Pinned Repositories
convfinqa_chatbot
crag_based_recommender_system
Credit_History_Data_Analysis
Analysed the credit history data to design a credit scoring model and train Linear Regression and Logistic Regression models to automatically detect high risk and low risk applications
Enhancing-performance-of-big-data-machine-learning-models-on-Google-Cloud-Platform
The project is focused on parallelising pre-processing, measuring and machine learning in the cloud, as well as the evaluation and analysis of the cloud performance.
Facial_Emotion_Recognition
Project aimed to compare the performances of MLP, SVM and CNN algorithms in detecting the facial emotions. It also uses a pre-trained model and evaluates its performance in facial emotion recognition.
GDP_and_HappinessIndex_Correlation_using_ElmVegaLite
Project using the concepts of data visualisation and design to understand if higher GDP corresponds to higher Happiness Index in countries around the world.
MachineLearning_models_using_Matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
Omicron_Tweet_Analysis
A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data
Predicting_Customer_Churn_Neural_Network
A Comparative Study in Customer Churn Prediction through Multilayer Perceptrons and Support Vector Machines
Suicide_Prediction_in_India
Suicides in India 2019: A Case Study on the impact of the societal constructs on Mental Health
AnveshaM's Repositories
AnveshaM/Enhancing-performance-of-big-data-machine-learning-models-on-Google-Cloud-Platform
The project is focused on parallelising pre-processing, measuring and machine learning in the cloud, as well as the evaluation and analysis of the cloud performance.
AnveshaM/Facial_Emotion_Recognition
Project aimed to compare the performances of MLP, SVM and CNN algorithms in detecting the facial emotions. It also uses a pre-trained model and evaluates its performance in facial emotion recognition.
AnveshaM/GDP_and_HappinessIndex_Correlation_using_ElmVegaLite
Project using the concepts of data visualisation and design to understand if higher GDP corresponds to higher Happiness Index in countries around the world.
AnveshaM/MachineLearning_models_using_Matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
AnveshaM/Omicron_Tweet_Analysis
A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data
AnveshaM/Predicting_Customer_Churn_Neural_Network
A Comparative Study in Customer Churn Prediction through Multilayer Perceptrons and Support Vector Machines
AnveshaM/Suicide_Prediction_in_India
Suicides in India 2019: A Case Study on the impact of the societal constructs on Mental Health
AnveshaM/convfinqa_chatbot
AnveshaM/crag_based_recommender_system
AnveshaM/Credit_History_Data_Analysis
Analysed the credit history data to design a credit scoring model and train Linear Regression and Logistic Regression models to automatically detect high risk and low risk applications
AnveshaM/data
Data for Data Visualisation Coursework
AnveshaM/Huggingace_for_Knowledge_Graph_Completion
Designed pipeline for completing the enterprise Knowledge Graph at R2 Factory to reduce number of incorrect triples and predict missing relations and entities;
AnveshaM/ivy
The Unified Machine Learning Framework