srisha03 Goto Github PK
Name: Srisha Balaji
Type: User
Bio: Learning how machines learn
Srisha Balaji's Projects
abode-abacus
Property Investment ROI Calculator
acme_customersurvey_classification
Predict if a customer is happy or not based on the answers they give to questions asked
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.
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
creditcardfraud-imbalanceddataclassification
Handling imbalanced data with classification models to accurately detect whether a transaction is a normal payment or a fraud
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.
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
nlp-seller-pricing-recommendation-with-item-description
Recommend resale prices to users selling their used products an e-commerce app using natural language processing.
predict-houseprices-regression-ensembletechniques
Utilizing Ensemble Models to Predict House Prices
salary-prediction
Predicts salary based on job descriptions
sentinelpost
A Personalized, Safe AI News Platform
song-classifier
Song Genre Classification with Audio Data
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
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.
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
titanic-dataset-ensemble-models-survival-classification
Taking the titanic data set classification to the next level by experimenting with bagging, boosting and stacking
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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