Pinned Repositories
Autistic-Spectrum-Disorder-ASD-Detection
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
Building-a-chatbot-using-RASA-plus-Deployment
Building a conversational bot (chatbot) which can help users discover restaurants across several Indian cities using RASA
Car-Price-Prediction-Model-for-an-automobile-consulting-company
The goal of this project is to build multiple linear regression models for the prediction of car prices.
Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.
Fraud_Analytics_Credit_Card_Fraud_Detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
House-Price-Prediction-Project-for-a-US-based-housing-company
The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an effective regression model using regularization (i.e. advanced linear regression: Ridge and Lasso regression) in order to predict the actual values of prospective housing properties and decide whether to invest in them or not.
Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification
The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.
Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
Udacity-CVND-Project1-Facial-Keypoints-Detection
Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.
Udacity-CVND-Project2-Automated-Image-Captioning
This project aims at training a CNN-RNN model to predict captions for a given image. The main task is to implement an effective RNN decoder for a CNN encoder.
ChaitanyaC22's Repositories
ChaitanyaC22/Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver
The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.
ChaitanyaC22/Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
ChaitanyaC22/Car-Price-Prediction-Model-for-an-automobile-consulting-company
The goal of this project is to build multiple linear regression models for the prediction of car prices.
ChaitanyaC22/Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification
The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.
ChaitanyaC22/House-Price-Prediction-Project-for-a-US-based-housing-company
The goal of this project is to garner data insights using data analytics to purchase houses at a price below their actual value and flip them on at a higher price. This project aims at building an effective regression model using regularization (i.e. advanced linear regression: Ridge and Lasso regression) in order to predict the actual values of prospective housing properties and decide whether to invest in them or not.
ChaitanyaC22/Lending-Club-Project---Data-Analysis-for-a-consumer-finance-company
Lending Club is a consumer finance company that specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. The project work aims to help the company in understanding the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default. The company can utilize this knowledge for its portfolio and risk assessment.
ChaitanyaC22/Telecom-Churn-Prediction
In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.
ChaitanyaC22/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
ChaitanyaC22/Udacity-CVND-Project3-Landmark-Detection-and-Tracking-Graph-SLAM
Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.
ChaitanyaC22/Building-a-chatbot-using-RASA-plus-Deployment
Building a conversational bot (chatbot) which can help users discover restaurants across several Indian cities using RASA
ChaitanyaC22/Deep_Learning_Hand_Gesture_Recognition_Project
The objective of this project is to recognize hand gestures using state-of-the-art neural networks.
ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
ChaitanyaC22/Numerical_TicTacToe_Agent_using_Reinforcement_Learning
Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.
ChaitanyaC22/Syntactic-Processing-POS-Tagger
NLP: HMMs and Viterbi algorithm for POS tagging
ChaitanyaC22/Udacity-CVND-Project1-Facial-Keypoints-Detection
Applying knowledge of image processing and deep learning to create a convolutional neural network (CNN) for facial keypoints (eyes, mouth, nose, etc.) detection.
ChaitanyaC22/Udacity-CVND-Project2-Automated-Image-Captioning
This project aims at training a CNN-RNN model to predict captions for a given image. The main task is to implement an effective RNN decoder for a CNN encoder.
ChaitanyaC22/Autistic-Spectrum-Disorder-ASD-Detection
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
ChaitanyaC22/ChaitanyaC22
Configuration Files (GitHub profile related)
ChaitanyaC22/Investment-Analysis-for-an-Asset-Management-Company
Data analysis to identify the best sectors, countries, and a suitable investment type for making investments.
ChaitanyaC22/Neural-Network-using-Numpy
Introduction to Neural Networks (Create a neural network using Numpy)
ChaitanyaC22/Udacity-AWS-MLE-ND-Exercises
This repository holds a compilation of the hands-on exercises from the 'AWS x Udacity's Nanodegree Program'