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  1. Case-study-Projects-ML-DL Case-study-Projects-ML-DL Public

    I worked upon a variety of case study projects while following end to end pipeline.

    Jupyter Notebook 1

  2. EDA_TSNE_On_-DonorsChoose EDA_TSNE_On_-DonorsChoose Public

    Exploratory Data Analysis with TSNE ON_ DonorsChoose data set

    Jupyter Notebook 1

  3. Apply-Decision-Trees-on-Donors-Choose-dataset Apply-Decision-Trees-on-Donors-Choose-dataset Public

    Apply Decision Trees on Donors Choose dataset

    Jupyter Notebook

  4. Apply-K-means-Cluster_-Agglomerative-Clustering_-DBSCAN-clustering-algorithms-on-DonorsChoose-Data Apply-K-means-Cluster_-Agglomerative-Clustering_-DBSCAN-clustering-algorithms-on-DonorsChoose-Data Public

    Jupyter Notebook

  5. Apply_Random_Forest_and_XGBoost_DonorsChoose-DataSet Apply_Random_Forest_and_XGBoost_DonorsChoose-DataSet Public

    Apply_Random_Forest_and_XGBoost_DonorsChoose DataSet

    Jupyter Notebook

  6. Applying-Various-CNN-Networks-on-MNIST-Dataset Applying-Various-CNN-Networks-on-MNIST-Dataset Public

    Applying Various CNN Networks on MNIST Dataset

    Jupyter Notebook