploratory Data Analysis (EDA) and data visualization with seaborn, evaluate model fit and accuracy using numerical measures such as R² and RMSE, and model interaction effects in regression using basic feature engineering techniques.

Jupyter Notebook

World_Happiness_Report_Using_K_Means_Clustering

In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic production, social support, life expectancy, freedom, absence of corruption, and generosity. The World Happiness Report determines the state of global happiness. The happiness scores and rankings data has been collected by asking individuals to rank their life from 0 (worst possible life) to 10 (best possible life).

Jupyter Notebook

CodeAcademy-Machine-Learning-In-Python-Project-Predicting-Titanic-Survival

In this project, I created a Logistic Regression machine learning model that predicts which passengers survived the sinking of the Titanic, based on features like age and class.

NUS-Mars-Rover-Team-2021-22-Electrical-Engineering-Team

Worked as an Electrical Engineer for the NUS Mars Rover Team - a engineering team representing NUS where we competed with 50+ universities worldwide. Worked on Component Design & Power Calculations.

IoT-Software-Engineering-For-Product-Development-Of-Hospital-Fall-Detection-Capabilities

Worked as a Software Engineer (IoT) in a nascent hardware startup in Singapore. Used Python Socket Programming, Client-Server Communication, TCP Network & Raspberry Pi for product development.

Electricity-Prices-Prediction-Model-Using-Machine-Learning-

Tried to make an Electricity Price Predictor Model using Machine Learning for fun.

Jupyter Notebook

CodeAcademy-Machine-Learning-In-Python-Project-Honey-Production-Predictions-USA-2012-To-2050

Codeacademy Machine Learning Project In Python: Honey production analysis and prediction till 2050 using Linear Regression

Codeacademy-SQL-Basic-Project-Trends-In-Startups-2020

DS101-Data-Science-Project-In-Python-Airbnb-2017-Data

Data Science project in Python to analyze & mine reviews people have submitted on Airbnb rentals in 2017 to provide analytics & visualization in Matplotlib on customer bookings in Singapore in 2017.

CodeAcademy-Machine-Learning-In-Python-Project-Predicting-Income-Using-Random-Forest

In this project, I used the dataset containing census information based in year 1994 from UCI’s Machine Learning Repository. By using this census data with a random forest, we will try to predict whether or not a person makes more than $50,000 a year as income.

Codeacademy-Python-Project-Getting-Ready-for-Physics-Class

Imagine that you are a physics teacher preparing for the upcoming semester. You want to provide your students with some functions that will help them calculate some fundamental physical properties using python

Codeacademy-Project-SQL-How-To-Hack-Hacker-News

Hacker News is a popular website run by Y Combinator. It’s widely known by people in the tech industry as a community site for sharing news, showing off projects, asking questions, among other things. In this project, you will be working with a table named hacker_news that contains stories from Hacker News since its launch in 2007. It has the following columns: title: the title of the story user: the user who submitted the story score: the score of the story timestamp: the time of the story url: the link of the story This data was kindly made publicly available under the MIT license.

Codeacademy-Project-SQL-Basic-Table-Creation-Friends-List---Beginner-Level

A basic project where I have tried to add, remove and update a sample table I found online in Codeacademy in SQL

NUS-CS3237-Introduction-To-Internet-Of-Things-IoT

An IoT module that I took as a year 4 undergraduate at the National University Of Singapore (NUS). Used TensorFlow, Keras and C++ for my labs and final group project.

Jupyter Notebook

Codeacademy-Python-Project-Petal-Power-Inventory

Mini project where I, as a data analyst, was tasked to analyze the inventory of a fictitious gardening stores company called Petal Power Factory.

EG3301R-Innovation-And-Design-Final-Year-Project---National-University-Of-Singapore

Our final year Innovation & Design project at the National University Of Singapore (NUS). Our project is on Smart Laundry Factory Automation using IoT and this is our first failed start-up idea.

Natural-Language-Processing-NLP-For-Language-Translation

Developed code to use Google Translate API to translate different languages out of sheer curiosity only

Jupyter Notebook

IoT-Engineering-Client-Server-TCP-IP-Socket-Programming-For-Hospital-Fall-Detection

Created IoT source codes as a software engineer for a nascent startup i.e. Homepal, recently incubated in NUS to enable hardware-software integration of Raspberry Pi to different servers i.e. laptops and pi-camera for effective fall detection in hospitals, especially on slippery surfaces.