classification-model deep-neural-networks dnn kaggle kmeans-clustering knn linear-regression logistic-regression lstm lstm-neural-networks neural-networks numpy pandas python random-forest regression-models rnn sagemaker scikit-learn svm

Machine Learning Models

Machine Learning models developed for predictive analysis over data sets from Kaggle, Google Datasearch, etc. This repository is maintained to keep practice over the wide range of machine learning and deep learning models. The models are developed from scratch or directly imported from suitable libraries and frameworks.

Pre-requisites:

Tools and Libraries needed:

Numpy
Pandas
Matplotlib
Seaborn
Plolty

Usage

The notebooks and scripts can be used for reference and education purposes.

git clone https://github.com/pr2tik1/ml-case-studies.git

Author

References and Credits:

Udacity
CS231n
Kaggle
Coursera

About

Learning Machine Learning by implemention

classification-model deep-neural-networks dnn kaggle kmeans-clustering knn linear-regression logistic-regression lstm lstm-neural-networks neural-networks numpy pandas python random-forest regression-models rnn sagemaker scikit-learn svm

Languages

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