/Collection-of-Fundamental-Data-Science-ML-DL-Projects-in-Python

10 Fundamental Grassroots-driven Machine Learning & Deep Learning Projects

Primary LanguageJupyter NotebookMIT LicenseMIT

Collection-of-Fundamental-Data-Science-ML-DL-Mini-Projects

This Repository contains 10 Fundamental Grassroots-driven Machine Learning & Deep Learning Projects ranging from various domains in Data Science using Python. Almost every ML algorithm along with the relevant Data Visualization and Exploratory Data Analysis(EDA) required has been implemented and used in one or many of the projects. These projects are aimed at achieving a conceptual level of practical understanding of almost every type of problem under the hood in Data Science. The Projects range from basic Regression and Classification problems to high-level Image Recognition in CV (Computer Vision) and Tweets Classifier Put something good n appropriate here in NLP (Natural Language Processing).

Contents

  • Regression

    1.dffw
    2.frf
    3.bro

  • Classification

    1.Titanic Survival Prediction
    2.Breast Cancer Prediction
    3.Iris-Flower Classification
    4.Cardography STG Classifier
    5.Loan Prediction

  • Computer Vision (CV)

    1.Animals Classifier
    2.Digit Recognizer
    3.Fashion MNIST Recognizer
    4.Santa/Not-Santa Classifier
    5.Rock-Paper-Scissor Recognizer

  • Natural Language Processing(NLP)

    1.ff
    2.gg

  • Miscellaneous

    1.Fraud Customer Detection using Self Organizing Maps
    2.Recommender System using Boltzmann machines
    3.Flipkart Website - Web scrapping

Contributors

-Rohan Limaye: https://github.com/rylp
-Rohan Naik: https://github.com/rohan-naik07