Projects in Awesome Lists by VyjayanthiPolapragada
A curated list of projects in awesome lists by VyjayanthiPolapragada .
https://github.com/vyjayanthipolapragada/prediction_logistic_regression
~ In Progress : Predicting the species of plants using logistic regression with python.
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/influencer_optimal_selection
This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for selecting influencers based on engagement and cost for a marketing campaign.
branch-bound-algorithm branch-cut data-analytics data-science genetic-algorithm milp-optimisation optimization-algorithms pandas python
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/startup_success_classification
This project focuses on developing predictive models that classify startups based on key performance indicators, enabling investors and stakeholders to make data-driven decisions.
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/human_detection_hog
Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor
computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/marketing_statistical_analysis
Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns
customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/logistic_regression_classifier
Built a classifier using Logistic Regression model to classify different species of flowers
cancer-classification classification data-science flower-classification jupyter-notebook logistic-regression pandas python scikit-learn
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments
Analyzing the data set which consists of medical appointments to draw insights about patient's no-show scenarios
data-analysis data-analytics data-cleaning data-visualization data-wrangling jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/cognitive_surveillance
Cognitive Surveillance system -- detect any malicious activity (when person is looking away from camera) and alert though warning popups and email notifications (to the concerned authority)
email eye-tracking facemesh facial-landmarks head-pose-estimation mediapipe mime opencv os python smtp tkinter
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/kmeans_clustering_customer_analysis
Using the algorithm of KMeans to analyse real customer datasets and draw valuable insights to boost business stragegy
algorithms analysis customer-data jupyter-notebook kmeans-clustering machine-learning matplotlib pandas python scikit-learn
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog
Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.
artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/genetic_algorithms_knapsack_problem
Solving a single constraint binary (0-1) Knapsack problem using the concept of Genetic Algorithms
crossover fitness genetic-algorithms knapsack-problem mutation population python selection
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/mean_shift_clustering
Implementing the mean-shift algorithm using python for different use cases
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/car_mileage_prediction
Predicting the mileage of car using the linear regression model with Scitkit-learn
Last synced: 22 Mar 2025
https://github.com/vyjayanthipolapragada/genai_smart_retail_recommendation
GenAI Smart Retail is a recommendation system designed for retail environments. It provides personalized product recommendations to users based on product descriptions using a content-based filtering approach. The system leverages FastAPI for backend integration, allowing users to interact with the recommendation engine via an API. This project aim
content-based-recommendation data-analysis data-science data-visualization fastapi gen-ai instacart-data jupyter-notebook open-ai python3 retail scikitlearn-machine-learning stream
Last synced: 15 Mar 2025
https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer
Last synced: 28 Apr 2025