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twitter_sentiment_analysis
Flask application used to analyze tweets and their sentiments based on a hashtag.instaknow_backend
Analyse sentiments of Instagram users based on their post captionsmedical_cost_estimator_startup
Fully deployed startup project to estimate/predict medical costsartgan
mouse_gesture_control
Controlling the mouse using hand gesturespneumonia_detection_cnn
Using transfer learning to detect Pneumonia from chest x-ray imagesMachine-Learning-LinearRegression
Implementing a real life problem of calculating the fuel efficiency or a car with a dataset containing the variables. Implementation of Linear Regression in order to predict the fuel that may be used for 1200 miles with a calculation of R^2 and predicted value.boston_crime_analysis
Exploratory data analysis and visualization of crimes in Bostonturkey_earthquake_analysis
Visual and exploratory data analysis of turkey earthquake datacompressive_sensing
Demonstration of compressive sensing (using l0 and l1 norm) on test data.ddpm
Implementation of a simple Denoising Diffusion Probabilistic Model (DDPM)predicting_creditcard_approvals
Predicting credit card approvals using Machine Learningamazon_product_webscraping
Extracting average price for any amazon product through web scraping using scrapybi_partitioning
k_way_partitioning
intraretinal_cystoid_fluid_detection_unet
Implementation of UNet to detect intraretinal cystoid fluid.bee_classification
Classifying bees into Apis and Bombus using Deep learningmedicalcost_random_forest
Estimating medical costs using Random Forest regressionpattysitaliankitchen_menu_design
Menu and banner designs for a food startupMachine-Learning-LARSPath
Implementing LARS with LASSO to visualize the regularization path by optimal selection of variables.Machine-Learning-ElasticNetRegression
An implementation of the Elastic Net regression method to compare the difference between different regression methods.fashion_mnist_gan
Generative adversarial network trained on the Fashion MNIST datasetmsft_stock_prediction
Comparing the accuracy of different regression models to predict MSFT stock pricegaming_logo_designs
Logos designed for different gaming clans/groupsmnist_digit_classifier
Neural Network trained on MNIST DatabasePygame
Small-scale Indie games developed in Python using pygame and related modules.tedx_itmu_promotion_design
Brochures and poster made for a TEDx ITMU event using Adobe Photoshop.rest_api_flask
Boilerplate code to deploy a REST API using FlaskMachine-Learning-RidgeRegression
Implementing a Ridge Regression model to generate data and predict the values.sign_language_mnist_cnn
CNN trained to predict American sign language using sign language MNIST datasetMachine-Learning-LassoRegression
Solving a problem using Lasso Regression to show the difference between Ridge-Regression and Lasso.lr_fraud_detection
Fraud transaction detection from credit card data using logistic regressionweed_discriminant_nn
2 layer neural network to detect weeds in soybean cropswaste_classifier
Waste classification using deep learningmobilenet_tfjs_week1
In-browser Image Classification using TensorFlow.js with MobileNettf_lowlevel_implementation
Using the low level tensorflow API to implement ML modelsmedical_cost_eda
Exploratory data analysis and visualization of medical costs based on several featuresbee_image_data_preprocessing
Pre-processing image data and files and preparing them to train a ML modelevaluating_mvs_in_cpc
Multi View Stereo on Internet ImagesMachine-Learning-LogisticRegression
Implementing a LogisticRegression model to solve a categorical problem involving the record for a person with age and salary where we need to predict whether he/she will buy a laptop or not.Machine-Learning-RidgeRegressionCV
Implementing a Ridge regression model using Cross-validation technique.gaussianmixturemodels
Gaussian Mixture Models and Expectation Maximization with an exampleLove Open Source and this site? Check out how you can help us