Srisha Balaji's repositories
Classification_Imbalanced_FeatureImportances
Handling imbalanced data to predict if customers will subscribe to a term deposit. Determine significant contributing features. Customer Segmentation to identify key customer groups to target the product to.
Titanic-Dataset-Ensemble-Models-Survival-Classification
Taking the titanic data set classification to the next level by experimenting with bagging, boosting and stacking
ACME_CustomerSurvey_Classification
Predict if a customer is happy or not based on the answers they give to questions asked
CNN-ImageClassification-CatOrDog-Keras
Building a CNN in Keras to train a classifier to predict class of the input image
Connected-Vehicles
Engineering composite modules to be installed on vehicles and roadside units to build a connected vehicular network with an objective to avert on-road accidents and provide assistance in case of fatalities
Customer-Profiling-Consumer-Value-Analysis
Detailed analysis of a company's customer data to evaluate their operations and build a metric to assess the innate value of each customer.
NLP-Seller-Pricing-Recommendation-with-Item-Description
Recommend resale prices to users selling their used products an e-commerce app using natural language processing.
SentinelPost
A Personalized, Safe AI News Platform
Stock-Price-Prediction-RNN-LSTM
Predict the upward/downward trend of google's stock price using a stacked LSTM RNN
Talent_Scout
Identify the most suitable candidates based on their LinkedIn headline with respect to input search tags utilizing NLP tecniques assessing a similarity score. Accomodate a supervisor signal to choose the most suitable candidate from the initial recommendations to generate new results.
Target-Market-via-Market-Segmentation
Implemented regression models to predict house prices and classification models to segment people of varied income groups with an objective to target market appropriate houses to suitable buyers.
CreditCardFraud-ImbalancedDataClassification
Handling imbalanced data with classification models to accurately detect whether a transaction is a normal payment or a fraud
Database-Foundations-Assignments
UT Dallas - MS Business Analytics - Database Foundations - Assignments/Homework/Project - SQL - MongoDB
Determine-CustomerChurn-Probabilty-via-ANN
Artificial Neural Networks to determine probability of customer churn
KafkaPlayground
Experiment and learn and with Apache Kafka
KMeansClustering
KMeans Clustering Essentials
ML-FlaskApp-Docker
A Random Forest classification model factorized into a Flask App and run via Docker
Movie-Recommendation-Systems
Simple, Content Based and Collaborative Filtering Approaches to making a Movie Recommender
Named-Entity-Recognition-BiDir-LSTM
Named Entity Recognition with a BiDirectional LSTM
NLP-Resources
Deep Dive Learning Material for Natural Language Processing
Predict-HousePrices-Regression-EnsembleTechniques
Utilizing Ensemble Models to Predict House Prices
Salary-Prediction
Predicts salary based on job descriptions
Song-Classifier
Song Genre Classification with Audio Data
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Term-Deposit-Subscription-ImbalancedData-Classification
The classification goal is to predict if a bank's client will subscribe a term deposit or not where the target variable is imbalanced