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Contains Realtime machine_learning projects for research purposes

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About this Repo

This Repo consists of Machine Learning based projects that are build on opensource frameworks like scikit-learn, keras , tensorflow.

Folder from_stratch consists of ML projects that are build from scratch .

  1. Neural Networks from scratch ,

    This project was build with the intent of gaining more insighst about neural networks , Stochastic-gradient-descent , Logistic regresssion

  2. Kmeans ,

    Mimicks the scikit-learn's kmeans clustering algorithm from scratch using just numpy.

  3. Gradient-Descent,

    Implementation of gradient-descent without using any ML frameworks , just using numpy for computation and matplotlib for visualization.

  4. Logistic Regression,

    Implementation of Newtons-method ( Second-order-Optimisation ) from scratch & using numpy for computation and matplotlib for visualization.

Folder supervised consists of Real-time-applications / Projects based on supervised Learning.

  1. best_gender_classifier,

    This provides some insights about comparing the classifiers , basic hyperparameters for a particular dataset.

  2. twitter_sentiment_analysis,

    A Realtime twitter-api which fetches tweets based on topic , performs sentiment analysis.

  3. stock_price_prediction,

    Time-series based problem , build using keras api .

  4. recommendation_systems,

    With grouplens dataset , providing collaborative + content based recommendations.

  5. deep_dream_generator,

    Using tensorflow's convnet to perform deep dream , gradient-descent on images , video (under-development).

  6. humane_or_not,

    Recognising whether the given image is humane or not ,using convnet built on keras.

  7. genetic_programming, (under-developement)

    Using genetic programming to find the hyperparameters for a given dataset.

  8. emnist, (under-developement)

    Project to recognise handwritten alphanumeric character with dataset using emnist (extention of mnist).

Folder unsupervised consists of Real-time-usecases / Projects based on unsupervised Learning.

  1. RGB-Grey,

    Converting Images of one color system (RGB) to another color system (Grey) using Autoencoders.

  2. color_quantization,

    Finding the dorminant colors present in the picture , frequency of occurance.

  3. wordvec, (under-developement)

    A simple service that lets you find related words that is related to "Arts" industry.

Folder datamining consists of data-mining based projects.

  1. orthonearme, (under-development)

    Web-app that lets you find the Ortho specialist near your proximity , based on rating / comments.

Credits:

Thanks to siraj raval.

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Contains Realtime machine_learning projects for research purposes

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